Adequacy of prenatal care and stillbirth
Bibliographic record
Abstract
BACKGROUND: There is limited literature on adequacy of prenatal care during pregnancy especially in case of stillbirth. METHODS: This retrospective study consisted of 103 patients with stillbirths and 197 patients with live births. The Adequacy of Prenatal Care Utilization Index (APNCU) was used to determine prenatal care adequacy (Canadian Task Force Classification II-2). RESULTS: Among high-risk patients, the APNCU categories of inadequate (OR=3.81, 95% CI: 1.16-12.57, P<0.05) and adequate plus (OR=2.58, 95% CI: 1.23-5.38, P<0.05) were each significantly associated with greater odds for stillbirth. Diabetes, multifetal gestations, and fetal anomalies were each significantly associated with increased odds for stillbirth. CONCLUSIONS: Our findings emphasize the importance of clinicians in the role of providing appropriate prenatal care in the prevention of stillbirth. Clinicians also should realize that even with the best care approach of adequate plus prenatal care, certain high-risk patients will still be at risk for stillbirth.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".