Pregnancy outcomes of Chinese women with gestational diabetes mellitus defined by the IADPSG's but not by the 1999 WHO's criteria
Bibliographic record
Abstract
OBJECTIVE: To compare pregnancy outcomes of women with gestational diabetes mellitus (GDM) newly defined by the International Association of Diabetes and Pregnancy Study Group (IADPSG)'s criteria vs GDM cases missed by a shift from the 1999 World Health Organization (WHO)'s criteria to the IADPSG's. METHODS: From 2010 to 2012, we recruited 17 808 women who registered within 12 weeks of gestation in Tianjin, China. All women underwent a 50-g 1-h glucose challenge test (GCT) at 24-28 weeks of gestation and further underwent a 75-g 2-h oral glucose tolerance test (OGTT) if the GCT result was ≥7·8 mmol/l. Women were divided into four groups, i.e., GDM defined by both criteria, GDM defined by the IADPSG's only, GDM defined by the 1999 WHO's only and non-GDM by either of them. Large for gestational age (LGA), macrosomia, pregnancy-induced hypertension (PIH) and preterm birth were compared among the four groups. Logistic regression was used to control for confounders. RESULTS: The use of IADPSG's and the 1999 WHO's criteria detected that 7·7% (n = 1378) and 6·8% (n = 1206) of women had GDM, respectively, with 429 GDM newly identified and 257 women missed by a shift from the 1999 WHO's to the IADPSG's. The IADPSG's newly defined GDM had significantly increased risks of LGA (adjusted OR: 2·23, 95%CI: 1·36-3·64) and macrosomia (2·65, 95%CI: 1·50-4·66) than the 1999 WHO's only defined GDM cases. CONCLUSIONS: A shift of the 1999 WHO's criteria to the IADPSG's diagnosed more GDM cases who had worse pregnancy outcomes than those cases missed.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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".