Perinatal outcomes of pregnancy in the fifth decade and beyond– a comparison of very advanced maternal age groups
Bibliographic record
Abstract
To study the effect of very advanced maternal age on perinatal outcomes. A retrospective cohort study of women aged 45 years and above, who delivered ≥22 weeks of gestation in a single tertiary center between 1/ 2011 and 12/ 2018. Maternal and neonatal outcomes were compared between women ≥50 years and women of 45-49 years at delivery. Of 83,661 parturients, 593 (0.7%) were 45-49 years old and 64 (0.07%) were ≥50 years old. Obstetrical characteristics were comparable, though the rate of chronic hypertension and preeclampsia with severe features were greater in women ≥50 years (6.2% vs 1.4%, p = 0.04, 15.6% vs 7.0%, p = 0.01, 95% CI 0.19-0.86, respectively). Elective cesarean deliveries were independently associated with advanced maternal age ≥50 (OR 2.63 95% CI 1.21-5.69). Neonatal outcomes were comparable for singletons, but rates of ventilatory support and composite severe neonatal outcomes were higher in twin pregnancies of women ≥50 years (42.8% vs 13.5%, p = 0.01, and 21.4% vs 4.0%, p = 0.03, respectively). Healthy women ≥50 have higher elective cesarean rates, despite similar maternal and neonatal characteristics.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".