Effectiveness, safety, and drug sustainability of biologics in elderly patients with inflammatory bowel disease: A retrospective study
Bibliographic record
Abstract
BACKGROUND: Biologic therapy resulted in a significant positive impact on the management of inflammatory bowel disease (IBD) however data on the efficacy and side effects of these therapies in the elderly is scant. AIM: To evaluate retrospectively the drug sustainability, effectiveness, and safety of the biologic therapies in the elderly IBD population. METHODS: Consecutive elderly (≥ 60 years old) IBD patients, treated with biologics [infliximab (IFX), adalimumab (ADAL), vedolizumab (VDZ), ustekinumab (UST)] followed at the McGill University Inflammatory Bowel Diseases Center were included between January 2000 and 2020. Efficacy was measured by clinical scores at 3, 6-9 and 12-18 mo after initiation of the biologic therapy. Patients completing induction therapy were included. Adverse events (AEs) or serious AE were collected during and within three months of stopping of the biologic therapy. RESULTS: = 0.973) between the four biologics studied. The most common AEs that led to drug discontinuation were loss of response, infusion/injection reaction and infection. CONCLUSION: Current biologics were not different regarding drug sustainability, effectiveness, and safety in the elderly IBD population. Therefore, we are not able to suggest a preferred sequencing order among biologicals.
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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 | 0.003 |
| 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 | 0.000 |
| 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".