Literature DB >> 24925345

Failure of researchers, reviewers, editors, and the media to understand flaws in cancer screening studies: application to an article in Cancer.

Donald A Berry1.   

Abstract

Observational studies present inferential challenges. These challenges are acute in cancer screening studies, in which lead-time and length biases are ever present. These biases can make any study worthless. Moreover, a flawed study's impact on the public can be deleterious when its conclusions are publicized by a naïve media. Flawed studies can also make the public learn to be wary of any article or reports of articles claiming to be scientific. Here, the author addresses these and related issues in the context of a study published in Cancer.
© 2014 American Cancer Society.

Entities:  

Keywords:  cancer screening; efficacy of screening mammography by age; lead-time bias; length bias; observational studies; randomized screening trials; screening mammography

Mesh:

Year:  2014        PMID: 24925345     DOI: 10.1002/cncr.28795

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  8 in total

1.  Mammography, Martin Yaffe, and me: response and appreciation.

Authors:  Constantine Kaniklidis
Journal:  Curr Oncol       Date:  2015-10       Impact factor: 3.677

Review 2.  [Systematic errors in clinical studies : A comprehensive survey].

Authors:  W A Golder
Journal:  Ophthalmologe       Date:  2017-03       Impact factor: 1.059

Review 3.  [Systematic errors in clinical studies : A comprehensive survey].

Authors:  W A Golder
Journal:  Z Rheumatol       Date:  2017-02       Impact factor: 1.372

4.  Quality of screening mammography.

Authors:  James A Dickinson; Roland Grad; Brenda J Wilson; Neil R Bell; Harminder Singh; Guylène Thériault
Journal:  Can Fam Physician       Date:  2019-11       Impact factor: 3.275

5.  How Did CNBSS Influence Guidelines for So Long and What Can That Teach Us?

Authors:  Shushiela Appavoo
Journal:  Curr Oncol       Date:  2022-05-30       Impact factor: 3.109

6.  Lead-time bias in esophageal cancer screening in high-risk areas in China.

Authors:  Zhao Yang; Irene Ol Wong; Wei Deng; Ru Chen; Jiachen Zhou; Wenqiang Wei
Journal:  Chin J Cancer Res       Date:  2020-08       Impact factor: 4.026

7.  Atmospheric fine particulate matter and breast cancer mortality: a population-based cohort study.

Authors:  Giovanna Tagliabue; Alessandro Borgini; Andrea Tittarelli; Aaron van Donkelaar; Randall V Martin; Martina Bertoldi; Sabrina Fabiano; Anna Maghini; Tiziana Codazzi; Alessandra Scaburri; Imma Favia; Alessandro Cau; Giulio Barigelletti; Roberto Tessandori; Paolo Contiero
Journal:  BMJ Open       Date:  2016-11-14       Impact factor: 2.692

8.  At what age should screening mammography be recommended for Asian women?

Authors:  Junko Tsuchida; Masayuki Nagahashi; Omar M Rashid; Kazuaki Takabe; Toshifumi Wakai
Journal:  Cancer Med       Date:  2015-04-27       Impact factor: 4.452

  8 in total

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