Persistence with Generic Imatinib for Chronic Myeloid Leukemia: A Matched Cohort Study
Bibliographic record
Abstract
Background: Generic imatinib (GI) has been approved for use in Canada and other countries based on bioequivalence. A high rate of GI discontinuation has been reported to be related to intolerance (Islamagic E, et al. Clin Lymphoma Myeloma Leuk. 2017;17:238) but no clinical studies have been conducted to determine whether GI is clinically comparable to branded imatinib (BI) for chronic myeloid leukemia (CML). In Quebec, GI was approved and reimbursed in early 2013 and was mandated to replace BI for patients with public drug coverage later the same year. We compared persistence on GI to that on BI in a matched cohort study. Methods: Patients who started GI between 2013 and 2016 were selected from the Quebec CML registry. Each was matched with a BI user who had recorded use of BI at the same calendar date, had the closest duration of prior BI use and closest age. In both cohorts, patients who previously received therapy other than imatinib for their CML were excluded. Matched pairs were followed until switch in therapy, death, withdrawal of consent or end of study (31 December 2016). Kaplan-Meier curves were constructed to evaluate persistence, defined as time until switch in therapy, between GI and BI users. Cox proportional hazards models were used to estimate hazard ratios (HRs) with 95% confidence intervals (CIs) for treatment discontinuation or switch with GI, comparing GI with BI, adjusting for sex, obesity, smoking, alcohol consumption, and Charlson comorbidity index. Results: A total of 167 matched pairs were included; mean age (SD) and mean duration (SD) of prior BI therapy was similar between GI and BI users (57.2 (14.4) and 58.3 (13.4) years and 6.1 (4.2) and 5.7 (4.5), respectively). At 42 months, 72.8% (95% CI, 63.4.5%-81.7%) of GI users and 88.9% (95% CI, 82.8%-93.6%) of BI users persisted with their TKI (Figure, P= 0.03). Overall, GI use was associated with an increased risk of switch (HR, 2.13; 95% CI, 1.18-3.86), compared with BI. In GI users, 36 patients switched therapy, 11 for suboptimal response (defined as loss of response, including loss of MMR or failure to achieve a milestone) and 25 for intolerance, which included 21 switching back to BI. Most (63.5%) of the switches occurred in the first year of GI use, and most for intolerance (66.7%, n=24). Of note, there were seven grade 3 adverse events in GI users (fatigue, weakness, nausea and vomiting, diarrhea, muscle cramps). Among BI users, 17 patients switched for suboptimal response (n=8), and intolerance (n=9). Of note, in GI and BI users respectively, 13 and 4 patients stopped therapy in deep molecular response. Discussion: In this matched cohort study with close to 4 years of follow-up, GI users were twice more likely to stop their TKI than users of BI users, marking lower persistence. In most terminations of GI use, the patients reverted to BI, and intolerance was the main cause for TKI switch. Future studies are warranted to investigate the safety profile of GI. Disclosures Busque: Pfizer: Honoraria; Paladin: Honoraria; Bristol Myer Squibb: Honoraria; Novartis Canada Inc.: Honoraria. Assouline: Novartis Canada Inc.: Honoraria; Bristol Myer Squibb: Speakers Bureau; Pfizer: Speakers Bureau; Paladin: Speakers Bureau; Janssen: Honoraria.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".