Bibliographic record
Abstract
PURPOSE OF REVIEW: Regarding the various aspects of screening strategies for gestational diabetes mellitus (GDM) and to express important conclusions, the recent literature in the field is reviewed. RECENT FINDINGS: There are no randomized controlled trials examining the effects of different screening methods on health outcomes. Only few studies investigated the new screening strategies. There is an agreement that universal GDM screening is cost-effective. Several professional societies changed their own guidelines recommending universal GDM screening. Currently, the American College of Obstetricians and Gynecologists, the Society of Obstetricians and Gynaecologists of Canada, and the U.K. National Institute for Health and Clinical Excellence recommend routine risk-factor-based screening, whereas the Canadian Diabetes Association, Australasian Diabetes in Pregnancy Society, U.S. Preventive Services Task Force, and ATLANTIC Diabetes in Pregnancy recommend that all asymptomatic women should be screened at 24-28 weeks' gestation. The American Diabetes Association recommends screening all women with a 75-g 2-h oral glucose tolerance test (oGTT). The International Association of Diabetes and Pregnancy Study Groups recommend no glucose challenge test, but proposed new screening criteria introducing fasting glucose levels less than 5.1 mmol/l. SUMMARY: There is more and more evidence in the recent literature that GDM screening should be universally performed at 24-28 gestational weeks and followed by definitive testing in women who are labeled as high-risk population. Logically, the best strategy would be connecting the screening with diagnosing GDM in the same procedure using a 75-g oGTT, which should be evaluated. General consensus is about measuring plasma glucose to detect pregestational diabetes in high-risk populations by early testing before 20 weeks of gestation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 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 | 0.001 |
| 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".