The Effect on the Fetus of Medications Used to Treat Pregnant Inflammatory Bowel-Disease Patients
Bibliographic record
Abstract
OBJECTIVES: We reviewed data to investigate the effect of 5-ASA drugs, metronidazole, ciprofloxacin, prednisone, 6-mercaptopurine, azathioprine, and cyclosporine on pregnancy outcomes in patients with inflammatory bowel disease (IBD). METHODS: One hundred and thirteen female patients with a total of 207 documented conceptions were studied. Treatment information included: smoking history (patient and spouse), dates of conception and termination, and outcome of pregnancy (spontaneous abortion, therapeutic abortion, maternal or fetal illness resulting in abortion, premature birth, healthy full-term birth, multiple births, ectopic pregnancy, congenital defects), weight of baby, type of delivery (cesarian section, vaginal), medication history during each trimester (mean dose, maximum dose, frequency). We analyzed the effect on pregnancy outcome of medication use during the first trimester or at any time during the pregnancy. RESULTS: Thirty-nine patients (34.5%) had ulcerative colitis (UC), 73 (64.5%) had crohn's disease (CD), and 1 patient (1%) had indeterminate colitis. For 100 of the 207 conceptions, the patients were on 5-ASA drugs at some time during the pregnancy, 49 on prednisone, 101 on an immunomodulator (6-MP/azathioprine), 27 on metronidazole, 18 on ciprofloxacin, and 2 on cyclosporine. In 85 (31%) of the conceptions, patients were on none of these medications. No significant differences were found among the groups in each pregnancy with respect to outcome (p values 0.091 to 0.9). In multivariate analyses controlling for age of mother, there was no evidence that 5-ASA type drugs or any type of drug influenced pregnancy outcome. CONCLUSIONS: In 113 female patients with 207 conceptions none of the drugs used to treat IBD is associated with poor pregnancy outcomes.
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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 | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| 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".