Roles of the underlying cause of delivery and gestational age on long‐term child health
Bibliographic record
Abstract
BACKGROUND: Clinical conditions leading to delivery are heterogeneous. However, most studies examining the short- and long-term consequences of birth on child health only consider gestational age at delivery, not the underlying cause. OBJECTIVE: To examine the effect of both gestational age at delivery and underlying cause of delivery on child health outcomes. METHODS: This population-based retrospective cohort study of singleton infants born in Alberta (April 2004-March 2005) used linked administrative and perinatal data to identify birth subtypes by underlying cause (infection/inflammation (I/I), placental dysfunction (PD), both, or neither), gestational age at delivery, and child health outcomes (neonatal morbidity and mortality, paediatric complex chronic conditions, and neurodevelopmental disorders and disabilities). Poisson regression with robust variance was used to assess differences in the (adjusted) risk ratio (RR) of each outcome by gestational age, and by cause of delivery. The roles of gestational age and cause of delivery were examined using mediation analysis methods. RESULTS: A total of 38,192 children were included, with 66.7% experiencing neither I/I nor PD (I/I: 4.0%, PD: 27.5%, both: 1.8%). Infants born preterm had higher risk of all outcomes compared to those born at term and late-term. Infants with exposure to both causes had higher risk of all outcomes (neonatal morbidity, RR 8.96, 95% confidence interval [CI] 7.55, 10.63; paediatric complex chronic conditions, RR 3.94, 95% CI 3.08, 5.05; and neurodevelopmental disorders, RR 1.58, 95% CI 1.37, 1.84). The effect of underlying cause of delivery on child health outcomes was partially explained by gestational age, more in cases involving I/I than in those involving PD alone. CONCLUSIONS: Short- and long-term child health outcomes differ by the underlying cause leading to delivery, as well as the gestational age at delivery. Having a clearer prognosis for infants may promote the use of clinical interventions earlier for children at increased risk.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 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".