Perinatal outcomes following nonadherence to guideline‐based screening for gestational diabetes: A population‐based cohort study
Bibliographic record
Abstract
INTRODUCTION: The optimal approach for gestational diabetes mellitus (GDM) screening remains controversial. Since 2003, all Canadian guidelines have recommended universal GDM screening. Some countries, such as Sweden, use selective GDM screening among those with pre-existing risk factors. In Canada, antenatal care model (midwife, general practitioner or obstetrician) is partially self-selected; thus, patient populations may differ between care models. Despite the Canadian policy of universal GDM screening, screening nonadherence is more frequent in midwife-led care. We examined perinatal outcomes according to GDM screening adherence vs. nonadherence in this population. MATERIAL AND METHODS: We conducted a population-based cohort study of singleton pregnancies and infants using linked administrative data from the province of British Columbia, Canada. We restricted the study to pregnancies with midwife-led antenatal care where GDM screening nonadherence occurred more frequently and was more likely by choice. We estimated adjusted risk ratios (aRR) according to GDM screening, comparing no glucose tests during pregnancy (21.4%), early glucose testing <20 weeks (5.5%), and glucose testing with alternate methods ≥20 weeks (4.0%) vs. normoglycemic pregnancies (69%) using multivariable log binomial regression. We stratified by known GDM risk factors. Our primary outcome was large for gestational age (LGA) infants. Secondary outcomes were small for gestational age infants (SGA), stillbirth, 5-min Apgar <7, birth trauma, preterm birth, cesarean birth, and obstetric anal sphincter injury (OASI). RESULTS: In this cohort of 83 522 pregnancies, having no glucose tests in pregnancy was associated with lower risks of LGA and cesarean birth (LGA aRR 0.82; 95% CI 0.79-0.86; cesarean birth aRR 0.75; 95% CI 0.72-0.78) and higher risks of stillbirth and SGA (stillbirth aRR 1.6; 95% CI 1.0-2.2; SGA aRR 1.2; 95% CI 1.1-1.3) compared with normoglycemic pregnancies. Stillbirth risks were further elevated (aRR 2.5; 95% CI 1.2-5.0) in strata with GDM risk factors, but not in strata without risk factors, while higher SGA risks persisted across strata. CONCLUSIONS: Nonadherence to GDM screening guidelines was associated with lower risks for excess fetal growth-related outcomes (LGA, cesarean birth), but higher risks of stillbirth and SGA.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".