Bibliographic record
Abstract
There is increasing interest in the use of oral hypoglycemic agents in pregnancy. Glyburide (glibenclamide) and metformin are unlikely to be teratogenic. Studies show that metformin crosses the placenta, whereas glyburide does not. Metformin improves ovulation rates in women with polycystic ovary syndrome and preliminary data suggest that it may decrease spontaneous abortions and gestational diabetes (GDM) in these women when used in pregnancy. Glyburide and metformin have shown equivalent glycemic control and neonatal outcomes in randomized controlled trials when compared with insulin, in women with GDM. However, questions remain regarding their use. Traditionally, pregnant women with Type 2 diabetes or GDM have been managed with insulin but this practice may change in the light of recent trial data. There are few data on the use of PPAR-gamma agonists in pregnancy. Tolerability is likely to be an issue with the use of alpha glucosidase inhibitors. Glyburide, glipizide and metformin appear compatible with breastfeeding, but are still not universally recommended.
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 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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.028 | 0.014 |
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".