Antenatal iron‐folic acid supplementation reduces mortality in children less than 5 years of age in Nepal (624.18)
Bibliographic record
Abstract
Objective To examine the effect of antenatal IFA supplements on the risk of childhood mortality in Nepal using pooled data from 3 Nepal DHS (2001, 2006 & 2011). Methods Survival information was used from 13,009 singleton most recent live‐born infants. Primary outcomes were mortality indicators in children <5 years and the main exposure variable was any use of IFA supplements. Analyses used multivariate Cox proportional hazards regression adjusted for X potential confounders and the sampling design. Results Any use of IFA supplements significantly reduced risk of neonatal deaths by 42%, and by 45% for early neonatal deaths (aHR: 0.55, 95% CI: 0.38, 0.79, p=0.002). These protective effects of any IFA extended to 4 years of age. For mothers who started <4 months of pregnancy and used 蠅120 supplements under‐5 mortality was significantly reduced by 55%. 15% of under‐5 deaths were attributed to non‐use of IFA, and 29,000 under‐5 deaths could be prevented in the next 5 years with universal coverage of IFA. Conclusion IFA significantly reduces the risk of under‐5 deaths in Nepal, with the greatest impact on child survival in women who started early in pregnancy and took 蠅120 supplements. Grant Funding Source : Supported by UNICEF Nepal
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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 | 0.001 | 0.002 |
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".