Therapeutic Hypothermia in Low- and Middle-Income Countries: A Systematic Review and Meta-Analysis
Bibliographic record
Abstract
OBJECTIVE: To evaluate therapeutic hypothermia (TH) for moderate or severe hypoxic-ischemic encephalopathy in low- and middle-income countries. STUDY DESIGN: Medline, Embase, and CENTRAL were searched until September 19, 2024. Screening, article selection, bias assessment using Cochrane RoB2, and data extraction were performed. Meta-analyses of randomized controlled trials were performed for the composite primary outcome of death or moderate to severe neurodevelopmental impairment (NDI) at 18-24 months, and secondary outcomes were followed by certainty of evidence evaluation using Grading of Recommendations, Assessment, Development and Evaluations. RESULTS: 0%, 4 studies, 511 infants, low certainty). CONCLUSIONS: In low- and middle-income countries, in hospitals using defined protocols and having capacity for intensive care and follow-up, TH has possible benefit for infants ≥37 weeks gestational age for important secondary outcomes, including NDI.
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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 | 0.014 | 0.027 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.016 | 0.028 |
| Bibliometrics | 0.006 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".