Do Postpartum Levels of Apolipoproteins Prospectively Predict the Development of Type 2 Diabetes in Women with Previous Gestational Diabetes Mellitus?
Bibliographic record
Abstract
AIMS: The risk of developing type 2 diabetes is greater in women with previous gestational diabetes mellitus (GDM). Apolipoprotein (Apo) species have been associated with the development of type 2 diabetes in the general population. The aim of this study was to determine if circulating levels of Apo species can predict development of type 2 diabetes in women with previous GDM. METHODS: Apo AI, Apo AII, Apo B, Apo CII, Apo CIII and Apo E levels were measured in 95 women with normal glucose tolerance, 12 weeks following an index GDM pregnancy. Women were assessed for up to 10 years for the development of type 2 diabetes. RESULTS: Postpartum Apo CIII levels, and Apo CIII/Apo AI, Apo CIII/Apo AII, Apo CIII/Apo CII, Apo CIII/Apo E and Apo E/Apo CIII ratios were significantly and positively associated with the development of type 2 diabetes. After controlling for age and BMI, these associations, except for the Apo E/Apo CIII ratio, remained significant. In a clinical model of prediction of type 2 diabetes that included age, BMI, and pregnancy and postnatal fasting glucose, the addition of Apo CIII levels, Apo CIII/Apo AI, Apo CIII/Apo AII, Apo CIII/Apo CII, and Apo CIII/Apo E resulted in a net reclassification improvement of 16.2%. CONCLUSIONS: High Apo CIII levels and the Apo CIII/Apo AI, Apo CIII/Apo AII, Apo CIII/Apo CII, and Apo CIII/Apo E ratios are all significant risk factors for the development of type 2 diabetes in women with a previous GDM pregnancy.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| 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".