Literature DB >> 25333417

Why post-progression survival and post-relapse survival are not appropriate measures of efficacy in cancer randomized clinical trials.

Xabier García-Albéniz1, Joan Maurel, Miguel A Hernán.   

Abstract

Comparisons of post-relapse survival (PRS) and post-progression survival have been used to measure efficacy in some cancer clinical trials. These comparisons are an attempt to account for second-line therapies and to identify benefits that do not translate in longer overall survival. However, the use of PRS comparisons can be misleading (either a longer or shorter PRS may indicate a benefit, depending on the circumstances) and can result in biased estimates (because of selection). Here, we describe the problems surrounding PRS comparisons and propose alternative approaches to deal with non-randomized therapies administered after progression to the experimental treatment.
© 2014 UICC.

Entities:  

Keywords:  bias; clinical trials; post-progression survival; post-relapse survival

Mesh:

Year:  2014        PMID: 25333417      PMCID: PMC4355231          DOI: 10.1002/ijc.29278

Source DB:  PubMed          Journal:  Int J Cancer        ISSN: 0020-7136            Impact factor:   7.396


  19 in total

1.  Correcting for noncompliance and dependent censoring in an AIDS Clinical Trial with inverse probability of censoring weighted (IPCW) log-rank tests.

Authors:  J M Robins; D M Finkelstein
Journal:  Biometrics       Date:  2000-09       Impact factor: 2.571

2.  Quantifying biases in causal models: classical confounding vs collider-stratification bias.

Authors:  Sander Greenland
Journal:  Epidemiology       Date:  2003-05       Impact factor: 4.822

3.  A structural approach to selection bias.

Authors:  Miguel A Hernán; Sonia Hernández-Díaz; James M Robins
Journal:  Epidemiology       Date:  2004-09       Impact factor: 4.822

4.  The relationship between progression-free and post-progression survival in treating four types of metastatic cancer.

Authors:  Russell J Bowater; Luke J Bridge; Richard J Lilford
Journal:  Cancer Lett       Date:  2008-01-02       Impact factor: 8.679

5.  Causal diagrams for epidemiologic research.

Authors:  S Greenland; J Pearl; J M Robins
Journal:  Epidemiology       Date:  1999-01       Impact factor: 4.822

6.  Estimating absolute risks in the presence of nonadherence: an application to a follow-up study with baseline randomization.

Authors:  Sengwee Toh; Sonia Hernández-Díaz; Roger Logan; James M Robins; Miguel A Hernán
Journal:  Epidemiology       Date:  2010-07       Impact factor: 4.822

7.  Sipuleucel-T immunotherapy for castration-resistant prostate cancer.

Authors:  Philip W Kantoff; Celestia S Higano; Neal D Shore; E Roy Berger; Eric J Small; David F Penson; Charles H Redfern; Anna C Ferrari; Robert Dreicer; Robert B Sims; Yi Xu; Mark W Frohlich; Paul F Schellhammer
Journal:  N Engl J Med       Date:  2010-07-29       Impact factor: 91.245

8.  Trastuzumab beyond progression: overall survival analysis of the GBG 26/BIG 3-05 phase III study in HER2-positive breast cancer.

Authors:  Gunter von Minckwitz; Kathrin Schwedler; Marcus Schmidt; Jana Barinoff; Christoph Mundhenke; Tanja Cufer; Eduard Maartense; Felix E de Jongh; Klaus H Baumann; Joachim Bischoff; Nadia Harbeck; Hans-Joachim Lück; Nicolai Maass; Christoph Zielinski; Michael Andersson; Robert C Stein; Valentina Nekljudova; Sibylle Loibl
Journal:  Eur J Cancer       Date:  2011-07-07       Impact factor: 9.162

Review 9.  Overall survival and post-progression survival in advanced breast cancer: a review of recent randomized clinical trials.

Authors:  Everardo D Saad; Artur Katz; Marc Buyse
Journal:  J Clin Oncol       Date:  2010-03-01       Impact factor: 44.544

10.  Survival after relapse in patients with endometrial cancer: results from a randomized trial.

Authors:  Carien L Creutzberg; Wim L J van Putten; Peter C Koper; Marnix L M Lybeert; Jan J Jobsen; Carla C Wárlám-Rodenhuis; Karin A J De Winter; Ludy C H W Lutgens; Alfons C M van den Bergh; Elzbieta van der Steen-Banasik; Henk Beerman; Mat van Lent
Journal:  Gynecol Oncol       Date:  2003-05       Impact factor: 5.482

View more
  6 in total

1.  Estimation of Transition Probabilities for State-Transition Models: A Review of NICE Appraisals.

Authors:  Tushar Srivastava; Nicholas R Latimer; Paul Tappenden
Journal:  Pharmacoeconomics       Date:  2021-05-19       Impact factor: 4.981

2.  Authors' Reply to Schoenfeld: "Progression-Free Survival as a Surrogate for Overall Survival in Clinical Trials of Targeted Therapy in Advanced Solid Tumors".

Authors:  Stefan Michiels; Everardo D Saad; Marc Buyse
Journal:  Drugs       Date:  2017-07       Impact factor: 9.546

3.  Oncology Modeling for Fun and Profit! Key Steps for Busy Analysts in Health Technology Assessment.

Authors:  Jaclyn Beca; Don Husereau; Kelvin K W Chan; Neil Hawkins; Jeffrey S Hoch
Journal:  Pharmacoeconomics       Date:  2018-01       Impact factor: 4.981

Review 4.  Clinical significance of post-progression survival in lung cancer.

Authors:  Hisao Imai; Kyoichi Kaira; Koichi Minato
Journal:  Thorac Cancer       Date:  2017-06-19       Impact factor: 3.500

Review 5.  When underlying biology threatens the randomization principle - initial gout flares of urate-lowering therapy.

Authors:  Hyon K Choi; Yuqing Zhang; Nicola Dalbeth
Journal:  Nat Rev Rheumatol       Date:  2022-07-25       Impact factor: 32.286

6.  Genetic heterogeneity and prognostic impact of recurrent ANK2 and TP53 mutations in mantle cell lymphoma: a multi-centre cohort study.

Authors:  Seri Jeong; Yu Jin Park; Woobin Yun; Seung-Tae Lee; Jong Rak Choi; Cheolwon Suh; Jae-Cheol Jo; Hee Jeong Cha; Jee-Yeong Jeong; HeeKyung Chang; Yoon Jin Cha; Hyerim Kim; Min-Jeong Park; Wonkeun Song; Eun-Hae Cho; Eun-Goo Jeong; Junnam Lee; Yongmin Park; Yong Seok Lee; Da Jung Kim; Ho Sup Lee
Journal:  Sci Rep       Date:  2020-08-07       Impact factor: 4.379

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.