Treating the mother – protecting the unborn: The safety of hypoglycemic drugs in pregnancy
Bibliographic record
Abstract
The purpose of this review is to provide a brief overview of the safety of antidiabetics in pregnancy. Specifically, concerns over teratogenicity due to the possible placental transfer of antidiabetics as well as maternal and neonatal outcomes are addressed. Several new insulin analogs are currently available for the treatment of diabetes. Due to the improved glycemic control demonstrated in non pregnant patients, these analogs may also prove to be beneficial in pregnancy. Insulin lispro is the only insulin analog that has been systematically studied in pregnancy. Results of these studies show a lack of transfer across the placenta and no adverse fetal and neonatal outcomes. The use of oral hypoglycemic agents in pregnancy is also generating interest. To date, there has been only one randomized controlled trial investigating the use of glyburide which found it to be safe and effective in the management of gestational diabetes mellitus. The lack of randomized controlled trials for antidiabetics in pregnancy highlights the need for more comprehensive investigation regarding their safety and efficacy.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".