Literature DB >> 29933439

Understanding and Communicating Measures of Treatment Effect on Survival: Can We Do Better?

Everardo D Saad1, John R Zalcberg2, Julien Péron3,4, Elisabeth Coart1, Tomasz Burzykowski1,5, Marc Buyse5,6.   

Abstract

Time-to-event end points are the most frequent primary end points in phase III oncology trials, both in the adjuvant and advanced settings. The evaluation of these end points is important to inform clinical practice. However, although different measures can be used to describe the effect of treatment on these end points, we believe that any treatment benefit in a given trial is best reported using various absolute and relative measures. Our goal is to help clinicians understand the strengths and limitations of the traditional and novel measures used to denote the effect of treatment in randomized trials. Although none of these measures can reliably predict the outcome of individual patients, some measures could be added to the commonly used hazard ratio to provide a more patient-oriented assessment of treatment benefit. In particular, the difference of mean survival times quantifies the average survival benefit for a patient receiving a new treatment compared with a patient treated with standard of care, whereas the net benefit quantifies the probability of a patient receiving the new treatment to live longer by at least m months (for any number of months m of interest) than a patient receiving the standard treatment. We encourage statisticians and clinical scientists to include various measures of treatment benefit in the reports of phase III trials, acknowledging that different clinical situations may call for different measures of treatment effect. By using the various available measures, we may better inform ourselves and communicate results to our patients.

Entities:  

Mesh:

Year:  2018        PMID: 29933439     DOI: 10.1093/jnci/djx179

Source DB:  PubMed          Journal:  J Natl Cancer Inst        ISSN: 0027-8874            Impact factor:   13.506


  11 in total

1.  Methods for Accommodating Nonproportional Hazards in Clinical Trials: Ready for the Primary Analysis?

Authors:  Boris Freidlin; Edward L Korn
Journal:  J Clin Oncol       Date:  2019-10-24       Impact factor: 44.544

2.  Stratified Restricted Mean Survival Time Model for Marginal Causal Effect in Observational Survival Data.

Authors:  Ai Ni; Zihan Lin; Bo Lu
Journal:  Ann Epidemiol       Date:  2021-10-04       Impact factor: 3.797

3.  Restricted mean survival time regression model with time-dependent covariates.

Authors:  Chengfeng Zhang; Baoyi Huang; Hongji Wu; Hao Yuan; Yawen Hou; Zheng Chen
Journal:  Stat Med       Date:  2022-06-23       Impact factor: 2.497

4.  Two-sample survival probability curves: A graphical approach for the analysis of time to event data in clinical trials.

Authors:  Sandra Castro-Pearson; Chap T Le; Xianghua Luo
Journal:  Contemp Clin Trials       Date:  2022-02-14       Impact factor: 2.261

5.  Excess Body Fatness during Early to Mid-Adulthood and Survival from Colorectal and Breast Cancer: A Pooled Analysis of Five International Cohort Studies.

Authors:  Hadrien Charvat; Heinz Freisling; Hwayoung Noh; Mia M Gaudet; Marc J Gunter; Amanda J Cross; Konstantinos K Tsilidis; Anne Tjønneland; Verena Katzke; Manuela Bergmann; Claudia Agnoli; Charlotta Rylander; Guri Skeie; Paula Jakszyn; Ann H Rosendahl; Malin Sund; Gianluca Severi; Shoichiro Tsugane; Norie Sawada; Hermann Brenner; Hans-Olov Adami; Elisabete Weiderpass; Isabelle Soerjomataram; Melina Arnold
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2021-11-15       Impact factor: 4.090

6.  Restricted survival benefit with right-censored data.

Authors:  Shixiao Zhang; Michael L LeBlanc; Ying-Qi Zhao
Journal:  Biom J       Date:  2021-12-30       Impact factor: 1.715

7.  Novel Risk Modeling Approach of Atrial Fibrillation With Restricted Mean Survival Times: Application in the Framingham Heart Study Community-Based Cohort.

Authors:  Laila Staerk; Sarah R Preis; Honghuang Lin; Juan P Casas; Kathryn Lunetta; Lu-Chen Weng; Christopher D Anderson; Patrick T Ellinor; Steven A Lubitz; Emelia J Benjamin; Ludovic Trinquart
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2020-03-31

8.  Assessment of Treatment Effects and Long-term Benefits in Immune Checkpoint Inhibitor Trials Using the Flexible Parametric Cure Model: A Systematic Review.

Authors:  Thomas Filleron; Marine Bachelier; Julien Mazieres; Maurice Pérol; Nicolas Meyer; Elodie Martin; Fanny Mathevet; Jean-Yves Dauxois; Raphael Porcher; Jean-Pierre Delord
Journal:  JAMA Netw Open       Date:  2021-12-01

9.  Comparison of radiation exposure between endoscopic ultrasound-guided drainage and transpapillary drainage by endoscopic retrograde cholangiopancreatography for pancreatobiliary diseases.

Authors:  Mamoru Takenaka; Makoto Hosono; Madan M Rehani; Yasutaka Chiba; Rei Ishikawa; Ayana Okamoto; Tomohiro Yamazaki; Atsushi Nakai; Shunsuke Omoto; Kosuke Minaga; Ken Kamata; Kentaro Yamao; Shiro Hayashi; Tsutomu Nishida; Masatoshi Kudo
Journal:  Dig Endosc       Date:  2021-08-19       Impact factor: 6.337

10.  Smoking cessation and survival among people diagnosed with non-metastatic cancer.

Authors:  Tracey E Barnett; Yan Lu; Aaron W Gehr; Bassam Ghabach; Rohit P Ojha
Journal:  BMC Cancer       Date:  2020-08-05       Impact factor: 4.430

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