A123 INCREASING TIME ON TREATMENT IS PREDICTIVE OF IMPROVED LONG-TERM RETENTION FOR STABLE REMICADE® (INFLIXIMAB) INFLAMMATORY BOWEL DISEASE PATIENTS IN CANADA
Bibliographic record
Abstract
Many patients treated with anti-TNF agents discontinue therapy. The objective of this analysis was to determine the long-term retention patterns of stable Canadian IBD patients treated with REMICADE® (infliximab [IFX]). Using IMS Brogan™ Canadian private and public insurance claims data, our analysis included IBD patients with: (1) first IFX claim between Jan 2008-May 2015; (2) no IFX claims 12 months prior to the initial claim; (3) ≥1 claim for any other drug 12 months after the initial IFX claim; and (4) ≥1 claim for any non-IFX drug 4 months after May 2015. Retention was measured at 12-month intervals and unadjusted odds ratios were determined. Within-group analyses compared 12 month retention by number of years on IFX and compared subgroups of patients according to age group, gender, prior biologic experience, region (private claims only) and insurance type. 4,360 patients had ≥2 years of claims history and had been on IFX for ≥1 year. Within-group comparisons showed that the probability of being retained on IFX in subsequent 12 month periods increased with cumulative time on IFX. Patients on IFX for 2–5 years showed significantly higher retention in the subsequent 12 months compared to patients on IFX for only 1 year (P<0.05). Similar trends were observed across when stratified by gender and insurance type, as well as in patients in Ontario, aged 19–64 years, and those who were biologic-naïve. Annual retention up to and including 5 years was significantly better for patients who were publicly insured, and lived in Ontario and Eastern Canada when compared to patients who were privately insured, and lived in British Columbia, respectively. Real world patients treated with IFX have excellent long-term treatment retention. Previous duration of IFX treatment appears to predict better future retention, becoming statistically significant after 2 years. The results were robust and consistent amongst various subgroups of stable Canadian IBD patients. Odds of Being Retained (Odds Ratio) p value<0.05 unless noted otherwise NoneJanssen Inc.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".