Neonatal Seizures in Low- and Middle-Income Countries: A Review of the Literature and Recommendations for the Management
Bibliographic record
Abstract
Neonatal seizures are a common cause of neonatal intensive care unit (NICU) admission and a significant source of morbidity and mortality worldwide. Over the recent decades, there have been significant improvements in perinatal and neonatal medicine and electroencephalograp hic monitoring that have enhanced the diagnosis and treatment of neonatal seizures in highincome countries. However, the management of neonatal seizures remains a major challenge in low- to middle-income countries, where the availabilityof resources is limited. The purpose of this article is to present a comprehensive review of the current evidence on the etiology, pathophysiology, diagnosis, and treatment of neonatal seizures and to offer practical management recommendations that could be implemented in resource-limited settings. Cite this article as: Spenard S, Ivan Salazar Cerda C, Cizmeci MN. Neonatal seizures in low and middleincome countries: Review of the literature and recommendations for the management. Turk Arch Pediatr. 2024;59(1):13-22.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".