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Prognosis Research Strategy (PROGRESS) 2: Prognostic Factor Research
PLoS Medicine · 2013 · Vol. 10(2) · pp. e1001380–e1001380
Richard D Riley✉(University of Birmingham)Jill A. Hayden(Dalhousie University)Ewout W. Steyerberg(Erasmus MC)Karel G.M. Moons(University Medical Center Utrecht)Keith R. Abrams(University of Leicester)P. Kyzas(North Manchester General Hospital)Núria Malats(Spanish National Cancer Research Centre)Andrew Briggs(University of Glasgow)Sara SchroterDouglas G. Altman(University of Oxford)Harry Hemingway(University College London)for the PROGRESS Group
Abstract
Prognostic factor research aims to identify factors associated with subsequent clinical outcome in people with a particular disease or health condition. In this article, the second in the PROGRESS series, the authors discuss the role of prognostic factors in current clinical practice, randomised trials, and developing new interventions, and explain why and how prognostic factor research should be improved.
Meta-analysis and systematic reviewsChronic Disease Management StrategiesFrailty in Older AdultsMedicineClinical trialPsychological interventionIntensive care medicineImpact factorDiseaseClinical researchRisk factorInternal medicine
MeSH terms
Decision Support TechniquesHealth Services ResearchHumansPredictive Value of TestsPrognosisResearch DesignRisk FactorsBiomarkersRandomized Controlled Trials as TopicTreatment OutcomeDisease ProgressionRisk AssessmentBiomedical Research
Funding
- Wellcome
- Queen Mary University of London
- National Institute for Social Care and Health Research
- London School of Hygiene and Tropical Medicine
- Wellcome Trust
- Nova Scotia Health Research Foundation
- Cancer Research UK
- National Institute for Health and Care Research
- British Heart Foundation
- University of Birmingham
- Dalhousie University
- Center for Translational Molecular Medicine
- Canadian Institutes of Health Research
- Medical Research Council
- Engineering and Physical Sciences Research Council
- Economic and Social Research Council
Citations
794
FWCI
48.65
field-weighted impact
References
71
Percentile
100%
vs. same field & year
Citations per year
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References
REporting recommendations for tumour MARKer prognostic studies (REMARK)
British Journal of Cancer · 2005 · 1,372 citations
Dangers of Using "Optimal" Cutpoints in the Evaluation of Prognostic Factors
JNCI Journal of the National Cancer Institute · 1994 · 1,124 citations
Dichotomizing continuous predictors in multiple regression: a bad idea
Statistics in Medicine · 2005 · 2,163 citations
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