The impact of family history of diabetes on risk factors for gestational diabetes
Why this work is in the frame
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Bibliographic record
Abstract
OBJECTIVE: Familial history of type 2 diabetes (FHD) represents a pathophysiologically unique risk factor for gestational diabetes (GDM), insofar as it encompasses both inherited and lifestyle elements. We thus hypothesized that the risk factors for gestational hyperglycaemia in women with FHD may differ from those in women without FHD. DESIGN/PATIENTS/MEASUREMENTS: GDM risk factors were evaluated in 90 women with FHD and in 83 women without FHD, at the time of oral glucose tolerance testing in late pregnancy. RESULTS: There were no significant differences between the two groups in ethnicity, prepregnancy BMI, the insulin-sensitizing protein adiponectin, glucose tolerance status and area-under-the-glucose-curve (AUC(gluc)). In women with FHD, a multiple linear regression model of established GDM risk factors reconciled 35% of the variance in AUC(gluc), with (i) previous GDM (t = 3.74, P = 0.0003) identified as a positive independent determinant and (ii) log adiponectin (t = -3.48, P = 0.0008) and, unexpectedly, parity (t = -3.19, P = 0.0021) emerging as negative independent covariates of AUC(gluc). In contrast, in women without FHD, the same multivariate model reconciled only 15% of the variance in AUC(gluc), with no significant variables identified. Interestingly, in the entire population (n = 173), parity significantly modified the relationship between FHD and AUC(gluc) (FHD-parity interaction: t = -2.29, P = 0.0235). Indeed, FHD was an independent determinant of AUC(gluc) in nulliparous women (n = 91), but not in parous women (n = 82). CONCLUSION: Established risk factors for GDM are relevant in women with FHD but may not be the principal determinants of gestational hyperglycaemia in women without FHD. Moreover, FHD may be more relevant to risk of GDM in nulliparous women than in parous subjects. These findings highlight the complex relationship between FHD and gestational hyperglycaemia, and may hold implications for selective screening for GDM.
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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 | 0.001 | 0.006 |
| 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 | 0.001 |
| 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 it