Progression-free survival, disease-free survival and other composite end points in oncology: improved reporting is needed.


Journal

Nature reviews. Clinical oncology
ISSN: 1759-4782
Titre abrégé: Nat Rev Clin Oncol
Pays: England
ID NLM: 101500077

Informations de publication

Date de publication:
Dec 2023
Historique:
accepted: 18 09 2023
medline: 20 11 2023
pubmed: 13 10 2023
entrez: 12 10 2023
Statut: ppublish

Résumé

Composite outcome measures such as progression-free survival and disease-free survival are increasingly used as surrogate end points in oncology research, frequently serving as the primary end point of pivotal trials that form the basis for FDA and EMA approvals. Such outcome measures combine two or more distinct events (for example, tumour (re)growth, new lesions and/or death) into a single, time-to-event end point. The use of a composite end point can increase the statistical power of a clinical trial and decrease the follow-up period required to demonstrate efficacy, thus lowering costs; however, these end points have a number of limitations. Composite outcomes are often vaguely defined, with definitions that vary greatly between studies, complicating comparisons of results across trials. Altering the makeup of events included in a composite outcome can alter study conclusions, including whether treatment effects are statistically significant. Moreover, the events included in a composite outcome often vary in clinical significance, reflect distinct biological pathways and/or are affected differently by treatment. Therefore, knowing the precise breakdown of the component events is essential to accurately interpret trial results and gauge the true benefit of an intervention. In oncology clinical trials, however, such information is rarely provided. In this Perspective, we emphasize this deficiency through a review of 50 studies with progression-free survival as an outcome published in five top oncology journals, discuss the advantages and challenges of using composite end points, and highlight the need for transparent reporting of the component events.

Identifiants

pubmed: 37828154
doi: 10.1038/s41571-023-00823-5
pii: 10.1038/s41571-023-00823-5
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

885-895

Informations de copyright

© 2023. This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply.

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Auteurs

Anushka Walia (A)

School of Medicine, University of California, San Francisco, San Francisco, CA, USA. anushka.walia@ucsf.edu.

Jordan Tuia (J)

Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA.

Vinay Prasad (V)

Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA.

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