MétaCan
Menu
Retour à la cohorte
Enregistrement W2110046944 · doi:10.1200/jco.2008.21.0534

Efficacy Does Not Necessarily Translate to Cost Effectiveness: A Case Study in the Challenges Associated With 21st-Century Cancer Drug Pricing

2009· letter· en· W2110046944 sur OpenAlexaboutno aff
Bruce E. Hillner, Thomas J. Smith

Notice bibliographique

RevueJournal of Clinical Oncology · 2009
Typeletter
Langueen
DomaineMedicine
ThématiqueCancer Treatment and Pharmacology
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineCancer drugsDrugDrug pricingCancerIntensive care medicineOncologyPharmacologyInternal medicineActuarial science

Résumé

récupéré en direct d'OpenAlex

All countries are struggling with the financial burden associated with cancer and its treatment. Worldwide, drugs associated with cancer care are estimated to cost approximately $40 billion per year. In the United States, cancer drugs represent the second biggest category of overall pharmaceutical sales, growing at double the overall market; in 2007 alone, sales increased by approximately 14%. Seventy percent of these sales come from products introduced in the last decade and 30% in the last 5 years. Currently, there are about 100 new molecules in phase III trials. Remember that figure—100 new molecules. While Journal of Clinical Oncology (JCO) predominantly focuses on clinical advances, its readership and its editorial team are increasingly aware that economic evaluations have an important role in contributing to the overall evolution of cancer care. In this issue of JCO, Reed et al report a cost-effectiveness analysis based on a randomized trial previously reported in JCO that assessed ixabepilone plus capecitabine (I C) compared with capecitabine alone for patients with metastatic breast cancer progressing after anthracycline and taxane treatment. Herein, we try to interpret this report in light of the recent JCO editorial guidance. The first question is whether a clinical question is important, relevant, and timely. We believe the answer for I C is a resounding yes. This is another advance in treatment for patients with metastatic breast cancer, joining the taxanes, aromatase inhibitors, and targeted therapies. The rapid adoption of these therapies by cancer providers shows successful translation from effectiveness in the research setting to efficacy in the wider general population. Overall survival in patients with metastatic breast cancer is increasing. In British Columbia, overall survival improved from approximately 14.5 months for those diagnosed in 1991 to approximately 22 months for women diagnosed in 2001. Further increases are likely given the near-universal use of taxanes. While advanced breast cancer is not curable, many oncologists are suggesting that it should be considered a chronic disease, with patients potentially rotating thorough five or more types of treatment. Managing breast cancer as a chronic disease is both complex— especially when prior adjuvant therapies is considered—and expensive. For hormone receptor–negative or refractory human epidermal growth factor receptor 2–negative disease, the National Comprehensive Cancer Network preferred regimens include nine different single agents and nine different combination therapies. Despite these initial options, most patients and their oncologists have narrower choices if further therapy is considered after prior treatment with anthracyclines and taxanes. For this situation, if treatment is offered, practice guidelines in the United States, Canada, and Britain all agree that singleagent capecitabine is the preferred therapy. Therefore, adding a drug like ixabepilone might help. Select clinical features and efficacy results from the reported randomized controlled trial of I C are noteworthy: patients were young (median age, 53 years), had good performance status, and the treatment was second line in approximately 50% and third line in 40%. Eighty-five percent of patients had received taxanes for metastatic disease, and in approximately 40%, progressive disease was the best response to prior taxanes. The primary end point of progressionfree survival improved by a median of 1.6 months (n 752) in the registration trial and 1.5 months (n 1,221) in the confirmatory trial. Overall survival increased by 1.8 and 0.8 months, respectively, but these were not statistically significant even in light of their sample sizes, and these data have only been only in abstract form. There are numerous strengths to the design, technical components, and data quality in the economic assessment. The investigators were academics not involved in the conduct of the trial, had negotiated full control of the design and reporting of the analysis, and had developed their analysis plan before trial completion. The investigators had access to patient level information relevant to medical resource use while on trial and some data after active treatment. Lastly, the economic analysis includes information excluded from the randomized clinical trial report on patient quality of life. The Health Utility Index is a widely use quality-of-life instrument to estimate the value of life in various health states. Therefore, different rates of costs and utility values were assigned to patients based on four levels of response to therapy. For the economic analysis, the investigators had to use a variety of survival projections since the data available was censored at the point of last follow-up (January 2007), and 36% of patients were alive. This common practice of a drug sponsor not sharing the most recent or complete data made modeling necessary and led to a less transparent report. In the model, Reed et al estimated an overall survival benefit of 2.0 months; this may be an overestimate by at least 10%. The authors did not account for the 17% of patients in the I C arm who got JOURNAL OF CLINICAL ONCOLOGY E D I T O R I A L VOLUME 27 NUMBER 13 MAY 1 2009

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,007
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesIntégrité de la recherche
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,423
Score d'incertitude au seuil0,996

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0070,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0040,001
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0010,006
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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 Opus0,160
Tête enseignante GPT0,504
Écart entre enseignants0,344 · 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 tête enseignante, pas un consensus.

Devis d'étudeSans objet
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

Citations118
Publié2009
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueJournal of Clinical OncologyMême sujetCancer Treatment and PharmacologyTravaux en français237 207