Bibliographic record
Abstract
Background: The European Union and Canada have approved generic imatinib for the treatment of chronic myeloid leukaemia (EU). Anecdotal evidence suggests that generic imatinib performs less well than brand-name imatinib. MEDLINE and EMBASE were searched as methods. The European Medicines Agency (EMA) and Health Canada-approved generic imatinib product monographs were examined. We contacted Novartis, Teva, and Apotex's medical information. Results: A number of issues have been brought up. First, generic imatinib approved outside of Canada and the EU has been linked to inconsistent results in two case series and lower efficacy in minor case reports. However, it is unclear whether these generic products' clinical bioequivalence has been established. Second, there have been concerns raised about generic imatinib's use in different populations. However, compared to adults with chronic myeloid leukaemia, imatinib absorption is not significantly different in children with chronic myeloid leukaemia or in patients with gastrointestinal tumours. Even though there have been reports of reduced absorption following gastric bypass and gastrectomy, the majority of imatinib is absorbed in the ileum, duodenum, colon, and jejunum. It has also been demonstrated that changes in stomach acidity have no impact on imatinib absorption. At room temperature, the beta-crystal form of brand-name imatinib is more stable than the alpha-crystal form of generic imatinib. However, the EMA discovered that both crystal forms were extremely soluble and that polymorphism would not materially affect the efficacy of generic imatinib.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 0.006 |
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".