Free access to Research Synthesis Methods paper on meta-analysis of prognostic studies


  • Author: Statistics Views, Eiji Sadashima, Satoshi Hattori, Kunihiko Takahashi
  • Date: 12 September 2016
  • Copyright: © John Wiley & Sons Ltd

Each week, we select a recently published article and provide free access. This week's is from Research Synthesis Methods and is available from Early View.

To read the article in full, please click the link below:

Meta-analysis of prognostic studies for a biomarker with a study-specific cutoff value

Eiji Sadashima, Satoshi Hattori, Kunihiko Takahashi

Research Synthesis Methods, Early View

DOI: 10.1002/jrsm.1201

thumbnail image: Free access to Research Synthesis Methods paper on meta-analysis of prognostic studies

In prognostic studies, a summary statistic such as a hazard ratio is often reported between low-expression and high-expression groups of a biomarker with a study-specific cutoff value. Recently, several meta-analyses of prognostic studies have been reported, but these studies simply combined hazard ratios provided by the individual studies, overlooking the fact that the cutoff values are study-specific. The authors of this paper propose a method to summarize hazard ratios with study-specific cutoff values by estimating the hazard ratio for a 1-unit change of the biomarker in the underlying individual-level model. To this end, they introduce a model for a relationship between a reported log-hazard ratio for a 1-unit expected difference in the mean biomarker value between the low-expression and high-expression groups, which approximates the individual-level model, and propose to make an inference of the model by using the method for trend estimation based on grouped exposure data. Their combined estimator provides a valid interpretation if the biomarker distribution is correctly specified. The authors applied their proposed method to a dataset that examined the association between the biomarker Ki-67 and disease-free survival in breast cancer patients.

Related Topics

Related Publications

Related Content

Site Footer


This website is provided by John Wiley & Sons Limited, The Atrium, Southern Gate, Chichester, West Sussex PO19 8SQ (Company No: 00641132, VAT No: 376766987)

Published features on are checked for statistical accuracy by a panel from the European Network for Business and Industrial Statistics (ENBIS)   to whom Wiley and express their gratitude. This panel are: Ron Kenett, David Steinberg, Shirley Coleman, Irena Ograjenšek, Fabrizio Ruggeri, Rainer Göb, Philippe Castagliola, Xavier Tort-Martorell, Bart De Ketelaere, Antonio Pievatolo, Martina Vandebroek, Lance Mitchell, Gilbert Saporta, Helmut Waldl and Stelios Psarakis.