Comparison of preventive and therapeutic zinc supplementation programs for young children in Burkina Faso: a randomized, masked, community‐based trial
Bibliographic record
Abstract
WHO/UNICEF recommend oral rehydration salts (ORS), continued feeding and 10–14 d of Zn supplementation (supp) to treat diarrhea; but preventive Zn supp may provide greater benefit than Zn supp given only for diarrhea. We compared 3 supp strategies in 6,426 children 6–30 mo old randomly assigned to 1 of 4 treatments for 16, 32 or 48 wk: daily preventive supp (7mg Zn/d and ORS+placebo (Pl) for diarrhea), intermittent preventive supp (10mg Zn/d for 10d every 16wk and ORS+Pl for diarrhea), therapeutic supp (daily Pl and ORS+20mg Zn/d for 10d for diarrhea) or control (ORS for diarrhea). Home visits were completed weekly; free treatment was provided for uncomplicated diarrhea (>;3 liquid/semi‐liquid stools/d), fever or malaria. Supp group codes are still masked. Reported adherence to daily supp (93%) did not differ by group. Diarrhea incidence was low (0.5%) and baseline stunting high (28.3%). The 3 supp groups had moderately lower diarrhea incidence (OR=0.76 to 0.80, p<0.001) and gained slightly less length (−0.14 to −0.11 cm/16wk, p=0.002 to 0.011) than the control group, but did not differ from each other (p>;0.45). Differences in diarrhea incidence increased with time and appeared sooner in one supp group. Zn supp reduces diarrhea in this population; greater benefits of one strategy for diarrhea prevention may emerge when codes are revealed. Supports: Thrasher Research Fund and Canadian International Development Agency.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".