Green banana-supplemented diet in the home management of acute and prolonged diarrhoea in children: a community-based trial in rural Bangladesh
Bibliographic record
Abstract
SUMMARY OBJECTIVE: To determine the effectiveness of green banana in the home management of acute (<7 days) or prolonged (≥ 7 days) diarrhoea at the community level. METHODS: A cluster randomized field trial was conducted among 2968 Bangladeshi rural children 6-36 months old. Wards (villages) were randomly assigned to either a standard care group or a standard care plus green banana group where mothers were instructed to add cooked green banana to the diets of diarrhoeal children. Through a village-based surveillance system, diarrhoeal morbidity data (severity, duration, compliance) were collected for 14 days. Treatment effects were determined by analysing cumulative probability of cure by testing Cox proportional hazards models and relative risk (RR). RESULTS: The cumulative probability of cure was significantly (P < 0.001) different in children receiving GB for both acute [hazard ratio (HR) = 0.63 (95% CI: 0.56-0.67)] and prolonged diarrhoea [HR = 0.38 (95% CI: 0.26-0.59)]. The recovery rates of children with acute diarrhoea receiving GB (vs. control) were significantly more by day 3: 79.9%vs. 53.3% [(RR) = 0.47, 95% CI: 0.41-0.55], (P < 0.001) and day 7: 96.6%vs. 89.1% (RR = 0.32; 0.22-0.46), (P < 0.001). Children with prolonged diarrhoea receiving green banana had significantly higher recovery rates by day 10: 79.8%vs. 51.9% (RR = 0.42; 0.23-0.73), (P < 0.001) and day 14: 93.6%vs. 67.2% (RR = 0.22; 0.08-0.54), (P < 0.001). CONCLUSION: A green banana-supplemented diet hastened recovery of acute and prolonged childhood diarrhoea managed at home in rural Bangladesh.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".