Assessing the real-world effectiveness of 8 major metastatic breast cancer drugs using target trial emulation.

Causal inference Comparative effectiveness Metastatic breast cancer Overall survival Real-world data Target trial emulation

Journal

European journal of cancer (Oxford, England : 1990)
ISSN: 1879-0852
Titre abrégé: Eur J Cancer
Pays: England
ID NLM: 9005373

Informations de publication

Date de publication:
22 Oct 2024
Historique:
received: 22 08 2024
revised: 14 10 2024
accepted: 15 10 2024
medline: 31 10 2024
pubmed: 31 10 2024
entrez: 30 10 2024
Statut: aheadofprint

Résumé

Demonstration of trial emulation ability to benchmark randomised controlled trials (RCTs) from real-world data (RWD) is required to increase confidence in the use of routinely collected data for decision making in oncology. To assess the frequency with which emulation findings align with RCTs regarding effect size on overall survival (OS) in metastatic breast cancer (MBC), 8 of 13 pre-selected pivotal RCTs in MBC were emulated using data from 32,598 patients enrolled in the French ESME-MBC cohort between January 1, 2008 and December 31, 2021. Adjustment methods and confounders were selected a priori for each emulation; stabilized weight was the reference method to mitigate confounding. Concordance in OS hazard ratios with associated 95 % confidence intervals between RCTs and emulations were assessed used predefined metrics based on statistical significance, estimates, and standardized differences. The effect sizes were consistent with RCT results in 7 out of the 8 emulations; 4 emulations achieved full statistical significance agreement; 5 emulations had a point estimate included in the RCT CI (estimate agreement); 6 emulations reported no significant differences between RCT and emulation (standardized difference agreement). Discrepancies related to residual confounders and significant shifts in prescription practices post-drug approval may arise in some cases. Target trial emulation from RWD combined with appropriate adjustment can provide conclusions similar to RCTs in MBC. In oncology, this methodology offers opportunities for confirming the impact on long-term survival, for expanding indications in patients excluded from RCTs and for comparative effectiveness in single-arm trials using external control arms.

Sections du résumé

BACKGROUND BACKGROUND
Demonstration of trial emulation ability to benchmark randomised controlled trials (RCTs) from real-world data (RWD) is required to increase confidence in the use of routinely collected data for decision making in oncology.
METHODS METHODS
To assess the frequency with which emulation findings align with RCTs regarding effect size on overall survival (OS) in metastatic breast cancer (MBC), 8 of 13 pre-selected pivotal RCTs in MBC were emulated using data from 32,598 patients enrolled in the French ESME-MBC cohort between January 1, 2008 and December 31, 2021. Adjustment methods and confounders were selected a priori for each emulation; stabilized weight was the reference method to mitigate confounding. Concordance in OS hazard ratios with associated 95 % confidence intervals between RCTs and emulations were assessed used predefined metrics based on statistical significance, estimates, and standardized differences.
RESULTS RESULTS
The effect sizes were consistent with RCT results in 7 out of the 8 emulations; 4 emulations achieved full statistical significance agreement; 5 emulations had a point estimate included in the RCT CI (estimate agreement); 6 emulations reported no significant differences between RCT and emulation (standardized difference agreement). Discrepancies related to residual confounders and significant shifts in prescription practices post-drug approval may arise in some cases.
CONCLUSION CONCLUSIONS
Target trial emulation from RWD combined with appropriate adjustment can provide conclusions similar to RCTs in MBC. In oncology, this methodology offers opportunities for confirming the impact on long-term survival, for expanding indications in patients excluded from RCTs and for comparative effectiveness in single-arm trials using external control arms.

Identifiants

pubmed: 39476445
pii: S0959-8049(24)01203-6
doi: 10.1016/j.ejca.2024.115072
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

115072

Informations de copyright

Copyright © 2024. Published by Elsevier Ltd.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Alison Antoine received a grant from the National French Agency for Research and Technology (ANRT) and Roche (France) via CIFRE (“Industrial Agreements for Training through Research”) doctoral fellowship no. 2020/1054. Rémy Choquet and Béchir Ben Hadj Yahia are employed by Roche. Suzette Delaloge is an Associate Editor for [European Journal of Cancer] and was not involved in the editorial review or the decision to publish this article. All remaining authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. The funders had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; or the decision to submit the manuscript for publication.

Auteurs

Alison Antoine (A)

Clinical Research Department, Centre Léon Bérard, Lyon, France; UMR CNRS 5558 LBBE, Claude Bernard Lyon 1 University, Villeurbanne, France. Electronic address: alison.antoine@lyon.unicancer.fr.

David Pérol (D)

Clinical Research Department, Centre Léon Bérard, Lyon, France.

Mathieu Robain (M)

Data Direction, UNICANCER, Paris, France.

Thomas Bachelot (T)

Department of Medical Oncology, Centre Léon Bérard, Lyon, France.

Rémy Choquet (R)

Department of Medical Evidence & Data Science, Roche, Boulogne-Billancourt, France.

William Jacot (W)

Department of Medical Oncology, Institut du Cancer de Montpellier, Montpellier University, INSERM U1194, Montpellier, France.

Béchir Ben Hadj Yahia (B)

Science Department, Roche, Boulogne-Billancourt, France.

Thomas Grinda (T)

Department of Cancer Medicine, Gustave Roussy, Villejuif, France.

Suzette Delaloge (S)

Department of Cancer Medicine, Gustave Roussy, Villejuif, France.

Christine Lasset (C)

UMR CNRS 5558 LBBE, Claude Bernard Lyon 1 University, Villeurbanne, France; Prevention & Public Health Department, Centre Léon Bérard, Lyon, France.

Youenn Drouet (Y)

UMR CNRS 5558 LBBE, Claude Bernard Lyon 1 University, Villeurbanne, France; Prevention & Public Health Department, Centre Léon Bérard, Lyon, France.

Classifications MeSH