Prepregnancy Diabetes and Risk of Placental Vascular Disease
Bibliographic record
Abstract
Maternal diabetes before pregnancy is associated with adverse maternal and perinatal outcomes, including acquired hypertension during pregnancy (1,2,3). The maternal placental syndromes preeclampsia and abruption or infarction of the placenta (4) are also more prevalent in women with insulin resistance, diabetes, and the metabolic syndrome (3,5–8). We evaluated the risk of placental vascular disease in association with prepregnancy diabetes. We completed a retrospective population-based study of all women who underwent antenatal maternal serum screening (MSS) in Ontario, Canada, between 1993 and 2000, as described elsewhere (9). Those with a multiple gestation pregnancy at the time of MSS were excluded. Maternal characteristics (Table 1) were recorded on a standardized form and completed by the patients’ caregivers at the time of MSS. Data on obstetrical outcomes and the health status of each newborn were also linked to the Discharge Abstract Database of the Canadian Institute for Health Information, providing up to eight ICD-9 diagnostic codes for each woman and each newborn (see the online appendix [available at http://dx.doi.org/10.2337/dc07-0364]). The primary study outcome was a diagnosis of either preeclampsia and abruption or infarction, according to the relevant ICD-9 codes recorded at the delivery hospital (online appendix). Secondary study outcomes included an individual diagnosis of preeclampsia and abruption or infarction, maternal preeclampsia/eclampsia, and poor fetal growth or fetal growth restriction. ### Statistical analysis The association between prepregnancy diabetes …
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".