Observational data from the adalimumab post‐marketing PYRAMID registry of patients with Crohn's disease who became pregnant: A post hoc analysis
Bibliographic record
Abstract
BACKGROUND: PYRAMID was an international post-marketing registry that aimed to collect data on the long-term safety and effectiveness of adalimumab treatment per local standard of care in patients with moderately to severely active Crohn's disease (CD). Here, we present post hoc analyses of observational data from patients who became pregnant while participating in this registry and receiving adalimumab. METHODS: From the subpopulation of patients receiving adalimumab who became pregnant while taking part in PYRAMID, data on patient characteristics, pregnancy outcomes, and complications of pregnancy were analysed retrospectively. RESULTS: Across the PYRAMID registry, 293 pregnancies occurred in patients who had gestational adalimumab exposure (average disease duration at last menstrual period: 8.6 years), resulting in 300 pregnancy outcomes. A total of 197 pregnancies (67.2%) were exposed to adalimumab in all trimesters per physician's decision. Of the known reported outcomes (96.3%), 81.7% (236/289) were live births, 10.4% (30/289) were spontaneous abortions, 4.8% (14/289) elective terminations, 2.8% (8/289) ectopic pregnancies, and 0.3% (1/289) was a stillbirth. Congenital malformations (pulmonary valve stenosis and tricuspid valve incompetence) were reported in one infant. In addition to the pregnancy outcomes described above, 23 complications of pregnancy were reported in 20 patients. CONCLUSIONS: This analysis showed that adalimumab treatment in patients with CD, who became pregnant whilst participating in the PYRAMID registry, contributed no additional adverse effects during the pregnancy course or on 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 | 0.007 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".