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Enregistrement W379374868 · doi:10.1182/blood.v124.21.5527.5527

Impact of Transition to Generic Imatinib in the Molecular Response Among Patients with Chronic Myeloid Leukemia

2014· article· en· W379374868 sur OpenAlexaffabout
Matthew Kang, Anargyros Xenocostas, Alejandro Lazo‐Langner, Ian Chin‐Yee, Kang Howson‐Jan, Maisam Abouzeenni, Michael J. Kovacs, Cyrus C. Hsia

Notice bibliographique

RevueBlood · 2014
Typearticle
Langueen
DomaineMedicine
ThématiqueChronic Myeloid Leukemia Treatments
Établissements canadiensWestern UniversityLondon Health Sciences Centre
Organismes subventionnairesnon disponible
Mots-clésImatinibImatinib mesylateMedicineMyeloid leukemiaInternal medicineTyrosine-kinase inhibitorOncologyPharmacologyCancer

Résumé

récupéré en direct d'OpenAlex

Abstract Background: The introduction of Imatinib Mesylate (Gleevec™), a tyrosine kinase inhibitor (TKI), has revolutionized the management of Chronic Myeloid Leukemia (CML). Recently, on April 2, 2013, Health Canada approved two generic versions of imatinib mesylate (Apotex and TEVA) for sale in Canada—both of which, have been shown to be bioequivalent to the brand name Gleevec™, with similar serum imatinib levels and area under the curve after oral ingestion. In one of the largest case series reported to date (N=126), it has been reported that complete hematologic response (CHR) was lost in 33% of CML patients who were switched from brand name to generic imatinib. In an effort to assess the generalizability of this claim, we conducted a retrospective review of all patients with CML treated with Gleevec™ at a single tertiary care centre to evaluate whether there was a change in CHR or major molecular responses (MMR) in all patients who were switched to generic imatinib. Method: We retrospectively evaluated adult CML patients who were treated from January 1, 2002 to December 2011 with brand name Imatinib (Gleevec™) and were switched to generic imatinib (Apotex or TEVA) during 2013. Patient-reported side effect profiles were also collected in a subset of patients before and after the change from Gleevec™ to generic. A follow-up period was defined as 12 months from the time of switch from brand name to generic. The primary outcome was a composite of rates of loss of CHR and/or MMR, based on the Canadian Consensus Group of the Management of Chronic Myelogneous Leukemia (CCGM-CML). Secondary outcome include side effect profiles, graded as per the National Cancer Institute (NCI) Common Terminology Criteria for Adverse Events (CTCAE), during the follow-up period. Results: During our study period, a total 71 adult CML patients were identified. Of these, only 30 patients were included in the analysis. Among the 41 patients who were excluded, data could not be retrieved in 23 (32.4%), 9 (12.7%) were on dasatinib, 3 (4.2%) were on nilotinib, 2 (2.8%) were transplanted and 4 (5.6%) had died at the time of the switch. Data was collected using electronic medical records from patient clinic visits. The median age of all included patients was 54 years and 16 (53.3%) were male. The primary endpoint was seen in 2 of 30 patients (6.7%; 95% CI 3.5-25.6). There was a loss of MMR in 1 (3.3%) where the BCR-ABL transcript declined from a 4.19 log reduction to a 2.78 log reduction after switching to TEVA-imatinib. There was a loss of CHR in 1 (3.3%) patient, where a 20 g/L drop in hemoglobin was seen after switching to APO-imatinib. In both patients in whom the primary endpoint was seen, their imatinib dose was 200 mg before and after switching. Further, in both patients, these losses of response were transient. The secondary outcomes will be presented at the meeting. Conclusion: The generic formulations of imatinib used in Canada do not seem to be associated with the same previously reported lack of clinical efficacy when compared to brand name Gleevec™ during a follow-up period of 12 months. Further, a loss of MMR and a loss of CHR were transient in the 2 of 30 patients identified. Despite these infrequent events, treating physicians should consider that a switch to a generic formulation may be a contributing factor for the patient’s loss of MMR or CHR. However, given the wide confidence intervals, larger studies and longer follow up are needed to address this issue. Disclosures No relevant conflicts of interest to declare.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,004
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,002
Score d'incertitude au seuil0,006

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,004
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0010,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,006
Tête enseignante GPT0,238
Écart entre enseignants0,232 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations6
Publié2014
Routes d'admission2
Résumé présentoui

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