Open : Lymphoma Risk and Overall Safety Profile of Adalimumab in Patients With Crohn's Disease With up to 6 Years of Follow-up in the PYRAMID Registry
Bibliographic record
Abstract
OBJECTIVES: Real-world, prospective, long-term studies in Crohn's disease (CD) characterizing adalimumab safety data and lymphoma risk were lacking. We present the final results from the PYRAMID registry, which was designed to rule out a doubling of lymphoma risk in adalimumab-treated patients with CD. METHODS: Patients with moderately to severely active CD newly prescribed or currently receiving adalimumab according to local product labels were followed for up to 6 years and analyzed for adverse events (AEs). The registry exposure-adjusted observed rate of lymphoma was compared with the estimated background lymphoma rate from a sex-matched general population in the Surveillance, Epidemiology, and End Results 17 Registry database adjusted for anticipated prior or concurrent thiopurine use in a CD population. RESULTS: A total of 5025 patients were evaluated (16680.4 PY of adalimumab registry exposure, ≈3 years/patient mean follow-up). Registry treatment-emergent AEs included 4129 serious AEs (n = 1853 [36.9%]; 24.8 E/100 PY), 792 serious infections (n = 556 [11.1%]; 4.7 E/100 PY), and 134 malignancies (n = 116 [2.3%]; 0.8 E/100 PY), including ten lymphomas. The observed lymphoma rate (0.060 E/100 PY) was lower than the estimated background rate (0.084 E/100 PY), and the upper bound of the one-sided 95% CI of the observed rate (0.102 E/100 PY) was lower than double the estimated rate (0.168 E/100 PY). CONCLUSIONS: PYRAMID is the longest prospective adalimumab study in routine clinical practice, with up to 6 years of follow-up. No new safety signals were reported. The pre-specified registry objective of ruling out a doubling of lymphoma risk with adalimumab was met.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".