Log-Rank Test vs MaxCombo and Difference in Restricted Mean Survival Time Tests for Comparing Survival Under Nonproportional Hazards in Immuno-oncology Trials: A Systematic Review and Meta-analysis.


Journal

JAMA oncology
ISSN: 2374-2445
Titre abrégé: JAMA Oncol
Pays: United States
ID NLM: 101652861

Informations de publication

Date de publication:
01 09 2022
Historique:
pubmed: 22 7 2022
medline: 20 9 2022
entrez: 21 7 2022
Statut: ppublish

Résumé

The log-rank test is considered the criterion standard for comparing 2 survival curves in pivotal registrational trials. However, with novel immunotherapies that often violate the proportional hazards assumptions over time, log-rank can lose power and may fail to detect treatment benefit. The MaxCombo test, a combination of weighted log-rank tests, retains power under different types of nonproportional hazards. The difference in restricted mean survival time (dRMST) test is frequently proposed as an alternative to the log-rank under nonproportional hazard scenarios. To compare the log-rank with the MaxCombo and dRMST in immuno-oncology trials to evaluate their performance in practice. Comprehensive literature review using Google Scholar, PubMed, and other sources for randomized clinical trials published in peer-reviewed journals or presented at major clinical conferences before December 2019 assessing efficacy of anti-programmed cell death protein-1 or anti-programmed death/ligand 1 monoclonal antibodies. Pivotal studies with overall survival or progression-free survival as the primary or key secondary end point with a planned statistical comparison in the protocol. Sixty-three studies on anti-programmed cell death protein-1 or anti-programmed death/ligand 1 monoclonal antibodies used as monotherapy or in combination with other agents in 35 902 patients across multiple solid tumor types were identified. Statistical comparisons (n = 150) were made between the 3 tests using the analysis populations as defined in the original protocol of each trial. Nominal significance based on a 2-sided .05-level test was used to evaluate concordance. Case studies featuring different types of nonproportional hazards were used to discuss more robust ways of characterizing treatment benefit instead of sole reliance on hazard ratios. In this systematic review and meta-analysis of 63 studies including 35 902 patients, between the log-rank and MaxCombo, 135 of 150 comparisons (90%) were concordant; MaxCombo achieved nominal significance in 15 of 15 discordant cases, while log-rank did not. Several cases appeared to have clinically meaningful benefits that would not have been detected using log-rank. Between the log-rank and dRMST tests, 137 of 150 comparisons (91%) were concordant; log-rank was nominally significant in 5 of 13 cases, while dRMST was significant in 8 of 13. Among all 3 tests, 127 comparisons (85%) were concordant. The findings of this review show that MaxCombo may provide a pragmatic alternative to log-rank when departure from proportional hazards is anticipated. Both tests resulted in the same statistical decision in most comparisons. Discordant studies had modest to meaningful improvements in treatment effect. The dRMST test provided no added sensitivity for detecting treatment differences over log-rank.

Identifiants

pubmed: 35862037
pii: 2794629
doi: 10.1001/jamaoncol.2022.2666
pmc: PMC9305601
doi:

Substances chimiques

Antibodies, Monoclonal 0
Ligands 0

Types de publication

Journal Article Meta-Analysis Systematic Review Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1294-1300

Subventions

Organisme : NCI NIH HHS
ID : P30 CA014236
Pays : United States
Organisme : NCI NIH HHS
ID : P50 CA278595
Pays : United States

Commentaires et corrections

Type : CommentIn

Auteurs

Pralay Mukhopadhyay (P)

Otsuka America Pharmaceutical, Inc, Rockville, Maryland.

Jiabu Ye (J)

Merck & Co, Inc, Kenilworth, New Jersey.

Keaven M Anderson (KM)

Merck & Co, Inc, Kenilworth, New Jersey.

Satrajit Roychoudhury (S)

Pfizer Inc, New York, New York.

Eric H Rubin (EH)

Merck & Co, Inc, Kenilworth, New Jersey.

Susan Halabi (S)

Duke Cancer Institute, Duke University, Durham, North Carolina.
Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, North Carolina.

Richard J Chappell (RJ)

Department of Statistics, University of Wisconsin Madison.
Department of Biostatistics and Medical Informatics, University of Wisconsin Madison.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH