Gelatin tannate for acute diarrhoea and gastroenteritis in children: a systematic review and meta-analysis
Bibliographic record
Abstract
Objective To determine the effectiveness and safety of gelatin tannate (GT) for reducing the duration of the acute diarrhoea and gastroenteritis (ADG) in children. Design Systematic review and meta-analysis. Data sources MEDLINE, Embase, CINAHL, Cochrane Central Register of Controlled Trials, LILACS and grey literature, published from inception to October 2018. No language restrictions. Eligibility criteria for selecting studies Randomised controlled trials in children with ADG, comparing GT with placebo. Results Of 797 titles identified, we included three studies (276 children). We performed a random effects model meta-analysis for the main outcome (diarrhoea duration). We did not find significant differences between GT and placebo for diarrhoea duration (mean difference (MD)=−15.85 hours; 95% CI −42.24 to 14.82, I2=92%; three studies), stool frequency at day 2 (MD=0.11 stools/day; 95% CI −0.39 to 0.62: I2=26%; two studies), diarrhoea at day 3 (risk ratio [RR]=0.46; 95% CI 0.06 to 3.47: I2=73%; two studies), vomiting (RR=1.31; 95% CI 0.95 to 1.80: I2=0%; two studies) or adverse events (RR=0.86; 95% CI 0.27 to 2.66: I2=0%; two studies). Most common adverse events included abdominal pain and nausea. Conclusion The effect of GT was no different to placebo for mean diarrhoea duration (low certainty on the evidence) and stool frequency at day 2 (high certainty) and for the presence of diarrhoea at day 3 (very low certainty) of vomiting (moderate certainty) and of adverse events (low certainty). PROSPERO registration number CRD42018087902.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.012 | 0.024 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.024 | 0.038 |
| Bibliometrics | 0.007 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".