Population Meta-Analysis of Low Plasma Glucose Thresholds in Full-Term Normal Newborns
Bibliographic record
Abstract
There is extreme variation in the definition of low plasma glucose levels in newborn infants in the first postnatal days, ranging from < 30 to < or = 60 mg/dL. The goal of the present study was to define low thresholds (< or = 5th percentile) of plasma glucose concentrations in full-term normal newborns during the first 72 hours of life. Population meta-analysis was performed on published studies of neonatal hypoglycemia ascertained by MedLine search. One-way analysis of variance was computed across the studies for each of the following four postnatal time periods: 1 to 2 (physiological nadir), 3 to 23, 24 to 47, and 48 to 72 hours. The estimated < or = 5th percentiles of neonatal hypoglycemia during 1 to 2, 3 to 23, 24 to 47, and 48 to 72 hours after birth were < or = 28, < or = 40, < or = 41, and < or = 48 mg/dL, respectively. Based on this statistical definition, we recommend that low thresholds of plasma glucose levels of 28, 40, and 48 mg/dL be adopted in full-term normal newborns at 1 to 2, 3 to 47, and 48 to 72 hours of life, respectively.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.008 | 0.022 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.011 | 0.015 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".