Prognosis Research Strategy (PROGRESS) 3: Prognostic Model Research

被引:1001
作者
Steyerberg, Ewout W. [1 ]
Moons, Karel G. M. [2 ]
van der Windt, Danielle A. [3 ]
Hayden, Jill A. [4 ]
Perel, Pablo [5 ]
Schroter, Sara [6 ]
Riley, Richard D. [7 ]
Hemingway, Harry [8 ]
Altman, Douglas G. [9 ]
机构
[1] Erasmus MC, Dept Publ Hlth, Rotterdam, Netherlands
[2] UMC Utrecht, Julius Ctr Hlth Sci & Primary Care, Utrecht, Netherlands
[3] Keele Univ, Arthrit Res UK Primary Care Ctr, Keele ST5 5BG, Staffs, England
[4] Dalhousie Univ, Dept Community Hlth & Epidemiol, Halifax, NS, Canada
[5] Univ London London Sch Hyg & Trop Med, London WC1E 7HT, England
[6] BMJ, London, England
[7] Univ Birmingham, Sch Hlth & Populat Sci, Birmingham, W Midlands, England
[8] UCL, Dept Epidemiol & Publ Hlth, London, England
[9] Univ Oxford, Ctr Stat Med, Oxford, England
基金
英国医学研究理事会; 加拿大健康研究院; 英国惠康基金; 英国经济与社会研究理事会; 英国工程与自然科学研究理事会;
关键词
TRAUMATIC BRAIN-INJURY; CLINICAL-PREDICTION RULES; LOW-BACK-PAIN; RANDOMIZED CONTROLLED-TRIALS; EXTERNAL VALIDATION; COST-EFFECTIVENESS; REGRESSION-MODELS; STATISTICAL POWER; BREAST-CANCER; SAMPLE-SIZE;
D O I
10.1371/journal.pmed.1001381
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Prognostic models are abundant in the medical literature yet their use in practice seems limited. In this article, the third in the PROGRESS series, the authors review how such models are developed and validated, and then address how prognostic models are assessed for their impact on practice and patient outcomes, illustrating these ideas with examples.
引用
收藏
页数:9
相关论文
共 84 条
[1]   Prognostic Models: A Methodological Framework and Review of Models for Breast Cancer [J].
Altman, Douglas G. .
CANCER INVESTIGATION, 2009, 27 (03) :235-243
[2]   Prognosis and prognostic research: validating a prognostic model [J].
Altman, Douglas G. ;
Vergouwe, Yvonne ;
Royston, Patrick ;
Moons, Karel G. M. .
BMJ-BRITISH MEDICAL JOURNAL, 2009, 338 :1432-1435
[3]  
[Anonymous], 2008, Multivariable model-building: a pragmatic approach to regression analysis based on fractional polynomials for modelling continuous variables
[4]   THE NOTTINGHAM-PROGNOSTIC-INDEX APPLIED TO 9,149 PATIENTS FROM THE STUDIES OF THE DANISH-BREAST-CANCER-COOPERATIVE-GROUP (DBCG) [J].
BALSLEV, I ;
AXELSSON, CK ;
ZEDELER, K ;
RASMUSSEN, BB ;
CARSTENSEN, B ;
MOURIDSEN, HT .
BREAST CANCER RESEARCH AND TREATMENT, 1994, 32 (03) :281-290
[5]   External validation is necessary in, prediction research: A clinical example [J].
Bleeker, SE ;
Moll, HA ;
Steyerberg, EW ;
Donders, ART ;
Derksen-Lubsen, G ;
Grobbee, DE ;
Moons, KGM .
JOURNAL OF CLINICAL EPIDEMIOLOGY, 2003, 56 (09) :826-832
[6]   Added predictive value of high-throughput molecular data to clinical data and its validation [J].
Boulesteix, Anne-Laure ;
Sauerbrei, Willi .
BRIEFINGS IN BIOINFORMATICS, 2011, 12 (03) :215-229
[7]   Developing risk prediction models for type 2 diabetes: a systematic review of methodology and reporting [J].
Collins, Gary S. ;
Mallett, Susan ;
Omar, Omar ;
Yu, Ly-Mee .
BMC MEDICINE, 2011, 9
[8]   Assessing the Incremental Role of Novel and Emerging Risk Factors [J].
Cook N.R. .
Current Cardiovascular Risk Reports, 2010, 4 (2) :112-119
[9]   Systematic review of prognostic models in patients with acute stroke [J].
Counsell, C ;
Dennis, M .
CEREBROVASCULAR DISEASES, 2001, 12 (03) :159-170
[10]   Patient outcome after traumatic brain injury in high-, middle- and low-income countries: analysis of data on 8927 patients in 46 countries [J].
De Silva, Mary J. ;
Roberts, Ian ;
Perel, Pablo ;
Edwards, Phil ;
Kenward, Michael G. ;
Fernandes, Janice ;
Shakur, Haleema ;
Patel, Vikram .
INTERNATIONAL JOURNAL OF EPIDEMIOLOGY, 2009, 38 (02) :452-458