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Article

Which Probiotic Is the Most Effective for Treating Acute Diarrhea in Children? A Bayesian Network Meta-Analysis of Randomized Controlled Trials

by
Zengbin Li
1,
Guixian Zhu
1,
Chao Li
2,
Hao Lai
1,
Xin Liu
2 and
Lei Zhang
1,3,4,5,*
1
China-Australia Joint Research Center for Infectious Diseases, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an 710061, China
2
Department of Epidemiology and Biostatistics, School of Public Health, Global Health Institute, Xi’an Jiaotong University Health Science Center, Xi’an 710061, China
3
Melbourne Sexual Health Centre, Alfred Health, Melbourne, VIC 3053, Australia
4
Central Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC 3800, Australia
5
Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
*
Author to whom correspondence should be addressed.
Nutrients 2021, 13(12), 4319; https://doi.org/10.3390/nu13124319
Submission received: 4 October 2021 / Revised: 22 November 2021 / Accepted: 25 November 2021 / Published: 29 November 2021
(This article belongs to the Special Issue Nutritional Management of Gastrointestinal Dysfunction in Children)
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Abstract

:
Acute diarrhea is a major cause of morbidity and mortality in children under five. Probiotics are beneficial for treating acute diarrhea in children, but unclear which specific probiotic is the most effective. We performed a Bayesian network meta-analysis to examine the comparative effectiveness of probiotics. By searching EMBASE, PubMed, and the Cochrane Library up to 31 March 2021, randomized clinical trials (RCTs) on probiotics for treating acute diarrhea in children were included. Primary outcomes included the duration of diarrhea and diarrhea lasting ≥2 days, and secondary outcomes included the mean stool frequency on day 2 and duration of hospitalization, fever, and vomiting. We assessed the certainty of the evidence of outcomes according to Grading of Recommendations Assessment, Development, and Evaluation (GRADE) guideline. Eighty-four studies with twenty-one different interventions in 13,443 children were included. For the primary outcomes, moderate evidence indicated that, Lactobacillus reuteri [mean difference (MD) = −0.84 day; 95% confidence interval (CI), −1.39, −0.29], Bifidobacterium lactis (MD = −0.98 day; 95%CI, −1.82, −0.14), Saccharomyces boulardii (MD = −1.25 day; 95%CI, −1.59, −0.91), Lactobacillus species (spp.) plus Bifidobacterium spp. plus Saccharomyces spp. (MD = −1.19 day; 95%CI, −1.81, −0.58), and Bacillus spp. plus Enterococcus spp. plus Clostridium spp. (MD = −1.1 day; 95%CI, −1.84, −0.35) significantly reduced the duration of diarrhea when compared with placebo. Saccharomyces boulardii [Odds ratio (OR) = 0.22; 95%CI, 0.11, 0.41] and Lactobacillus reuteri (OR = 0.23; 95%CI, 0.090, 0.60) significantly reduced the risk of diarrhea lasting ≥2 days when compared with placebo or no treatment, with moderate evidence. Among all probiotics, Saccharomyces boulardii may be the most effective in reducing both duration of diarrhea (compared with placebo) and risk of diarrhea lasting ≥2 days (compared with placebo or no treatment), with moderate evidence. To be conclusive, Saccharomyces boulardii may be the most effective probiotic for treating acute diarrhea in children, followed by several other single-strain and multi-strain probiotics.

1. Introduction

Diarrhea is common among infants, usually acute, which is mainly caused by infection [1]. In 2017, diarrhea accounted for 533,768 deaths among children under five, mainly in developing countries [2]. World Health Organization defines diarrhea as three or more loose or watery stools within 24 h, and diarrhea is classified as acute if the duration of diarrhea is less than 14 days [3]. Diarrhea could result in dehydration and electrolyte disturbances in children. Significant consequences related to diarrhea in children include growth stunting, malnutrition, and impaired cognitive development [4].
Intestinal microbiota, which is closely associated with human health, has been a research hotspot. The derangement of intestinal microflora is the hallmark of diarrhea [5]. Probiotics are live microorganisms and have been proved to be beneficial for treating diarrhea [6,7]. Probiotics show antidiarrheal activity via several mechanisms, including promoting intestinal microflora balance, enhancing host immunity, and enhancing the gut barrier function [5,8,9,10,11].
Oral rehydration solution (ORS) is the mainstay treatment modality for diarrhea. However, it cannot halt the progression of diarrhea, nor address microflora imbalance, pathogen clearance, and environmental enteric dysfunction [11,12], all of them may be addressed by probiotics. Probiotics were recommended as adjuncts to effectively alleviate and treat diarrhea by clinical practice guidelines and numerous studies [7,13,14,15]. Traditional pairwise meta-analysis only focused on one probiotic and failed to find the most effective probiotic [6,16,17,18]. The most effective probiotic for children with acute diarrhea remains controversial. Besides, the effectiveness of multi-strain probiotics is yet to be evaluated. Superior to traditional pairwise meta-analysis, network meta-analysis could compare the effectiveness of different probiotics in treating acute diarrhea. We conducted a Bayesian network meta-analysis (NMA) of RCTs to assess the effectiveness of a broad spectrum of single-strain and multi-strain probiotics, determining the most effective probiotic in treating acute diarrhea for children.

2. Methods

The NMA was performed following the Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement [19,20]. We have registered the protocol on PROSPERO (registration number: CRD42021247282).

2.1. Search Strategy

By searching the Cochrane Library, PubMed, and EMBASE, randomized controlled trials of probiotics for treating acute diarrhea in children were included. We limited our search to English. The search date for these databases ended on 31 March 2021. The search terms included: diarrhea, probiotic, children, and randomized controlled trial (Supplementary Material Table S1).

2.2. Study Selection and Data Extraction

Studies were included in this NMA if they met the following inclusion criteria: (1) RCT; (2) children (age ≤ 18 years) with acute diarrhea (the frequency of diarrhea was more than three times during a 24-h period and the duration of diarrhea was less than 14 days); (3) children were randomly assigned to receive probiotics, placebo, or no treatment; (4) the study must report at least one of the outcomes (duration of diarrhea, duration of hospitalization, number of patients with diarrhea lasting longer than two days, mean stool frequency on day 2, duration of fever, or duration of vomiting). We excluded the following articles: non–English papers, non-randomized trials, studies with malnourished children, studies without children, studies without probiotics, studies without acute diarrhea, case reports, reviews, meta-analysis studies, conference abstracts, animal studies, in vitro experiments, and letters.
Two investigators independently read the full texts of the included literature and extracted the data. Any disagreements were resolved by discussion. The extracted data included first author, publication, year, country, sample size, probiotic species, and outcomes of interest (duration of diarrhea, duration of hospitalization, number of patients with diarrhea lasting longer than two days, mean stool frequency on day 2, duration of fever, and duration of vomiting).

2.3. Quality Assessment

Two investigators independently used Review Manager 5.3 (Cochrane Collaboration) to evaluate the quality of the included studies according to the Cochrane risk of bias assessment tool [21]. In addition, we used the GRADE guideline to assess the certainty of the evidence for each outcome as high, moderate, low, or very low [22,23]. According to the GRADE approach, the certainty of the evidence of RCT was initially considered as high. However, it may be downgraded due to five factors (risk of bias, imprecision, inconsistency, indirectness, and publication bias).

2.4. Data Synthesis and Statistical Analysis

The NMA was performed with the “rjags” and “gemtc” packages in R software (version 4.0.1). Network plots were done by STATA (version 14.0). The NMA was conducted with a Bayesian hierarchical model framework [24]. It was applied with four chains of Markov chain Monte Carlo (MCMC) estimation using a random-effect model, running for 100,000 iterations [25]. OR, MD, and their 95% CIs were calculated for the outcomes. When the mean value and standard deviation were not reported, we estimated them based on median, quartile, range, and sample size [26,27,28]. Statistical significance was set at p-value < 0.05.
Heterogeneity assessment was performed using the I² index and χ² test. The probability ranking of intervention was achieved by calculating the surface under the cumulative probability ranking curve (SUCRA) [24]. The consistency between direct and indirect comparisons was assessed by a node-splitting method.

3. Results

3.1. Characteristics of Included Studies

A total of 3927 records were retrieved by searching EMBASE, PubMed, and the Cochrane Library. Five studies were found from references. Following the removal of duplicates, 528 potentially eligible articles were identified. Ultimately, eighty-four studies that met the inclusion criteria were included in the NMA. The flow of literature screening is detailed in Figure 1.
Eighty-four studies with twenty-one different interventions involving a total of 13,443 children were included [12,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110]. The characteristics and outcomes of included studies are summarized in Supplementary Material Table S2. The relevant literature was published from 1994 to 2020. Of the 84 included studies, 23 were studied in high-income economies, 34 were in lower-middle economies, and 25 were in upper-middle economies, and 2 were multicenter studies. Most of the children were under age five. Figure 2 represents the networks of comparisons for primary outcomes (duration of diarrhea and diarrhea lasting ≥2 days) and secondary outcomes (mean stool frequency on day 2 and duration of hospitalization, fever, and vomiting).
Probiotic interventions could be divided into single-strain and multi-strain probiotics. The single-strain probiotics included Saccharomyces (S.) boulardii, Lactobacillus rhamnosus GG (LGG), Lactobacillus (L.) reuteri, Bacillus clausii, L. acidophilus, Bifidobacterium (B.) lactis, L. sporogenes, L. plantarum, Escherichia coli nissle 1917 (ECN 1917), L. paracasei, and Enterococcus (E.) faecium. Multiple-strain probiotics included L. species (spp.), L. spp. + B. spp., L. spp. + B. spp.+ S. spp., L. spp. + S. spp., B. spp. + S. spp., Bacillus spp. + E. spp. + Clostridium (C.) spp., L. spp. + B. spp. + E. spp., L. spp. + B. spp. + Pediococcus spp., and L. spp. + S. spp. + C. spp. + Bacillus spp. In addition, the control arms included both placebo and no treatment.

3.2. Network Meta-Analysis Outcomes

There was no statistical difference or inconsistency for diarrhea lasting ≥2 days, mean stool frequency on day 2, and duration of hospitalization, vomiting, and fever (Supplementary Material Figures S5–S8). In addition, we ranked the interventions for each outcome by calculating the SUCRA (Supplementary Material Table S27). More details about the comparative effectiveness of different probiotics were reported in Supplementary Material Tables S11–S18.

3.2.1. Duration of Diarrhea

We included 73 studies with a total of 12315 children involving 21 interventions (Figure 2a). Compared with the placebo or no treatment, low evidence showed that B. lactis (MD = −2.13 days; 95%CI, −3.06, −1.22) had the highest probability of reducing the duration of diarrhea (Table 1 and Supplementary Material Table S27). However, the test suggested significant inconsistency and heterogeneity in the duration of diarrhea (p < 0.05, Supplementary Material Figure S3 and Table S3). Therefore, subgroup analysis was performed for the duration of diarrhea based on the control (placebo/no treatment).
Compared with placebo, moderate evidence indicated that S. boulardii (MD = −1.25 day; 95%CI, −1.59, −0.91), L. reuteri (MD = −0.84 day; 95%CI, −1.39, −0.29), B. lactis (MD = −0.98 day; 95%CI, −1.82, −0.14), L. spp. + B. spp. + S. spp. (MD = −1.19 day; 95%CI, −1.81 to −0.58), and Bacillus spp. + E. spp. + C. spp. (MD = −1.1 day; 95%CI, −1.84, −0.35) significantly reduced the duration of diarrhea. In addition, very low or low evidence showed that ECN 1917 (MD = −1.44 day; 95%CI, −2.16, −0.72), L. spp. + B. spp. (MD = −0.79 day; 95%CI, −1.22, −0.38), and L. spp. + Bacillus spp. + S. spp. + C. spp. (MD = −1.1 day; 95%CI, −2.03, −0.17) could decrease the duration of diarrhea when compared to placebo (Table 1). Additionally, compared with placebo, S. boulardii may be the most effective in reducing the duration of diarrhea with moderate evidence (Supplementary Material Table S27).
Compared with no treatment, low or very low evidence represented that the following probiotics could shorten the duration of diarrhea: S. boulardii (MD = −0.95 day; 95%CI, −1.33, −0.58), LGG (MD = −1.57 day; 95%CI, −2.13, −1.01), L. reuteri (MD = −0.98 day; 95%CI, −1.92, −0.04), B. lactis (MD = −3.17 days, 95%CI, −4.47, −1.87), L. spp. + B. spp. (MD = −0.97 day; 95%CI, −1.57, −0.37), L. spp. + B. spp. + S. spp. (MD = −1.26 day; 95%CI, −1.99, −0.51), and L. spp. + B. spp. + E. spp. (MD = −1.53 day; 95%CI, −2.85, −0.21) (Table 1). B. lactis had the highest probability of reducing the duration of diarrhea when compared with no treatment (Supplementary Material Table S27).

3.2.2. Diarrhea Lasting ≥2 Days

The number of children with diarrhea lasting more than two days was reported in 36 studies with 6536 children (Figure 2d). Compared with the controls, the risk of diarrhea lasting ≥2 days was reduced in patients receiving S. boulardii (OR = 0.22; 95%CI, 0.11, 0.41) and L. reuteri (OR = 0.23; 95%CI, 0.090, 0.60) with moderate evidence. Low evidence indicated that L. spp. + B. spp. (OR = 0.20; 95%CI, 0.052, 0.77) and L. spp. + B. spp. + S. spp. (OR = 0.35; 95%CI, 0.11, 1.0) contributed to the significant effect (Table 1). Comparing across the probiotics, S. boulardii may be the most effective in reducing the risk of diarrhea lasting ≥2 days with moderate evidence (Supplementary Material Table S27).

3.2.3. Duration of Hospitalization

A total of 28 RCTs with 4859 children involving 13 interventions were included (Figure 2e). Compared with the controls, S. boulardii (MD = −0.88 day; 95%CI, −1.58, −0.18) and LGG (MD = −1.21 day; 95%CI, −2.09, −0.33) significantly decreased the duration of hospitalization with low evidence (Table 1). In addition, LGG had the highest probability of reducing the duration of hospitalization (Supplementary Material Table S27).

3.2.4. Mean Stool Frequency on Day 2

The mean stool frequency on day 2 was presented in 32 studies with 6471 children involving 13 interventions (Figure 2f). Compared to the controls, moderate evidence indicated that S. boulardii (MD = −0.66; 95%CI, −1.1, −0.23), LGG (MD = −0.66; 95%CI, −1.2, −0.14), L. reuteri (MD = −1.5; 95%CI, −2.3, −0.61), L. spp. + B. spp. + S. spp. (MD = −0.77; 95%CI, −1.5, −0.014), and Bacillus spp. + E. spp. + C. spp. (MD = −1.6; 95%CI, −2.9, −0.44) could decrease the mean stool frequency on day 2. L. spp. + B. spp. (MD = −0.78; 95%CI, −1.6, −0.021; very low evidence) showed the significant effect (Table 1). In addition, Bacillus spp. + E. spp. + C. spp. may be the most effective in reducing the mean stool frequency on day 2 with moderate evidence (Supplementary Material Table S27).

3.2.5. Duration of Vomiting and Fever

We included 12 studies with a total of 2385 children involving 11 interventions (Figure 2g). Only Bacillus spp. + E. spp. + C. spp. (MD = −0.63 day; 95%CI, −1.15, −0.11; moderate evidence) could reduce the duration of vomiting when compared to the controls (Table 1).
The duration of fever was reported in 13 studies with 1411 children involving 12 interventions (Figure 2h). No treatment could shorten the duration of fever (Table 1).

3.3. Risk of Bias Assessment

We conducted a quality assessment of the included studies according to the Cochrane handbook 5.3. Among the 84 studies, random sequence generation was rated as “low risk” in 48 studies (57%); 40 studies (48%) were judged at “low risk” for allocation concealment; 39 (46%) were classified as “low risk” for blinding of children’s parents and personnel; 31 (37%) were classified as “low risk” for blinding of outcome assessment; 62 (74%) represented “low risk” for incomplete outcome data (Supplementary Material Figures S1 and S2).

4. Discussion

Diarrhea not only seriously endangers the long-term physical development health of children but also poses a substantial socioeconomic burden [4,111]. In the NMA, we included eighty-four randomized controlled trials with a total of 13,443 children involving twenty-one interventions to illustrate the clinical effect of probiotics for treating acute diarrhea. We found that certain single-strain and multi-strain probiotics effectively treated acute diarrhea. For single-strain probiotics, moderate evidence showed that L. reuteri and S. boulardii could reduce the duration of diarrhea, the risk of diarrhea lasting ≥2 days, and the mean stool frequency on day 2. Evidence with a low or very low certainty suggested that B. lactis, LGG, and ECN 1917 could shorten the duration of diarrhea. For multi-strain probiotics, L. spp. + B. spp. + S. spp. could decrease the duration of diarrhea and the mean stool frequency on day 2 with moderate evidence. Low evidence indicated that L. spp. + B. spp., Bacillus spp. + E. spp. + C. spp., L. spp. + B. spp. + E. spp., and L. spp. + Bacillus spp. + S. spp. + C. spp. could decrease the duration of diarrhea. Only Bacillus spp. + E. spp. + C. spp. could reduce the duration of vomiting with moderate evidence. Remarkably, for the primary outcomes, S. boulardii may be the most effective in reducing the duration of diarrhea (compared with placebo) and the risk of diarrhea lasting ≥2 days (compared with placebo or no treatment) with moderate evidence.
Our study demonstrated that probiotics could facilitate antidiarrheal effects on acute diarrhea in children, which was consistent with a previous report [7]. Previous pairwise meta-analysis only elucidated the effectiveness of single-strain probiotics [6,7,16,17,112], but multi-strain probiotics were not analyzed, nor did they assess the comparative effectiveness of different probiotics. The effectiveness of probiotics varied greatly, and which probiotic was the most effective for treating acute diarrhea remained controversial. Our NMA has some advantages. The NMA is comprehensive, including all common probiotics. Besides, we ranked the effectiveness of probiotic treatments by calculating the surface under the cumulative probability ranking curve (SUCRA, Supplementary Material Table S27) and evaluated the comparative effectiveness of probiotics (Supplementary Material Tables S11–S18). Notably, we used the GRADE methodology to assess the certainty of the evidence (Supplementary Material Tables S19–S26), which could provide a highly reliable reference for clinical practice.
For the duration of diarrhea, we identified significant heterogeneity and inconsistency in the two comparisons (S. boulardii vs LGG and S. boulardii vs B. lactis; Supplementary Material Figure S3 and Table S3). Therefore, for the two comparisons, we used the results of direct comparison instead of NMA. In addition, we performed a subgroup analysis based on the control (placebo/no treatment). Compared with placebo, S. boulardii (moderate evidence), L. reuteri (moderate evidence), B. lactis (low evidence), and ECN 1917 (very low evidence) could shorten the duration of diarrhea. Interestingly, LGG significantly reduced the duration of diarrhea compared with no treatment, but such the effect was not observed compared with placebo. It was consistent with the previous study by Szajewska et al. [16]. It may be because most of the valid trials of LGG were open-label, which resulted in exaggerating the effectiveness. Placebo-controlled trials provide more conservative effectiveness estimates with high credibility. Effectiveness evaluation of probiotics needs to be assessed based on the results of placebo-controlled trials. Results of LGG should be considered with caution, and further investigations are needed to validate its effectiveness.
In addition to reducing the duration of diarrhea, S. boulardii may also reduce the duration of hospitalization (low evidence), the risk of diarrhea lasting ≥2 days (moderate evidence), and the mean stool frequency on day 2 (moderate evidence). Therefore, we recommend S. boulardii as the best probiotic for the treatment of acute diarrhea in children. However, S. boulardii was present in some human stools but was not found in most children. It has been reported in cases of fungal sepsis [113]. More studies are needed to elaborate on the detailed mechanisms of S. boulardii’s antidiarrheal effect. Low evidence indicated that B. lactis ranked the first in reducing the duration of diarrhea when compared with placebo or no treatment. Several studies suggested that B. lactis could improve gut barrier function, enhance immunity against pathogens, and regulate intestinal flora, thereby facilitating overall health recovery [114,115]. However, compared with placebo, S. boulardii may be more effective than B. lactis in reducing the duration of diarrhea. Therefore, we recommend, but inferior to S. boulardii, that B. lactis treats acute diarrhea in children. More randomized controlled trials are required to verify the effectiveness of B. lactis.
In pediatrics, several studies have found that multi-strain probiotics were effective, even better than single-strain probiotics [14,116,117,118]. L. spp. + B. spp. + S. spp. possibly decreased the duration of diarrhea (moderate evidence), the risk of diarrhea lasting ≥2 days (low evidence), and the mean stool frequency on day 2 (moderate evidence). It suggested that the combination of Lactobacillus spp., Bifidobacterium spp., and Saccharomyces spp. produced a significant effect. Together with the above results of the NMA, we recommend a mixture of LGG, L. reuteri, B. lactis, and S. boulardii to treat acute diarrhea in children. Remarkably, the success of probiotic treatments may be reduced in well-nourished, rotavirus-vaccinated children, resulting in a signal-to-noise problem. Two large RCTs involving almost 1000 children reflected it [37,40].
Limitations to the NMA need to be acknowledged. First, several studies did not provide the mean and standard deviation. We performed the data estimation of them based on median, quartile, range, and sample size, so that the authenticity of some data was not high. Second, malnutrition and HIV-infected children were not included in the NMA. However, diarrhea contributed to a significant share of morbidity and mortality in these children in the sub–Sahara African region [1,2]. Third, the longer-term outcomes of diarrhea (growth stunting, malnutrition, and impaired cognitive development) were not evaluated because few studies provided them. Fourth, of the included studies, only one was conducted in sub-Saharan Africa where there was the greatest burden of diarrhea-associated mortality and stunting [1,2]. Fifth, most of the included studies were assessed as moderate or high risk using the Cochrane risk of bias assessment tool. We used the GRADE guideline to assess the certainty of the evidence. Results need to be carefully considered based on the level of evidence. Sixth, there was considerable heterogeneity of results in the direct comparison meta-analysis. Finally, we did not analyze different doses of probiotics because the data was unavailable in some studies. Various doses of probiotics may exert different effects.
In the NMA, we illustrated the clinical effect of single-strain and multi-strain probiotics and determined the comparative effectiveness of various probiotics. To our knowledge, it is the first network meta-analysis that systematically evaluates the effectiveness of probiotics for treating acute diarrhea in children. Our results showed that probiotics could reduce the duration of diarrhea in children by 1–2 days. Probiotics may be cost-effective for treating acute diarrhea in children because probiotics are cheap. The results of this study may provide a valuable reference for decision-making in a clinical setting.

5. Conclusions

In the Bayesian network meta-analysis of 84 studies involving 13,443 children, we found that certain single-strain (including Saccharomyces boulardii, LGG, Lactobacillus reuteri, Bifidobacterium lactis, and ECN 1917) and multi-strain probiotics effectively treated acute diarrhea in children with various certainty evidence. Saccharomyces boulardii may be the most effective probiotic for treating acute diarrhea in children. Besides, Bifidobacterium lactis was a promising probiotic. More studies are needed to verify the results.

Supplementary Materials

The following are available online at https://www.mdpi.com/article/10.3390/nu13124319/s1. Figure S1: Risk of bias graph; Figure S2: Risk of bias summary; Figure S3: Incoherence plot for the duration of diarrhea (control = placebo/no treatment); Figure S4: Incoherence plot for the duration of diarrhea (control = no treatment); Figure S5: Incoherence plot for the duration of hospitalization; Figure S6: Incoherence plot for the mean stool frequency on day 2; Figure S7: Incoherence plot for the duration of vomiting; Figure S8: Incoherence plot for the duration of fever; Table S1: Search strategies; Table S2: Characteristics of included studies; Table S3: Heterogeneity for the duration of diarrhea (control = placebo/no treatment); Table S4; Heterogeneity for the duration of diarrhea (control = placebo); Table S5: Heterogeneity for the duration of diarrhea (control = no treatment); Table S6: Heterogeneity for diarrhea lasting ≥2 days; Table S7: Heterogeneity for the duration of hospitalization; Table S8: Heterogeneity for the mean stool frequency on day 2; Table S9: Heterogeneity for the duration of vomiting; Table S10: Heterogeneity for the duration of fever; Table S11: NMA results for the duration of diarrhea (control = placebo/no treatment); Table S12: NMA results for the duration of diarrhea (control = placebo); Table S13: NMA results for the duration of diarrhea (control = no treatment); Table S14: NMA results for diarrhea lasting ≥2 days; Table S15: NMA results for the duration of hospitalization; Table S16: NMA results for the mean stool frequency on day 2; Table S17: NMA results for the duration of vomiting; Table S18: NMA results for the duration of fever; Table S19: Certainty of evidence for the duration of diarrhea; Table S20: Certainty of evidence for the duration of diarrhea (control = placebo); Table S21: Certainty of evidence for the duration of diarrhea (control = no treatment); Table S22: Certainty of evidence for diarrhea lasting ≥2 days; Table S23: Certainty of evidence for the duration of hospitalization; Table S24: Certainty of evidence for the mean stool frequency on day 2; Table S25: Certainty of evidence for the duration of vomiting; Table S26: Certainty of evidence for the duration of fever; Table S27: Rank for outcomes.

Author Contributions

Study design: Z.L. and L.Z.; data extraction, quality assessment, and data analysis: Z.L. and G.Z.; manuscript writing and edition: Z.L., G.Z., H.L. and L.Z.; technical support: C.L. and X.L. L.Z. approved the final version of this manuscript and took responsibility for its content. All authors have read and agreed to the published version of the manuscript.

Funding

L.Z. is supported by the National Natural Science Foundation of China (Grant number: 81950410639); Outstanding Young Scholars Support Program (Grant number: 3111500001); Xi’an Jiaotong University Basic Research and Profession Grant (Grant number: xtr022019003, xzy032020032); Epidemiology modeling and risk assessment grant (Grant number: 20200344) and Xi’an Jiaotong University Young Scholar Support Grant (Grant number: YX6J004).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare that they have no conflict of interest.

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Nutrients 13 04319 g001 550
Figure 1. PRISMA flow diagram for the Bayesian network meta-analysis.
Figure 1. PRISMA flow diagram for the Bayesian network meta-analysis.
Nutrients 13 04319 g001
Nutrients 13 04319 g002 550
Figure 2. Networks of treatment comparisons. A, S. boulardii; B, LGG; C: L. reuteri; D, Bacillus clausii; E, L. acidophilus; F, B. lactis; G, L. sporogenes; H, L. plantarum; I, ECN 1917; J, L. paracasei; K, E. faecium; L, L. spp.; M, L. spp. + B. spp.; N, L. spp. + B. spp.+ S. spp.; O, L. spp. + S. spp.; P, B. spp. + S. spp.; Q, Bacillus spp. + E. spp. + C. spp.; R, L. spp. + B. spp. + E. spp.; S, L. spp. + B. spp. + P. spp.; T, L. spp. + S. spp. + C. spp. + Bacillus spp.; U, control (placebo/no treatment). (a) network of the duration of diarrhea (control = placebo/no treatment); (b) network of the duration of diarrhea (control = placebo); (c) network of the duration of diarrhea (control = no treatment); (d) network for diarrhea lasting ≥ 2 days; (e) network of the duration of hospitalization; (f) network of the mean stool frequency on day 2; (g) network for the duration of vomiting; (h) network of the duration of fever. The circle size indicates the number of patients, and the line thickness indicates the number of trials.
Figure 2. Networks of treatment comparisons. A, S. boulardii; B, LGG; C: L. reuteri; D, Bacillus clausii; E, L. acidophilus; F, B. lactis; G, L. sporogenes; H, L. plantarum; I, ECN 1917; J, L. paracasei; K, E. faecium; L, L. spp.; M, L. spp. + B. spp.; N, L. spp. + B. spp.+ S. spp.; O, L. spp. + S. spp.; P, B. spp. + S. spp.; Q, Bacillus spp. + E. spp. + C. spp.; R, L. spp. + B. spp. + E. spp.; S, L. spp. + B. spp. + P. spp.; T, L. spp. + S. spp. + C. spp. + Bacillus spp.; U, control (placebo/no treatment). (a) network of the duration of diarrhea (control = placebo/no treatment); (b) network of the duration of diarrhea (control = placebo); (c) network of the duration of diarrhea (control = no treatment); (d) network for diarrhea lasting ≥ 2 days; (e) network of the duration of hospitalization; (f) network of the mean stool frequency on day 2; (g) network for the duration of vomiting; (h) network of the duration of fever. The circle size indicates the number of patients, and the line thickness indicates the number of trials.
Nutrients 13 04319 g002
Table
Table 1. Results of comparisons of interventions for each outcome in the network meta-analysis.
Table 1. Results of comparisons of interventions for each outcome in the network meta-analysis.
InterventionDuration of Diarrhea
(MD, 95%CI)		Duration of Diarrhea (Control = Placebo)
(MD, 95%CI)		Duration of Diarrhea (Control = No Treatment)
(MD, 95%CI)		Diarrhea Lasting ≥ 2 Days
(OR, 95%CI)		Duration of Hospitalization
(MD, 95%CI)		Mean stool Frequency on Day 2
(MD, 95%CI)		Duration of Vomiting
(MD, 95%CI)		Duration of Fever
(MD, 95%CI)
S. boulardii−0.98 c
(−1.29, −0.68)		−1.25 b
(−1.59, −0.91)		−0.95 c
(−1.33, −0.58)		0.22 b
(0.11, 0.41)		−0.88 c
(−1.58, −0.18)		−0.66 b
(−1.1, −0.23)		−0.07 b
(−0.31, 0.19)		−0.18 c
(−0.53, 0.16)
LGG−0.78 c
(−1.12, −0.44)		−0.23 b
(−0.51, 0.02)		−1.57 c
(−2.13, −1.01)		0.56 c
(0.21, 1.4)		−1.21 c
(−2.09, −0.33)		−0.66 b
(−1.2, −0.14)		−0.16 a
(−0.42, 0.09)		−0.56 b
(−1.2, 0.11)
L. reuteri−0.91 b
(−1.5, −0.32)		−0.84 b
(−1.39, −0.29)		−0.98 c
(−1.92, −0.04)		0.23 b
(0.090, 0.60)		−0.69 c
(−2.02, 0.65)		−1.5 b
(−2.3, −0.61)		--
Bacillus clausii−0.26 c
(−0.78, 0.26)		−0.26 b
(−0.96, 0.44)		−0.31 c
(−0.90, 0.28)		0.32 c
(0.020, 4.2)		−0.35 c
(−1.36, 0.65)		−0.40 a
(−0.98, 0.18)		−0.12 b
(−0.61, 0.38)		−0.1 b
(−0.5, 0.33)
L. acidophilus0.03 c
(−1.27, 1.32)		0.03 b
(−0.74, 0.8)		-0.84 c
(0.11, 6.2)		−0.28 c
(−1.6, 1.04)		0.0018 c
(−1.9, 1.9)		--
B. lactis−2.13 c
(−3.06, −1.22)		−0.98 b
(−1.82, −0.14)		−3.17 c
(−4.47, −1.87)		--- −0.52 c
(−1.3, 0.27)
L. sporogenes−0.1 b
(−1.36, 1.17)		−0.1 b
(−0.82, 0.62)		------
L. plantarum−1.23 c
(−2.52, 0.06)		-−1.23 c
(−2.55, 0.08)		-0.23 c
(−1.69, 2.15)		-−0.08 c
(−0.84, 0.68)		−0.23 c
(−2.13, 1.64)
ECN 1917−1.44 d
(−2.70, −0.17)		−1.44 d
(−2.16, −0.72)		-0.50 d
(0.062, 4.0)		----
L. paracasei−0.16 b
(−1.48, 1.16)		−0.16 b
(−0.98, 0.65)		------
E. faecium0.16 b
(−0.88, 1.20)		-−0.01 b
(−1.09, 1.06)		--−0.22 b
(−1.3, 0.80)		−0.12 b
(−0.6, 0.36)		0.08 b
(−0.68, 0.86)
L. spp. −0.31 a
(−0.93, 0.31)		−0.23 a
(−0.67, 0.18)		-1.0 b
(0.14, 7.3)		−1.1 c
(−3.06, 0.86)		−0.22 c
(−1.1, 0.70)		−0.24 b
(−0.79, 0.31)		−0.2 c
(−1.29, 0.89)
L. spp. + B. spp. −0.86 c
(−1.33, −0.4)		−0.79 c
(−1.22, −0.38)		−0.97 c
(−1.57, −0.37)		0.20 c
(0.052, 0.77)		−0.65 c
(−1.5, 0.19)		−0.78 d
(−1.6, −0.021)		-−0.66 c
(−1.7, 0.39)
L. spp. + B. spp. + S. spp. −1.17 b
(−1.75, −0.59)		−1.19 b
(−1.81, −0.58)		−1.26 d
(−1.99, −0.51)		0.35 c
(0.11, 1.0)		−0.74 c
(−2.69, 1.22)		−0.77 b
(−1.5, −0.014)		−0.26 b
(−0.75, 0.23)		−0.12 b
(−0.71, 0.47)
L. spp. + S. spp. −0.73 c
(−2.07, 0.61)		-−0.73 c
(−2.1, 0.64)		0.26 d
(0.031, 2.2)		----
B. spp. + S. spp. −0.04 c
(−1.28, 1.20)		−0.04 c
(−0.71, 0.63)		------
Bacillus spp. + E. spp. + C. spp. −1.1 c
(−2.02, −0.18)		−1.1 b
(−1.84, −0.35)		−1.1 c
(−2.44, 0.24)		-−0.46 c
(−1.8, 0.91)		−1.6 b
(−2.9, −0.44)		−0.63 b
(−1.15, −0.11)		−0.12 b
(−0.65, 0.44)
L. spp. + B. spp. + E. spp. −1.53 c
(−2.82, −0.24)		-−1.53 c
(−2.85, −0.21)		0.16 d
(0.019, 1.4)		−0.83 c
(−2.73, 1.07)		−1.3 c
(−2.6, 0.073)		--
L. spp. + B. spp. + Pediococcus spp. −1.1 c
(−2.66, 0.47)		−1.1 c
(−2.27, 0.08)		----−1.20 c
(−2.51, 0.11)		−0.5 c
(−1.97, 0.97)
L. spp. + Bacillus spp. + S. spp. + C. spp. −1.1 c
(−2.49, 0.29)		−1.1 c
(−2.03, −0.17)		---−0.85 c
(−2.5, 0.77)		--
MD, mean difference; OR, odds ratio; CI, confidence interval. a high certainty evidence. b moderate certainty evidence. c low certainty evidence. d very low certainty evidence. It would be considered statistically significant (p < 0.05) if the 95% CI of OR did not contain 1 or the 95% CI of MD did not contain 0.
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Li, Z.; Zhu, G.; Li, C.; Lai, H.; Liu, X.; Zhang, L. Which Probiotic Is the Most Effective for Treating Acute Diarrhea in Children? A Bayesian Network Meta-Analysis of Randomized Controlled Trials. Nutrients 2021, 13, 4319. https://doi.org/10.3390/nu13124319

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Li Z, Zhu G, Li C, Lai H, Liu X, Zhang L. Which Probiotic Is the Most Effective for Treating Acute Diarrhea in Children? A Bayesian Network Meta-Analysis of Randomized Controlled Trials. Nutrients. 2021; 13(12):4319. https://doi.org/10.3390/nu13124319

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Li, Zengbin, Guixian Zhu, Chao Li, Hao Lai, Xin Liu, and Lei Zhang. 2021. "Which Probiotic Is the Most Effective for Treating Acute Diarrhea in Children? A Bayesian Network Meta-Analysis of Randomized Controlled Trials" Nutrients 13, no. 12: 4319. https://doi.org/10.3390/nu13124319

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Li, Z., Zhu, G., Li, C., Lai, H., Liu, X., & Zhang, L. (2021). Which Probiotic Is the Most Effective for Treating Acute Diarrhea in Children? A Bayesian Network Meta-Analysis of Randomized Controlled Trials. Nutrients, 13(12), 4319. https://doi.org/10.3390/nu13124319

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