Socioeconomic inequity in survival for deliveries at 22–24 weeks of gestation
Bibliographic record
Abstract
OBJECTIVE: Guidelines recommend individual decision making on resuscitating infants of 22-24 weeks' gestational age (GA) at birth. When the decision not to resuscitate is made, infants would likely die soon after delivery, and under some circumstances such neonatal deaths may be registered as stillbirths occurring during delivery (intrapartum stillbirth). Thus we assessed whether socioeconomic factors are associated with peridelivery deaths (during or within 1 hour of delivery) of infants delivered at 22-24 weeks' gestation. METHODS: We analysed 14 726 singletons of 22-24 weeks' GA using the 2003-2011 Japanese vital statistics, and assessed how maternal characteristics influence risk of peridelivery death as well as intrauterine fetal death (IUFD) and death after 1 hour of age until 40 weeks postmenstrual age. RESULTS: Living in a municipality with low-average income (lowest tertile (risk ratio 1.32, 95% CI 1.20 to 1.44), middle tertile (risk ratio 1.08, 95% CI 0.98 to 1.19)), younger maternal age (age <20 (risk ratio 1.43, 95% CI 1.17 to 1.75), age 20-34 (risk ratio 1.14, 95% CI 1.03 to 1.27)) and having previous live births (risk ratio 1.08, 95% CI 1.01 to 1.17) increased risk of peridelivery deaths, but did not increase risk of IUFD or deaths after 1 hour of age. Peridelivery death was twice as likely to occur in births to multiparous teenage mothers in a low-income municipality, compared with those of older primiparous mothers in a wealthier municipality. CONCLUSIONS: Socioeconomic factors substantially influence whether births of 22-24 weeks' GA survive delivery and the first hour of life. Such disparities may reflect the impact of socioeconomic situations on decision making for resuscitation.
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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 | 0.004 |
| 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 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".