Literature DB >> 22290283

Hazard ratios in cancer clinical trials--a primer.

Krastan B Blagoev1, Julia Wilkerson, Tito Fojo.   

Abstract

The increase and diversity of clinical trial data has resulted in a greater reliance on statistical analyses to discern value. Assessing differences between two similar survival curves can pose a challenge for those without formal training in statistical interpretation; therefore, there has been an increased reliance on hazard ratios often to the exclusion of more-traditional survival measures. However, because a hazard ratio lacks dimensions it can only inform the reader about the reliability and uniformity of the data. It does not provide practitioners with quantitative values they can use, nor does it provide information they can discuss with patients. Motivated by a non-scientific poll of oncologists in training and those with board certification that suggested only a limited understanding of the derivation of hazard ratios we undertook this presentation of hazard ratios: a measure of treatment efficacy that is increasingly used and often misused.

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Year:  2012        PMID: 22290283      PMCID: PMC7457144          DOI: 10.1038/nrclinonc.2011.217

Source DB:  PubMed          Journal:  Nat Rev Clin Oncol        ISSN: 1759-4774            Impact factor:   66.675


  10 in total

Review 1.  Time-dependent covariates in the Cox proportional-hazards regression model.

Authors:  L D Fisher; D Y Lin
Journal:  Annu Rev Public Health       Date:  1999       Impact factor: 21.981

2.  Everolimus in postmenopausal hormone-receptor-positive advanced breast cancer.

Authors:  José Baselga; Mario Campone; Martine Piccart; Howard A Burris; Hope S Rugo; Tarek Sahmoud; Shinzaburo Noguchi; Michael Gnant; Kathleen I Pritchard; Fabienne Lebrun; J Thaddeus Beck; Yoshinori Ito; Denise Yardley; Ines Deleu; Alejandra Perez; Thomas Bachelot; Luc Vittori; Zhiying Xu; Pabak Mukhopadhyay; David Lebwohl; Gabriel N Hortobagyi
Journal:  N Engl J Med       Date:  2011-12-07       Impact factor: 91.245

3.  Evaluating a new marker's predictive contribution.

Authors:  Michael W Kattan
Journal:  Clin Cancer Res       Date:  2004-02-01       Impact factor: 12.531

4.  Stratification by a multivariate confounder score.

Authors:  O S Miettinen
Journal:  Am J Epidemiol       Date:  1976-12       Impact factor: 4.897

5.  Sorafenib in advanced clear-cell renal-cell carcinoma.

Authors:  Bernard Escudier; Tim Eisen; Walter M Stadler; Cezary Szczylik; Stéphane Oudard; Michael Siebels; Sylvie Negrier; Christine Chevreau; Ewa Solska; Apurva A Desai; Frédéric Rolland; Tomasz Demkow; Thomas E Hutson; Martin Gore; Scott Freeman; Brian Schwartz; Minghua Shan; Ronit Simantov; Ronald M Bukowski
Journal:  N Engl J Med       Date:  2007-01-11       Impact factor: 91.245

6.  Sunitinib versus interferon alfa in metastatic renal-cell carcinoma.

Authors:  Robert J Motzer; Thomas E Hutson; Piotr Tomczak; M Dror Michaelson; Ronald M Bukowski; Olivier Rixe; Stéphane Oudard; Sylvie Negrier; Cezary Szczylik; Sindy T Kim; Isan Chen; Paul W Bycott; Charles M Baum; Robert A Figlin
Journal:  N Engl J Med       Date:  2007-01-11       Impact factor: 91.245

7.  Evaluation of survival data and two new rank order statistics arising in its consideration.

Authors:  N Mantel
Journal:  Cancer Chemother Rep       Date:  1966-03

8.  Sunitinib malate for the treatment of pancreatic neuroendocrine tumors.

Authors:  Eric Raymond; Laetitia Dahan; Jean-Luc Raoul; Yung-Jue Bang; Ivan Borbath; Catherine Lombard-Bohas; Juan Valle; Peter Metrakos; Denis Smith; Aaron Vinik; Jen-Shi Chen; Dieter Hörsch; Pascal Hammel; Bertram Wiedenmann; Eric Van Cutsem; Shem Patyna; Dongrui Ray Lu; Carolyn Blanckmeister; Richard Chao; Philippe Ruszniewski
Journal:  N Engl J Med       Date:  2011-02-10       Impact factor: 91.245

9.  Everolimus for advanced pancreatic neuroendocrine tumors.

Authors:  James C Yao; Manisha H Shah; Tetsuhide Ito; Catherine Lombard Bohas; Edward M Wolin; Eric Van Cutsem; Timothy J Hobday; Takuji Okusaka; Jaume Capdevila; Elisabeth G E de Vries; Paola Tomassetti; Marianne E Pavel; Sakina Hoosen; Tomas Haas; Jeremie Lincy; David Lebwohl; Kjell Öberg
Journal:  N Engl J Med       Date:  2011-02-10       Impact factor: 91.245

10.  The hazards of hazard ratios.

Authors:  Miguel A Hernán
Journal:  Epidemiology       Date:  2010-01       Impact factor: 4.822

  10 in total
  13 in total

Review 1.  Cancer drug development: The missing links.

Authors:  Ajaikumar B Kunnumakkara; Devivasha Bordoloi; Bethsebie Lalduhsaki Sailo; Nand Kishor Roy; Krishan Kumar Thakur; Kishore Banik; Mehdi Shakibaei; Subash C Gupta; Bharat B Aggarwal
Journal:  Exp Biol Med (Maywood)       Date:  2019-04-08

2.  Adjusted restricted mean survival times in observational studies.

Authors:  Sarah C Conner; Lisa M Sullivan; Emelia J Benjamin; Michael P LaValley; Sandro Galea; Ludovic Trinquart
Journal:  Stat Med       Date:  2019-05-22       Impact factor: 2.373

3.  Changes in plasma lipids predict pravastatin efficacy in secondary prevention.

Authors:  Kaushala S Jayawardana; Piyushkumar A Mundra; Corey Giles; Christopher K Barlow; Paul J Nestel; Elizabeth H Barnes; Adrienne Kirby; Peter Thompson; David R Sullivan; Zahir H Alshehry; Natalie A Mellett; Kevin Huynh; Malcolm J McConville; Sophia Zoungas; Graham S Hillis; John Chalmers; Mark Woodward; Ian C Marschner; Gerard Wong; Bronwyn A Kingwell; John Simes; Andrew M Tonkin; Peter J Meikle
Journal:  JCI Insight       Date:  2019-07-11

4.  A novel analytical framework for risk stratification of real-world data using machine learning: A small cell lung cancer study.

Authors:  Luca Marzano; Adam S Darwich; Salomon Tendler; Asaf Dan; Rolf Lewensohn; Luigi De Petris; Jayanth Raghothama; Sebastiaan Meijer
Journal:  Clin Transl Sci       Date:  2022-07-29       Impact factor: 4.438

5.  Potential Bias Associated with Modeling the Effectiveness of Healthcare Interventions in Reducing Mortality Using an Overall Hazard Ratio.

Authors:  Fernando Alarid-Escudero; Karen M Kuntz
Journal:  Pharmacoeconomics       Date:  2020-03       Impact factor: 4.981

Review 6.  An Introduction to Survival Statistics: Kaplan-Meier Analysis.

Authors:  William N Dudley; Rita Wickham; Nicholas Coombs
Journal:  J Adv Pract Oncol       Date:  2016-01-01

7.  Germination Data Analysis by Time-to-Event Approaches.

Authors:  Alessandro Romano; Piergiorgio Stevanato
Journal:  Plants (Basel)       Date:  2020-05-12

8.  MCM4 Is a Novel Biomarker Associated With Genomic Instability, BRCAness Phenotype, and Therapeutic Potentials in Soft-Tissue Sarcoma.

Authors:  Qi Liu; Qiyuan Bao; Yiqi Xu; Yucheng Fu; Zhijian Jin; Jun Wang; Weibin Zhang; Yuhui Shen
Journal:  Front Cell Dev Biol       Date:  2021-06-10

9.  Early Benefit Assessments in Oncology in Germany: How Can a Clinically Relevant Endpoint Not Be Relevant to Patients?

Authors:  Jörg Ruof; Olivier Flückiger; Niko Andre
Journal:  Drugs R D       Date:  2015-09

Review 10.  Survival Analysis and Interpretation of Time-to-Event Data: The Tortoise and the Hare.

Authors:  Patrick Schober; Thomas R Vetter
Journal:  Anesth Analg       Date:  2018-09       Impact factor: 5.108

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