Scoping review of evidence for managing postnatal hypoglycaemia
Bibliographic record
Abstract
OBJECTIVES: To identify what is known empirically about the screening, treatment and harm of exposure to neonatal hypoglycaemia. DESIGN: Scoping review that applied a preregistered protocol based on established frameworks. DATA SOURCES: Medline and Embase, up to 12 May 2020. STUDY SELECTION: Comparative and case-series studies, as well as guidelines, published in English or French, on the topic of immediate inpatient postnatal glucose screening in newborns. DATA GATHERING: Article selection and characterisation were performed in duplicate using predefined data extraction forms specific to primary studies and guidelines. RESULTS: 12 guidelines and 74 primary studies were included. A neurodevelopmental outcome was primary in 32 studies: 30 observational studies followed up posthypoglycaemic, and the 2 intervention studies included 1 randomised controlled trial (RCT) about treatment thresholds. Three other RCTs assessed dextrose gel (two) and oral sucrose (one). 12 of 30 studies that evaluated non-neurodevelopmental primary outcomes were intervention studies. Only one cohort study compared outcomes in screened vs unscreened newborns. The guidelines did not arrive at a consensus definition of postnatal hypoglycaemic, and addressed potential harms of screening more often than primary studies. CONCLUSIONS: The primary literature that informs hypoglycaemia screening is a series of studies that relate neurodevelopmental outcomes to postnatal hypoglycaemia. Further research is needed to better define an optimal threshold for hypoglycaemia that warrants intervention, based on long-term neurodevelopmental outcomes and a better delineation of potential screening harms.
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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 | 0.052 | 0.223 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.009 | 0.008 |
| Bibliometrics | 0.034 | 0.026 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.005 | 0.005 |
| Research integrity | 0.006 | 0.004 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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".