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Outcome-Specific Efficacy of Different Probiotic Strains and Mixtures in Irritable Bowel Syndrome: A Systematic Review and Network Meta-Analysis.

Peiwei Xie, Mei Luo, Xuehong Deng, Jiahui Fan, Lishou Xiong
Meta-Analysis Nutrients 2023 33 trích dẫn
PubMed DOI PDF
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Study Design

Loại nghiên cứu
Meta-Analysis
Đối tượng nghiên cứu
Adults with IBS (RCTs)
Can thiệp
Outcome-Specific Efficacy of Different Probiotic Strains and Mixtures in Irritable Bowel Syndrome: A Systematic Review and Network Meta-Analysis. Various probiotic strains/mixtures
Đối chứng
Placebo
Kết quả chính
Outcome-specific efficacy ranking in IBS
Xu hướng hiệu quả
Positive
Nguy cơ sai lệch
Moderate

Abstract

Irritable bowel syndrome (IBS) is a common gastrointestinal disease. The efficacy of different probiotics in treating IBS remains controversial. This network meta-analysis aimed to compare and rank the outcome-specific efficacy of different probiotic strains or combinations in adults with IBS. We searched the literature up to June 2023. Randomized controlled trials (RCTs) that evaluated the efficacy of probiotics in IBS were included. A frequentist framework was used to perform this study. In total, 9253 participants from 81 RCTs were included in the study. Four probiotic strains and five mixtures were significantly superior to placebo in improving IBS Symptom Severity Scale, among which Lactobacillus acidophilus DDS-1 ranked first (surface under the cumulative ranking, SUCRA, 92.9%). A mixture containing five probiotics (SUCRA, 100%) ranked first in improving the IBS-Quality of life. Bacillus coagulans MTCC 5856 (SUCRA, 96.9%) and Bacillus coagulans Unique IS2 (SUCRA, 92.6%) were among the most effective probiotics for improving abdominal pain. Three probiotic strains and two mixtures were effective in alleviating abdominal bloating. Four probiotic strains and a mixture were significantly superior to placebo in reducing the bowel movement frequency in diarrhea-predominant IBS (IBS-D). Bacillus coagulans MTCC 5856 (SUCRA, 99.6%) and Saccharomyces cerevisiae CNCM I-3856 (SUCRA, 89.7%) were among the most effective probiotics for improving the Bristol stool form scale of IBS-D. Only some probiotics are effective for particular outcomes in IBS patients. This study provided the first ranking of outcome-specific efficacy of different probiotic strains and combinations in IBS. Further studies are needed to confirm these results.

Tóm lược

Four probiotic strains and five mixtures were significantly superior to placebo in reducing the bowel movement frequency in diarrhea-predominant IBS (IBS-D), and a mixture containing five probiotics ranked first in improving the IBS-Quality of life.

Full Text

nutrients

Systematic Review

Outcome-Specific Efficacy of Different Probiotic Strains and Mixtures in Irritable Bowel Syndrome: A Systematic Review and Network Meta-Analysis

Peiwei Xie, Mei Luo, Xuehong Deng, Jiahui Fan and Lishou Xiong *

Department of Gastroenterology, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510080, China

* Correspondence: [email protected]

Citation: Xie, P.; Luo, M.; Deng, X.; Fan, J.; Xiong, L. Outcome-Specific Efficacy of Different Probiotic Strains and Mixtures in Irritable Bowel Syndrome: A Systematic Review and Network Meta-Analysis. Nutrients 2023, 15, 3856. https://doi.org/ 10.3390/nu15173856

Academic Editors: Stefano Guandalini and Massimo Bellini

Copyright: © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).

Abstract: Irritable bowel syndrome (IBS) is a common gastrointestinal disease. The efficacy of different probiotics in treating IBS remains controversial. This network meta-analysis aimed to compare and rank the outcome-specific efficacy of different probiotic strains or combinations in adults with IBS. We searched the literature up to June 2023. Randomized controlled trials (RCTs) that evaluated the efficacy of probiotics in IBS were included. A frequentist framework was used to perform this study. In total, 9253 participants from 81 RCTs were included in the study. Four probiotic strains and five mixtures were significantly superior to placebo in improving IBS Symptom Severity Scale, among which Lactobacillus acidophilus DDS-1 ranked first (surface under the cumulative ranking, SUCRA, 92.9%). A mixture containing five probiotics (SUCRA, 100%) ranked first in improving the IBS-Quality of life. Bacillus coagulans MTCC 5856 (SUCRA, 96.9%) and Bacillus coagulans Unique IS2 (SUCRA, 92.6%) were among the most effective probiotics for improving abdominal pain. Three probiotic strains and two mixtures were effective in alleviating abdominal bloating. Four probiotic strains and a mixture were significantly superior to placebo in reducing the bowel movement frequency in diarrhea-predominant IBS (IBS-D). Bacillus coagulans MTCC 5856 (SUCRA, 99.6%) and Saccharomyces cerevisiae CNCM I-3856 (SUCRA, 89.7%) were among the most effective probiotics for improving the Bristol stool form scale of IBS-D. Only some probiotics are effective for particular outcomes in IBS patients. This study provided the first ranking of outcome-specific efficacy of different probiotic strains and combinations in IBS. Further studies are needed to confirm these results.

Keywords: irritable bowel syndrome; probiotic; network meta-analysis; outcome; efficacy

1. Introduction

Irritable bowel syndrome (IBS) is a common functional bowel disease that is induced by disorders of gut–brain interactions. Typical symptoms of IBS include recurrent abdominal pain associated with changes in stool form or frequency [1]. The prevalence of IBS is approximately 9.2% globally, but varies from 1.1% to 35.5% according to the region and diagnostic criteria [2,3]. The annual healthcare cost estimates of IBS are substantial: CNY 123 billion in China, USD 10 billion in the USA, and GBP 2 billion in the UK [4–7]. IBS exerts a great impact on quality of life and productivity for individuals [8]. Patients with IBS experience troublesome and unpredictable symptoms, which cause frequent medical visits and absenteeism [9,10]. Consistent health worries and a lack of understanding by family may lead to psychological problems in patients, such as anxiety and depression [10]. IBS imposes a huge burden on individuals and society.

The gut microbiota, which is considered the ecologic system of various microorganisms in the gastrointestinal tract, plays a critical role in the pathogenesis of IBS through the gut– brain axis [11]. Altering the composition of gut microbiota toward a healthy community has become a potential strategy for IBS treatment [12,13]. One of the representative choices

Nutrients 2023, 15, 3856. https://doi.org/10.3390/nu15173856 https://www.mdpi.com/journal/nutrients

of this strategy is probiotics, which are live microorganisms that confer a health benefit on the host when administered in adequate amounts [14]. The efficacy of particular species of probiotics in IBS has been reported in randomized controlled trials (RCTs) and metaanalyses. A recent RCT confirmed that Bifidobacterium quadruple viable tablets effectively alleviated abdominal pain and diarrhea for patients with diarrhea-predominant IBS (IBSD) [15]. Two meta-analyses indicated that probiotics had beneficial effects on abdominal pain and bloating [16,17].

However, it is still unclear which strain or combination of probiotics are effective in global IBS symptoms. It is even harder for physicians to select appropriate probiotics for IBS patients with various symptoms. Numerous single-strain probiotics and multistrain combination products have been developed for IBS every year. Instead of comprehensive evaluations from a standard system, reports from some clinical trials have focused on significant efficacy and specific outcomes in endorsements of particular probiotics [18]. The profusion of data regarding different strains or combinations of probiotics, different IBS subtypes, and different end points, outcomes, and study quality has resulted in a complex evidence network that is difficult to interpret [19]. Hence, a previous meta-analysis made conservative and cautious estimates of the efficacy of probiotics [20]. Relevant guidelines also present different attitudes toward probiotics. The British Society of Gastroenterology (BSG) guidelines set probiotics as first-line treatments but have not yet recommended a specific species or strain [12]. However, the American College of Gastroenterology (ACG) guidelines suggest against probiotics for the treatment of global IBS symptoms [18]. More detailed evidence of probiotic efficacy in IBS is needed.

In this systematic review and network meta-analysis (NMA), we aimed to evaluate the comparative efficacy of different probiotic strains and mixtures based on global conditions, mental health levels, and specific gastrointestinal symptoms.

2. Materials and Methods

This NMA was performed according to the Preferred Reporting Items for Systematic Reviews and Meta-analysis Statement (the PRISMA 2020 statement and the PRISMA Extension Statement of NMA) [21,22]. We registered a protocol (CRD42023387351) on the International Prospective Register of Systematic Reviews. Alterations of the original protocol were presented in Supplementary Text S1.

  1. 2.1. Search Strategy and Eligibility Criteria

We performed comprehensive literature searches of five databases from their inception to 1 June 2023 (Web of Science, PubMed, ClinicalTrials.gov, Cochrane Central Register of Controlled Trials, and Embase). No language restrictions were applied. The basic search strategies were as follows: ((((irritable bowel syndrome [Title/Abstract]) OR (IBS [Title/Abstract])) OR (irritable bowel syndrome [MeSH Terms])) AND (((((((((Probiotic* [Title/Abstract]) OR (Probiotic [MeSH Terms])) OR (Lactobacillus [Title/Abstract])) OR (Saccharomyces [Title/Abstract])) OR (Bacillus [Title/Abstract])) OR (Bifidobacterium [Title/Abstract])) OR (Clostridium [Title/Abstract])) OR (Streptococcus [Title/Abstract])) OR (Enterococcus [Title/Abstract]))) AND ((((((clinical trial [Title/Abstract]) OR (clinical trials [MeSH Terms])) OR (clinical trial [Publication Type])) OR (random* [Title/Abstract])) OR (random allocation [MeSH Terms])) OR (therapeutic use [MeSH Subheading])). Supplementary Text S2 presents the detailed search strategies in different databases. We also screened meta-analyses about IBS treatments published in the last five years for eligible clinical trials. The official websites of academic conferences (Digestive Disease Week, American College of Gastroenterology, Asian Pacific Digestive Week and the United European Gastroenterology Week) and probiotic companies were searched for potential ongoing studies and grey literature. These three approaches constitute the literature source for the NMA.

The inclusion criteria were as follows:

  1. 1. RCTs that compared the efficacy of probiotics with placebo or different probiotics for IBS;
  2. 2. Participants were diagnosed with IBS based on Rome I, II, III, or IV criteria, Manning criteria, or physician’s opinion;
  3. 3. Patients in the test group received single or multistrain probiotics;
  4. 4. Patients in the control group received placebo or another probiotic;
  5. 5. RCTs should report at least one of the targeted outcomes (see 2.2 Outcome assessment). Outcomes should be reported as data at baseline and endpoint, or as absolute changes during the study;
  6. 6. The treatment duration was at least two weeks. The exclusion criteria were as follows:
  1. 1. Open-label trials, single-arm studies, nonrandomized trials, reviews, protocols, and letters. Crossover RCTs that did not report data from the first stage were excluded;
  2. 2. Duplicate study;
  3. 3. Studies involving pregnant or lactating mothers, patients with a history of gastrointestinal surgery, and patients aged < 18 years;
  4. 4. Studies involving patients who received combined treatments, such as synbiotics, antibiotics, antidepressants, and psychological therapy.
  1. 2.2. Outcome Assessment
  2. 2.3. Data Extraction

Pairs of reviewers independently screened titles and abstracts of the search results. The full texts and study protocols of potentially eligible articles were examined based on eligibility criteria. Two reviewers used a piloted electronic form to extract the data independently and in duplicate (Supplementary Text S3). Data extraction included the following items: RCT general information (article title, first author, publication year, trial location, trial design, inclusion and exclusion criteria, sample size, composition and dosage of probiotics, and follow-up period), population characteristics (IBS diagnosis criteria, IBS duration and severity, sex, age, and body mass index), and outcomes of interest. Intention-

to-treat analyses were performed for data collection. Disagreements were resolved by consensus with a senior investigator. Corresponding authors were queried for original data by e-mail if the outcome data were not reported in full text.

  1. 2.4. Risk of Bias and Evidence Quality
  2. 2.5. Statistical Analysis
  3. 2.6. Efficacy Classification

We referred to a novel and succinct approach to efficacy classification proposed by Morgan et al., and the interventions were categorized into three levels as follows [36].

  1. • Level A (among the most effective): probiotics that are significantly superior to placebo and at least one probiotic at Level B;
  2. • Level B: probiotics that are more effective than placebo, but not superior to any other probiotic(s) superior to placebo;
  3. • Level C (among the least effective): probiotics with no significant difference compared with placebo.

3. Results

The literature search and refinement procedure are illustrated in Figure 1. Electronic and manual searches yielded 3903 initial records. After removing duplicates and reviewing the titles and abstracts, we evaluated the full texts of 149 articles. Ultimately, the qualitative synthesis and network meta-analysis included 81 RCTs. The references to the RCTs included in this NMA are listed in Supplementary Text S4.

  1. 3.1. Characteristics of Included Studies
  2. 3.2. Risk of Bias within Studies
  3. 3.3. Critical Results of Network Meta-Analysis

3.1. Characteristics of Included Studies

The characteristics of the included RCTs are summarized in Tables S1 and S2. This NMA included 9253 participants from 81 RCTs [15,37–116]. Participants in this study came from 25 countries ranging across Europe, North America, Asia, and Africa. The sample size ranged from 19 to 456 patients. The average age ranged from 21.8 to 63 years. Most studies (n = 53) involved recruiting all subtypes of IBS, while 18 studies focused on IBS-D and five on IBS-C. The distribution of effect modifiers is summarized in Figure S1.The classification of the included probiotics is summarized in Figure 2.

The results of the pairwise meta-analysis are summarized in Table S3. League tables for the different outcomes are summarized in Table S4. Network plots are shown in Figure S3. SUCRAs are summarized in Figure S4 and Table S5.

3.3.1. IBS-SSS

The evidence network was constructed with ten single-strain probiotics and seven multistrain groups from 18 RCTs (2628 patients, Figure 3). Moderate-certainty evidence indicated that Lactobacillus acidophilus DDS-1 (MD, −77.70; 95% CI, −101.72 to −53.68), BL + LR (MD, −80.99; 95% CI, −130.73 to −31.26), LC + LP + BAL (MD, −76.42; 95% CI, −114.90 to −37.95), LP + LC + BL + ST + LA + X (MD, −63.96; 95% CI, −78.66 to −49.26) and Bifidobacterium animalis subsp. lactis UABla-12 (MD, −48.80; 95% CI, −73.00 to −24.60)

were classified as efficacy level A (Table 1). EF + LA + X, Bifidobacterium bifidum MIMBb75, Clostridium butyricum CGMCC0313.1, and BAL + LA + BB + X were also significantly superior to the placebo in improving IBS-SSS (efficacy level B, Table 1). The top three treatments based on SUCRAs were Lactobacillus acidophilus DDS-1 (92.9%), BL + LR (91.6%), and LC + LP + BAL (90.9%) (moderate certainty).

6 of 20

  1. Figure 2. Single strain and multistrain probiotics included in network meta-analyses.
  2. Figure 3. Network plots for different outcomes. (a). IBS Symptom Severity Scale; (b). IBS-Quality of Life Measure; (c). the Hospital Anxiety and Depression Scale; (d). abdominal pain score; (e). abdominal bloating score; (f). bowel movement frequency (per week) in IBS-D; (g). bowel movement frequency (per week) in IBS-C; (h). Bristol stool form scale in IBS-D; (i). Bristol stool form scale in IBS-C. Different probiotics are represented by nodes. The size of each node is proportional to the number of patients. The width of the edges represents the number of RCTs.

Figure 2. Single strain and multistrain probiotics included in network meta-analyses.

  1. 3.2. Risk of Bias within Studies
  2. 3.3. Critical Results of Network Meta-Analysis

The results of the pairwise meta-analysis are summarized in Table S3. League tables for the different outcomes are summarized in Table S4. Network plots are shown in Figure S3. SUCRAs are summarized in Figure S4 and Table S5.

3.3.1. IBS-SSS

The evidence network was constructed with ten single-strain probiotics and seven multistrain groups from 18 RCTs (2628 patients, Figure 3). Moderate-certainty evidence

Lactobacillus acidophilus DDS-1 (MD, −77.70; 95% CI, −101.72 to −53.68), BL + LR (MD, −80.99; 95% CI, −130.73 to −31.26), LC + LP + BAL (MD, −76.42; 95% CI, −114.90 to −37.95), LP + LC + BL + ST + LA + X (MD, −63.96; 95% CI, −78.66 to −49.26) and Bifidobacterium animalis subsp. lactis UABla-12 (MD, −48.80; 95% CI, −73.00 to −24.60) were classified as efficacy level A (Table 1). EF + LA + X, Bifidobacterium bifidum MIMBb75, Clostridium butyricum CGMCC0313.1, and BAL + LA + BB + X were also significantly superior to the placebo in improving IBS-SSS (efficacy level B, Table 1). The top three treatments based on

Table 1. Critical results of network meta-analysis for the global condition and mental health condi-

BL + LR M H 700396, L. plantarum 299v,

Table 1. Critical results of network meta-analysis for the global condition and mental health condition in patients with IBS.

Efficacy Level A 1 Efficacy Level B Efficacy Level C Outcome

Probiotic NMA 2 GRADE Probiotic NMA GRADE Probiotic L. acidophilus DDS-1

−77.70 (−101.72, −53.68)

M EF + LA + X −35.00 (−60.44, −9.56)

M BL + LR −80.99

L. acidophilus ATCC 700396, L. plantarum 299v, L. plantarum CCFM8610, L. casei LCR35, L. paracasei HA-196, B. longum R0175, BAL + ST +

−29.83 (−48.24, −11.42)

B. bifidum MIMBb75

H LC + LP + BAL

M

(−130.73, −31.26)

−76.42 (−114.90, −37.95)

−21.38 (−40.47, −2.29)

C. butyricum CGMCC0313.1

IBS-SSS

M

H

LP + LC + BL + ST + LA + X

−63.96 ( 78.66, −49.26)

BAL + LA + BB + X

−18.86 ( 25.88, 11.85)

M

M

−48.80 (−73.00, −24.60)

B. lactis UABla-12

M

LP + LC + BL + ST + LA + X, S. boulardii CNCM I-475, LC + LP + BAL, LA + LR + ST + BL + BBR + X, EF + LA + X, BAL + ST + LB, LPA + LA + BAL, L. acidophilus ATCC 700396 HADStotal score

IBSQOL

LP + LC + BL + ST + LA + X

24.80 (20.65, 28.95)

4.07 (0.50, 7.65)

C. butyricum CGMCC0313.1

M

H

L. paracasei HA-196, L. acidophilus ATCC 700396

−0.34 (−0.48, −0.20)

B. longum R0175

H None

B. longum NCC3001, L. acidophilus ATCC 700396, LPA + LA + BAL

HADSanxiety

None None

L. paracasei CNCM I-1572, L. acidophilus ATCC 700396, LPA + LA + BAL

HADSdepression

−3.00 ( 4.92, 1.08)

B. longum NCC3001

H None

1 Efficacy level A (among the most effective): probiotics that are significantly superior to placebo and at least 1 probiotic in level B. Efficacy level B: probiotics that are more effective than placebo, but not superior to any other of the probiotic(s) superior to placebo. Efficacy level C (among the least effective): probiotics with no significant difference compared to placebo. 2 The network meta-analysis results were the efficacy of probiotics compared to placebo. Mean difference with 95% confidence intervals in parentheses. Abbreviations: IBS-SSS, IBS Symptom Severity Scale; IBS-QOL, IBS-Quality of Life Measure; HADS, the Hospital Anxiety and Depression Scale; GRADE, The Grading of Recommendations, Assessment, Development and Evaluation system; H, high; M, moderate; L, low.

  1. 3.3.2. IBS-QOL
  2. 3.3.3. HADS Score

Evidence networks were constructed with five single-strain probiotics and a multistrain group from five RCTs (622 patients, Figure 3). Bifidobacterium longum R0175 significantly reduced the HADS total score (MD, −0.34; 95% CI, −0.48 to −0.20; high certainty). Bifidobacterium longum NCC3001 significantly reduced the HADS-depression score (MD, −3.0; 95% CI, −4.92 to −1.08; high certainty) (Table 1). No significant improvement was found in the HADS-anxiety score among the included studies.

  1. 3.3.4. Abdominal Pain Score

The abdominal pain score was reported in 47 RCTs (4680 patients) that involved 16 single-strain probiotics and 14 multistrain groups (Figure 3). NMA indicated that Bacillus coagulans MTCC 5856 (SMD, −41.80; 95% CI, −61.59 to −22.00; Moderate certainty) and Bacillus coagulans Unique IS2 (SMD, −32.00; 95% CI, −45.35 to −18.65; Moderate certainty) were classified as efficacy level A (Table 2). Lactobacillus gasseri BNR17, Lactobacillus plantarum Apsulloc 331261, Lactobacillus acidophilus DDS-1, LPA + LS + LP, Saccharomyces cerevisiae CNCM I-3856, VSL#3, EF + LA + X, and LA + ST + X were significantly superior to the placebo in reducing abdominal pain score (Table 2). The top three treatments based on SUCRAs were Bacillus coagulans MTCC 5856 (96.9%), Bacillus coagulans Unique IS2 (92.6%), and Lactobacillus gasseri BNR17 (91.3%).

Table 2. Critical results of network meta-analysis for abdominal pain and bloating in patients with IBS.

Efficacy Level A 1 Efficacy Level B Efficacy Level C Outcome Probiotic NMA 2 GRADE Probiotic NMA GRADE Probiotic

−41.80 (−61.59, −22.00)

M L. gasseri BNR17 −36.10 (−64.53, −7.67)

B. coagulans MTCC 5856

M

BL + LR, L. acidophilus SDC 2012,2013, B. lactis UABla-12, BAL + LA + BB + X, LR + PF + X, LA + LR + ST + BL + BBR + X, B. bifidum MIMBb75, LP + LP + PA, LP + LC + BL + ST + LA + X, LA + LA, C. butyricum CGMCC0313.1, L. plantarum 299v, L. acidophilus ATCC 700396, L. casei LCR35, BAL + ST + LB, LPA + LA + BAL, BAL + LA + LR + X, S. boulardii CNCM I-475, B. infantis 35624, L. plantarum CCFM8610

−32.00 (−45.35, −18.65)

−26.59 (−47.07, −6.11)

B. coagulans Unique IS2

L. plantarum Apsulloc 331261

M

M

−19.53 ( 33.49, 5.57)

L. acidophilus DDS-1

M

Abdominal pain score

LPA + LS + LP −20.00

L

( 35.97, 4.03)

−15.24 (−24.62, −5.87)

S. cerevisiae CNCM I-3856

M

VSL#3 −12.93 (−25.59, −0.26)

L

EF + LA + X −11.37 (−21.68, −1.06)

M

LA + ST + X −8.14 (−15.54, −0.75)

M

BL + LR −34.00 (−56.94, −11.06)

M

B. coagulans MTCC 5856, L. plantarum Apsulloc 331261, L. acidophilus DDS-1, LR + PF + X, LA + ST + X, B. coagulans Unique IS2, S. cerevisiae CNCM I-3856, BAL + LA + BB + X, B. lactis UABla-12, LP + LC + BL + ST + LA + X, EF + LA + X, LA + LR + ST + BL + BBR + X, L. acidophilus ATCC 700396, BAL + LA + LR + X, S. boulardii CNCM I-475, C. butyricum CGMCC0313.1, BAL + ST + LB, B. infantis 35624, LPA + LA + BAL

−19.92 (−34.91, −4.94)

L. plantarum CCFM8610

M

Abdominal bloating score

None

L. plantarum 299v −14.79

M

( 29.11, 0.48)

VSL#3 −13.71 (−22.12, −5.30)

L

−11.83 (−22.93, −0.74)

B. bifidum MIMBb75

M

1 Efficacy level A (among the most effective): probiotics that are significantly superior to placebo and at least 1 probiotic in level B. Efficacy level B: probiotics that are more effective than placebo, but not superior to any other of the probiotic(s) superior to placebo. Efficacy level C (among the least effective): probiotics with no significant difference compared to placebo. 2 The network meta-analysis results were the efficacy of probiotics compared to placebo. Mean difference with 95% confidence intervals in parentheses. Abbreviations: GRADE, The Grading of Recommendations, Assessment, Development and Evaluation system; H, high; M, moderate; L, low.

  1. 3.3.5. Abdominal Bloating Score
  2. 3.3.6. Bowel Movement Frequency (Per Week) in the IBS-D and IBS-C Groups

The IBS-D evidence network was constructed using eight single-strain probiotics and two multistrain groups from 10 RCTs (877 patients, Figure 3). The NMA indicated that EF + LA + X (MD, −3.95; 95% CI, −5.02 to −2.88; Moderate certainty) were classed as efficacy level A (Table 3). Lactobacillus paracasei B21060, Lactobacillus paracasei HA-196, Bacillus coagulans GBI-306086, and Bifidobacterium longum R0175 significantly reduced bowel movement frequency in patients with IBS-D compared to placebo (Efficacy level B, Table 3). The top three treatments based on SUCRAs were EF + LA + X (89.7%), Lactobacillus paracasei B21060 (89.2%), and Lactobacillus paracasei HA-196 (78.7%).

Table 3. Critical results of network meta-analysis for bowel movement frequency and Bristol stool form scale in patients with IBS.

Efficacy Level A 1 Efficacy Level B Efficacy Level C Outcome Probiotic

Network Meta-Analysis

Network Meta-Analysis

GRADE Probiotic

GRADE Probiotic

2

EF + LA + X −3.95

−5.11 ( 9.98, −0.24)

L. paracasei B21060

M

H L. paracasei HA-196

( 5.02, 2.88)

L. plantarum Apsulloc 331261, LP + LC + BL + ST + LA + X, C. butyricum CGMCC0313.1, S. cerevisiae CNCM I-3856, S. boulardii CNCM I-475

Bowel movement frequency (IBS-D)

−3.13 ( 4.63, −1.62)

H

−2.11 (−3.00, −1.23)

B. coagulans GBI-306086

M

−1.95 (−3.45, −0.45)

B. longum R0175

H

B. bifidum MIMBb75, LA + ST + X, S. cerevisiae CNCM I-3856, L. paracasei HA-196, B. coagulans Unique IS2, B. longum R0175, BAL + ST + LB

Bowel movement frequency (IBS-C)

None None

−3.28 (−5.21, −1.34)

L BL + LR −0.80 (−1.57, −0.03)

B. coagulans MTCC 5856

L. paracasei HA-196, B. bifidum MIMBb75, VSL#3, C. butyricum CGMCC0313.1, B. longum R0175, LP + LC + BL + ST + LA + X, S.

L LA + LR + ST + BL + BBR + X

Bristol stool form scale

−0.70 (−1.32, −0.08)

M

−1.24 ( 1.63, 0.86)

(IBS-D) S. cerevisiae CNCM I-3856

L LP + LP + PA −0.50 (−0.76, −0.24)

L

boulardii CNCM I-475 Bristol stool form scale (IBS-C)

L. paracasei HA-196, S. cerevisiae CNCM I-3856, B. longum R0175, BAL + ST + LB

None None

1 Efficacy level A (among the most effective): probiotics that are significantly superior to placebo and at least 1 probiotic in level B. Efficacy level B: probiotics that are more effective than placebo, but not superior to any other of the probiotic(s) superior to placebo. Efficacy level C (among the least effective): probiotics with no significant difference compared to placebo. 2 The network meta-analysis results were the efficacy of probiotics compared to placebo. Mean difference with 95% confidence intervals in parentheses. Abbreviations: IBS-D, IBS with predominant diarrhea; IBS-C, IBS with predominant constipation; GRADE, The Grading of Recommendations, Assessment, Development and Evaluation system; H, high; M, moderate; L, low.

The IBS-C evidence network was constructed using five single-strain probiotics and two multistrain groups from eight RCTs (585 patients, Figure 3). However, no significant difference was found between the pooled probiotic and placebo groups (Table 3).

  1. 3.3.7. Bristol Stool form Scale in IBS-D and IBS-C
  2. 3.4. Adverse Events
  3. 3.5. Heterogeneity and Inconsistency
  4. 3.6. Quality of Evidence
  5. 3.7. Alteration of Gut Microbiota

The alterations of bacterial abundance and diversity in the probiotic group are presented in Tables S8 and S9. Six studies calculated the gut microbiota diversity before and after the intervention. In five studies, the differences between probiotics and placebo in modulating alpha diversity were reported as not being significant. Regarding beta diversity, three studies revealed significant differences between the two groups.

4. Discussion

  1. 4.1. Key Findings

In this systematic review and network meta-analysis, we compared and ranked the efficacy of different probiotic strains or mixtures based on symptom-specific outcomes. We found that only some probiotic strains and combinations were more effective than the placebo for each specific outcome of IBS. This NMA provides an initial indication of promising probiotic strains or mixtures that can be used in the treatment of IBS patients.

For the global condition and mental health stage of IBS, moderate-certainty evidence indicates that Lactobacillus acidophilus DDS-1, BL + LR, LC + LP + BAL, LP + LC + BL + ST + LA + X, and Bifidobacterium animalis subsp. lactis UABla-12 are among the most

effective probiotics for improving IBS-SSS. The mixture (LP + LC + BL + ST + LA + X) was the most effective probiotic for improving IBS-QOL (moderate certainty). Highcertainty evidence indicates that Bifidobacterium longum R0175 and Bifidobacterium longum NCC3001 are the most effective probiotics for improving HADS-total and HADS-depression scores, respectively.

In terms of the core and specific gastrointestinal symptoms of IBS, moderate-certainty evidence indicates that Bacillus coagulans MTCC 5856 and Bacillus coagulans Unique IS2 are among the most effective probiotics for improving abdominal pain. BL + LR, Lactobacillus plantarum CCFM8610, Lactobacillus plantarum 299v, VSL#3, Bifidobacterium bifidum MIMBb75 were significantly superior to placebo in alleviating abdominal bloating. EF + LA + X was most effective in reducing bowel movement frequency in patients with IBS-D (moderate certainty). Bacillus coagulans MTCC 5856 and Saccharomyces cerevisiae CNCM I-3856 were among the most effective probiotics for improving the Bristol stool form scale in IBS-D. No significant difference was found among the pooled probiotics and placebo regarding bowel movement frequency and Bristol stool form scale in the IBS-C group.

  1. 4.2. Associations with Current Studies

The three current guidelines (BSG, ACG, and The American Gastroenterological Association) still have reservations about the use of probiotics in IBS due to the concern of between-study heterogeneity [12,18,19]. The main challenges in interpreting the existing evidence regarding probiotics in IBS treatments were the numerous strains and combinations of probiotics, different doses, the lack of standard outcomes, and the inconsistency of results [18]. In terms of probiotic taxonomy, the ideal NMA of probiotics in IBS treatment should be analyzed based on the strain level [19,117]. McFarland et al. conducted the first meta-analysis to evaluate the strain- and outcome-specific efficacy of probiotics for IBS [118]. This study included only 14 probiotic formulas because the inclusion criteria required at least two trials within each type of probiotic. The comparative efficacy of different probiotics was also lacking in McFarland’s work owing to the limitations of a traditional pairwise meta-analysis. Although some probiotics were confirmed by a single RCT, we advocate that clinical trials with large sample sizes and high quality should not be excluded from related meta-analyses. Additionally, the efficacy hierarchy is beneficial for probiotic selection in clinical practice. Given the numerous types of probiotics, NMA is ideal for comparing the efficacy.

A standard system for efficacy evaluation is needed in IBS clinical trials. The system should be composed of endpoints that can precisely reflect the change in the core signs and symptoms of IBS. In this NMA, we chose the abdominal pain score, bowel movement frequency (per week), and Bristol stool form scale to assess the most important symptoms of IBS in accordance with the diagnostic elements in ROME IV and the guidance of the US Food and Drug Administration [119,120]. The global condition of IBS was evaluated by the IBS-SSS and IBS-QOL. The IBS-SSS is widely used in IBS symptom severity assessment [121]. IBS-QOL is a valid scoring system for assessing the physical and mental condition of IBS patients [122]. The evaluation of psychological conditions is indispensable for IBS assessments. An increasing number of psychological problems have been associated with worse gastrointestinal symptoms in IBS [123]. Hence, the HADS was also included in this NMA. The above seven outcomes present a panorama of efficacy evaluation in IBS treatment, including disease-defined core symptoms, global conditions, psychological conditions, and subtype-specific symptoms. The binary outcomes of IBS were not included in this NMA because related RCTs used various definitions of “improvement/response rate”, which incur potential heterogeneity.

ROME IV indicates that identifying the main and/or most troubling symptoms is the first step in the treatment of patients with IBS [119]. This was reflected in the different pharmacological treatments of the guidelines, such as antispasmodics, guanylate cyclase-C agonists, and antidepressants [12,124,125]. These drugs have definite pharmacological effects targeting particular IBS symptoms. However, the effects of probiotics on specific

symptoms of IBS are still unclear. Ford et al. conducted a comprehensive and rigorous meta-analysis to evaluate the efficacy of probiotics in IBS patients. The results indicated that combinations of probiotics were associated with significant improvements in IBS symptom and flatulence scores as well as a trend of decreasing bloating scores. However, these benefits were not observed when specific combinations or strains were analyzed. The results supported the use of combinations of probiotics as a group [20]. In other words, the use of probiotic combinations may be beneficial from the perspective of the entire IBS population. On the other hand, identifying the comparative efficacy of specific probiotics was also significant for individual patients. Zhang et al. performed a large NMA that calculated the relative ranking of 12 different probiotics on 7 outcomes. The results showed that, based on SUCRA analysis, Bacillus coagulans was ranked first in improving the symptom relief rate, global symptoms, abdominal pain, bloating, and straining [126]. Our NMA yielded results similar to those of the above two studies. Lactobacillus acidophilus DDS-1, Bifidobacterium animalis subsp. lactis UABla-12, and the three probiotic mixtures may improve the global condition of IBS. The two strains of Bacillus coagulans may improve the abdominal pain score of patients with IBS. We used a novel and succinct approach to classify efficacy. Seven probiotic strains and five mixtures were evaluated as level A (among the most effective) for different outcomes. A list of probiotics that may be effective for each outcome is also provided. Different probiotics should be selected according to the specific symptoms of IBS patients.

  1. 4.3. Study Merits and Limitations

A plethora of meta-analyses have been published on this topic, but our NMA has several merits. To our knowledge, this study is the first NMA to compare the outcomespecific and strain-level efficacies of different probiotics in IBS. To date, it is the most comprehensive systematic review of the probiotic efficacy in IBS. We included 81 RCTs and 9253 patients, which was attributed to a rigorous literature search and the inclusion of probiotic combinations. This NMA used seven outcomes to conduct full-scale evaluations of probiotics in IBS treatments, including disease-defined core symptoms, global conditions, psychological conditions, and subtype-specific symptoms.

Our study had several limitations. First, there was an inherent heterogeneity among the included RCTs. The study regions, diagnostic criteria, treatment durations, and probiotic doses varied in the pooled studies, undermining the reliability of the results. The classification of probiotic combinations was partly based on the strain level, which resulted in inherent heterogeneity. A more rational classification of probiotic combinations in NMA with less heterogeneity will enhance the quality of evidence in this field. In future studies, the above factors should be considered in NMA, which will help evaluate the efficacy of probiotics in the treatment of IBS. Second, the robustness and complexity of the evidence network are unsatisfactory. The comparative efficacy and ranking of some probiotics, especially single-strain products, are often based on single studies. The scarcity of RCTs has a negative impact on the certainty of the NMA results. On the other hand, the evidence network of the outcomes was “star-shaped”. Most probiotics have been directly compared with placebo. Only three three-arm RCTs provided direct comparisons between different probiotics. This prevents the use of NMA for evaluating the efficacy of different probiotics by combining direct and indirect comparisons. Third, the evaluation of long-term efficacy was not available because few studies reported long-term results with more than one year of follow-up.

The results of this study only reflect the relative efficacy of probiotics assessed by meta-analyses based on the available studies. Further studies are required to confirm the efficacy of probiotics in the real world. A standard evaluation system of efficacy, safety, and gut microbiota alteration is needed in future clinical trials of IBS. Multicenter RCTs are necessary to evaluate the efficacy of strain-specific probiotics in IBS treatment.

5. Conclusions

In conclusion, this NMA provides the first efficacy ranking of different probiotic strains and combinations for specific IBS outcomes. Lactobacillus acidophilus DDS-1, Bifidobacterium animalis subsp. Lactis UABla-12, Bifidobacterium longum R0175, Bifidobacterium longum NCC3001, Bacillus coagulans MTCC 5856, Bacillus coagulans Unique IS2, Saccharomyces cerevisiae CNCM I-3856, and four mixtures may be the most promising probiotics. Probiotics should be selected according to the specific symptoms of IBS patients. Due to the inherent heterogeneity, this evidence should be interpreted with caution. Further studies are needed to confirm these results.

Supplementary Materials: The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/nu15173856/s1. Text S1. Supplements and alterations of the original protocol; Text S2. Search strategy; Text S3. Data collection process; Text S4. References to RCTs included in this network meta-analysis; Figure S1. The distribution of effect modifiers; Figure S2. Risk of bias 2 evaluations for each outcome; Figure S3. Network plots; Figure S4. Cumulative ranking curves for each outcome; Figure S5. Predictive interval plots for each pair of interventions; Figure S6. Funnel plots for each outcome; Table S1. Characteristics of included randomized controlled trials (1); Table S2. Characteristics of included randomized controlled trials (2); Table S3. Critical results of pairwise meta-analysis; Table S4. League table demonstrating the relative efficacy for each pair of comparison in the NMA; Table S5. The surface under the cumulative ranking curve (SUCRA) values; Table S6. Results of loop specific analysis, node-splitting method, and design-by-treatment interaction inconsistency model; Table S7. GRADE-based assessment of the quality of evidence for each outcome; Table S8. Alterations of gut microbiota abundance; Table S9. The alteration of gut microbiota diversity before and after intervention.

Author Contributions: Conceptualization, P.X. and L.X.; methodology, P.X.; software, P.X.; validation, P.X., M.L., X.D., J.F. and L.X.; formal analysis, P.X. and M.L.; investigation, P.X., M.L., X.D. and J.F.; resources, L.X.; data curation, P.X.; writing—original draft preparation, P.X.; writing—review and editing, P.X., M.L., X.D., J.F. and L.X.; visualization, P.X.; supervision, L.X.; project administration, L.X.; funding acquisition, L.X. All authors have read and agreed to the published version of the manuscript.

Funding: This research was funded by the National Natural Science Foundation of China, grant number 81970471.

Institutional Review Board Statement: Not applicable. Informed Consent Statement: Not applicable. Data Availability Statement: Not applicable. Acknowledgments: We are grateful to the library staff at Sun Yat-Sen University for their advice on the literature search strategy. Conflicts of Interest: The authors declare no conflict of interest.

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Figures

Figure 1

Study identification and selection processes for the network meta-analysis on probiotic efficacy in IBS are presented, following systematic review methodology.

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Figure 2

Risk of bias assessment across included randomized controlled trials evaluating probiotic interventions for irritable bowel syndrome is summarized.

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Figure 3

Network geometry connecting different probiotic strains and strain combinations compared in IBS clinical trials is visualized, showing direct and indirect evidence links.

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Figure 4

Comparative efficacy rankings of probiotic strains for IBS symptom improvement are displayed using surface under the cumulative ranking curve (SUCRA) values.

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Figure 5

Publication timeline and editorial metadata for the systematic review on probiotic strains in irritable bowel syndrome are noted.

Figure 6

Forest plot or network ranking data for global IBS symptoms across different probiotic strains and mixtures in IBS patients are presented, comparing effect sizes from randomized controlled trials.

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Figure 7

Forest plot or network ranking data for abdominal pain across different probiotic strains and mixtures in IBS patients are presented, comparing effect sizes from randomized controlled trials.

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Figure 8

Forest plot or network ranking data for bloating severity across different probiotic strains and mixtures in IBS patients are presented, comparing effect sizes from randomized controlled trials.

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Figure 9

Forest plot or network ranking data for quality of life measures across different probiotic strains and mixtures in IBS patients are presented, comparing effect sizes from randomized controlled trials.

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Figure 10

Forest plot or network ranking data for stool consistency across different probiotic strains and mixtures in IBS patients are presented, comparing effect sizes from randomized controlled trials.

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Figure 11

Forest plot or network ranking data for symptom severity scoring across different probiotic strains and mixtures in IBS patients are presented, comparing effect sizes from randomized controlled trials.

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Figure 12

Forest plot or network ranking data for flatulence across different probiotic strains and mixtures in IBS patients are presented, comparing effect sizes from randomized controlled trials.

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Figure 13

Forest plot or network ranking data for bowel habit satisfaction across different probiotic strains and mixtures in IBS patients are presented, comparing effect sizes from randomized controlled trials.

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Figure 14

Forest plot or network ranking data for urgency across different probiotic strains and mixtures in IBS patients are presented, comparing effect sizes from randomized controlled trials.

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Figure 15

Forest plot or network ranking data for straining across different probiotic strains and mixtures in IBS patients are presented, comparing effect sizes from randomized controlled trials.

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Figure 16

Forest plot or network ranking data for incomplete evacuation across different probiotic strains and mixtures in IBS patients are presented, comparing effect sizes from randomized controlled trials.

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Figure 17

A PRISMA-style flow chart illustrates the literature search and screening procedures used to identify eligible studies for the network meta-analysis on probiotics in IBS.

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Figure 18

Outcome-specific network meta-analysis results for probiotic interventions in IBS are presented, comparing strain-level efficacy across multiple clinical endpoints.

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Figure 19

Outcome-specific network meta-analysis results for probiotic interventions in IBS are presented, comparing strain-level efficacy across multiple clinical endpoints.

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Figure 20

Outcome-specific network meta-analysis results for probiotic interventions in IBS are presented, comparing strain-level efficacy across multiple clinical endpoints.

forest_plot

Figure 21

Outcome-specific network meta-analysis results for probiotic interventions in IBS are presented, comparing strain-level efficacy across multiple clinical endpoints.

forest_plot

Figure 22

Outcome-specific network meta-analysis results for probiotic interventions in IBS are presented, comparing strain-level efficacy across multiple clinical endpoints.

forest_plot

Figure 23

Outcome-specific network meta-analysis results for probiotic interventions in IBS are presented, comparing strain-level efficacy across multiple clinical endpoints.

forest_plot

Figure 24

Outcome-specific network meta-analysis results for probiotic interventions in IBS are presented, comparing strain-level efficacy across multiple clinical endpoints.

forest_plot

Figure 25

Outcome-specific network meta-analysis results for probiotic interventions in IBS are presented, comparing strain-level efficacy across multiple clinical endpoints.

forest_plot

Figure 26

Outcome-specific network meta-analysis results for probiotic interventions in IBS are presented, comparing strain-level efficacy across multiple clinical endpoints.

forest_plot

Figure 27

Outcome-specific network meta-analysis results for probiotic interventions in IBS are presented, comparing strain-level efficacy across multiple clinical endpoints.

forest_plot

Figure 28

Outcome-specific network meta-analysis results for probiotic interventions in IBS are presented, comparing strain-level efficacy across multiple clinical endpoints.

forest_plot

Figure 29

Outcome-specific network meta-analysis results for probiotic interventions in IBS are presented, comparing strain-level efficacy across multiple clinical endpoints.

forest_plot

Figure 30

Outcome-specific network meta-analysis results for probiotic interventions in IBS are presented, comparing strain-level efficacy across multiple clinical endpoints.

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Figure 31

Supplementary network meta-analysis data showing pairwise comparisons between probiotic strains for IBS symptom outcomes are displayed.

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Figure 32

Supplementary network meta-analysis data showing pairwise comparisons between probiotic strains for IBS symptom outcomes are displayed.

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Figure 33

Supplementary network meta-analysis data showing pairwise comparisons between probiotic strains for IBS symptom outcomes are displayed.

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Figure 34

Supplementary network meta-analysis data showing pairwise comparisons between probiotic strains for IBS symptom outcomes are displayed.

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Figure 35

Supplementary network meta-analysis data showing pairwise comparisons between probiotic strains for IBS symptom outcomes are displayed.

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Figure 36

Supplementary network meta-analysis data showing pairwise comparisons between probiotic strains for IBS symptom outcomes are displayed.

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Figure 37

Supplementary network meta-analysis data showing pairwise comparisons between probiotic strains for IBS symptom outcomes are displayed.

forest_plot

Figure 38

Supplementary network meta-analysis data showing pairwise comparisons between probiotic strains for IBS symptom outcomes are displayed.

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Figure 39

Supplementary network meta-analysis data showing pairwise comparisons between probiotic strains for IBS symptom outcomes are displayed.

forest_plot

Figure 40

Supplementary network meta-analysis data showing pairwise comparisons between probiotic strains for IBS symptom outcomes are displayed.

forest_plot

Figure 41

Supplementary network meta-analysis data showing pairwise comparisons between probiotic strains for IBS symptom outcomes are displayed.

forest_plot

Figure 42

Supplementary network meta-analysis data showing pairwise comparisons between probiotic strains for IBS symptom outcomes are displayed.

forest_plot

Figure 43

Supplementary network meta-analysis data showing pairwise comparisons between probiotic strains for IBS symptom outcomes are displayed.

forest_plot

Figure 44

Supplementary network meta-analysis data showing pairwise comparisons between probiotic strains for IBS symptom outcomes are displayed.

forest_plot

Figure 45

Supplementary network meta-analysis data showing pairwise comparisons between probiotic strains for IBS symptom outcomes are displayed.

forest_plot

Figure 46

Supplementary network meta-analysis data showing pairwise comparisons between probiotic strains for IBS symptom outcomes are displayed.

forest_plot

Figure 47

Supplementary network meta-analysis data showing pairwise comparisons between probiotic strains for IBS symptom outcomes are displayed.

forest_plot

Figure 48

Supplementary network meta-analysis data showing pairwise comparisons between probiotic strains for IBS symptom outcomes are displayed.

forest_plot

Figure 49

Supplementary network meta-analysis data showing pairwise comparisons between probiotic strains for IBS symptom outcomes are displayed.

forest_plot

Figure 50

Supplementary network meta-analysis data showing pairwise comparisons between probiotic strains for IBS symptom outcomes are displayed.

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Figure 51

Sensitivity or subgroup analysis results from the network meta-analysis on probiotics in IBS are shown, testing robustness of efficacy rankings.

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Figure 52

Sensitivity or subgroup analysis results from the network meta-analysis on probiotics in IBS are shown, testing robustness of efficacy rankings.

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Figure 53

Sensitivity or subgroup analysis results from the network meta-analysis on probiotics in IBS are shown, testing robustness of efficacy rankings.

chart

Figure 54

Sensitivity or subgroup analysis results from the network meta-analysis on probiotics in IBS are shown, testing robustness of efficacy rankings.

chart

Figure 55

Sensitivity or subgroup analysis results from the network meta-analysis on probiotics in IBS are shown, testing robustness of efficacy rankings.

chart

Figure 56

Sensitivity or subgroup analysis results from the network meta-analysis on probiotics in IBS are shown, testing robustness of efficacy rankings.

chart

Figure 57

Sensitivity or subgroup analysis results from the network meta-analysis on probiotics in IBS are shown, testing robustness of efficacy rankings.

chart

Figure 58

Sensitivity or subgroup analysis results from the network meta-analysis on probiotics in IBS are shown, testing robustness of efficacy rankings.

chart

Figure 59

Sensitivity or subgroup analysis results from the network meta-analysis on probiotics in IBS are shown, testing robustness of efficacy rankings.

chart

Figure 60

Sensitivity or subgroup analysis results from the network meta-analysis on probiotics in IBS are shown, testing robustness of efficacy rankings.

chart

Figure 61

Sensitivity or subgroup analysis results from the network meta-analysis on probiotics in IBS are shown, testing robustness of efficacy rankings.

chart

Figure 62

Sensitivity or subgroup analysis results from the network meta-analysis on probiotics in IBS are shown, testing robustness of efficacy rankings.

chart

Figure 63

Sensitivity or subgroup analysis results from the network meta-analysis on probiotics in IBS are shown, testing robustness of efficacy rankings.

chart

Figure 64

Sensitivity or subgroup analysis results from the network meta-analysis on probiotics in IBS are shown, testing robustness of efficacy rankings.

chart

Figure 65

Sensitivity or subgroup analysis results from the network meta-analysis on probiotics in IBS are shown, testing robustness of efficacy rankings.

chart

Figure 66

Sensitivity or subgroup analysis results from the network meta-analysis on probiotics in IBS are shown, testing robustness of efficacy rankings.

chart

Figure 67

Sensitivity or subgroup analysis results from the network meta-analysis on probiotics in IBS are shown, testing robustness of efficacy rankings.

chart

Figure 68

Sensitivity or subgroup analysis results from the network meta-analysis on probiotics in IBS are shown, testing robustness of efficacy rankings.

chart

Figure 69

Sensitivity or subgroup analysis results from the network meta-analysis on probiotics in IBS are shown, testing robustness of efficacy rankings.

chart

Figure 70

Sensitivity or subgroup analysis results from the network meta-analysis on probiotics in IBS are shown, testing robustness of efficacy rankings.

chart

Figure 71

Additional comparative analyses from the probiotic IBS network meta-analysis are presented, including consistency checks and transitivity assumptions.

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Figure 72

Additional comparative analyses from the probiotic IBS network meta-analysis are presented, including consistency checks and transitivity assumptions.

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Figure 73

Additional comparative analyses from the probiotic IBS network meta-analysis are presented, including consistency checks and transitivity assumptions.

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Figure 74

Additional comparative analyses from the probiotic IBS network meta-analysis are presented, including consistency checks and transitivity assumptions.

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Figure 75

Additional comparative analyses from the probiotic IBS network meta-analysis are presented, including consistency checks and transitivity assumptions.

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Figure 76

Additional comparative analyses from the probiotic IBS network meta-analysis are presented, including consistency checks and transitivity assumptions.

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Figure 77

Additional comparative analyses from the probiotic IBS network meta-analysis are presented, including consistency checks and transitivity assumptions.

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Figure 78

Additional comparative analyses from the probiotic IBS network meta-analysis are presented, including consistency checks and transitivity assumptions.

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Figure 79

Additional comparative analyses from the probiotic IBS network meta-analysis are presented, including consistency checks and transitivity assumptions.

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Figure 80

Additional comparative analyses from the probiotic IBS network meta-analysis are presented, including consistency checks and transitivity assumptions.

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Figure 81

Additional comparative analyses from the probiotic IBS network meta-analysis are presented, including consistency checks and transitivity assumptions.

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Figure 82

Additional comparative analyses from the probiotic IBS network meta-analysis are presented, including consistency checks and transitivity assumptions.

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Figure 83

Additional comparative analyses from the probiotic IBS network meta-analysis are presented, including consistency checks and transitivity assumptions.

chart

Figure 84

Additional comparative analyses from the probiotic IBS network meta-analysis are presented, including consistency checks and transitivity assumptions.

chart

Figure 85

Additional comparative analyses from the probiotic IBS network meta-analysis are presented, including consistency checks and transitivity assumptions.

chart

Figure 86

Additional comparative analyses from the probiotic IBS network meta-analysis are presented, including consistency checks and transitivity assumptions.

chart

Figure 87

Additional comparative analyses from the probiotic IBS network meta-analysis are presented, including consistency checks and transitivity assumptions.

chart

Figure 88

Additional comparative analyses from the probiotic IBS network meta-analysis are presented, including consistency checks and transitivity assumptions.

chart

Figure 89

Additional comparative analyses from the probiotic IBS network meta-analysis are presented, including consistency checks and transitivity assumptions.

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Figure 90

Additional comparative analyses from the probiotic IBS network meta-analysis are presented, including consistency checks and transitivity assumptions.

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Figure 91

Extended supplementary data from the network meta-analysis evaluating probiotic strain efficacy in irritable bowel syndrome are provided.

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Figure 92

Extended supplementary data from the network meta-analysis evaluating probiotic strain efficacy in irritable bowel syndrome are provided.

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Figure 93

Extended supplementary data from the network meta-analysis evaluating probiotic strain efficacy in irritable bowel syndrome are provided.

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Figure 94

Extended supplementary data from the network meta-analysis evaluating probiotic strain efficacy in irritable bowel syndrome are provided.

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Figure 95

Extended supplementary data from the network meta-analysis evaluating probiotic strain efficacy in irritable bowel syndrome are provided.

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Figure 96

Extended supplementary data from the network meta-analysis evaluating probiotic strain efficacy in irritable bowel syndrome are provided.

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Figure 97

Extended supplementary data from the network meta-analysis evaluating probiotic strain efficacy in irritable bowel syndrome are provided.

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Figure 98

Extended supplementary data from the network meta-analysis evaluating probiotic strain efficacy in irritable bowel syndrome are provided.

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Figure 99

Extended supplementary data from the network meta-analysis evaluating probiotic strain efficacy in irritable bowel syndrome are provided.

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Figure 100

Extended supplementary data from the network meta-analysis evaluating probiotic strain efficacy in irritable bowel syndrome are provided.

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Figure 101

Extended supplementary data from the network meta-analysis evaluating probiotic strain efficacy in irritable bowel syndrome are provided.

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Figure 102

Extended supplementary data from the network meta-analysis evaluating probiotic strain efficacy in irritable bowel syndrome are provided.

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Figure 103

Extended supplementary data from the network meta-analysis evaluating probiotic strain efficacy in irritable bowel syndrome are provided.

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Figure 104

Extended supplementary data from the network meta-analysis evaluating probiotic strain efficacy in irritable bowel syndrome are provided.

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Figure 105

Extended supplementary data from the network meta-analysis evaluating probiotic strain efficacy in irritable bowel syndrome are provided.

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Figure 106

Extended supplementary data from the network meta-analysis evaluating probiotic strain efficacy in irritable bowel syndrome are provided.

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Figure 107

Extended supplementary data from the network meta-analysis evaluating probiotic strain efficacy in irritable bowel syndrome are provided.

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Figure 108

Extended supplementary data from the network meta-analysis evaluating probiotic strain efficacy in irritable bowel syndrome are provided.

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Figure 109

Extended supplementary data from the network meta-analysis evaluating probiotic strain efficacy in irritable bowel syndrome are provided.

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Figure 110

Network geometry plots for multiple IBS outcomes are displayed, including the IBS Symptom Severity Scale, quality of life, anxiety and depression scores, and abdominal pain, showing the connectivity of probiotic interventions across trials.

diagram

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