Time to compare impact and feasibility of prediction models in real life

BMJ (Online)

Volumn 345, Issue 7864, 2012, Pages

  Noble, Douglas ^a   Dent, Tom ^b   Greenhalgh, Trisha ^a  

^a QUEEN MARY UNIVERSITY OF LONDON   (United Kingdom)

^b PHG FOUNDATION   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; ANALYTIC METHOD; CARDIOVASCULAR DISEASE; CLINICAL PRACTICE; INTERMETHOD COMPARISON; LETTER; NON INSULIN DEPENDENT DIABETES MELLITUS; PREDICTION; PRIORITY JOURNAL; RISK PREDICTION MODEL; SCORING SYSTEM; STATISTICAL MODEL; HUMAN; NOTE; THEORETICAL MODEL;

CARDIOVASCULAR DISEASES; HUMANS; MODELS, THEORETICAL;

EID: 84863566129     PISSN: None     EISSN: 17561833     Source Type: Journal    
DOI: 10.1136/bmj.e4357     Document Type: Letter

References (2)

1. Siontis GCM, Tzoulaki I, Siontis KC, Ioannidis JPA. Comparisons of established risk prediction models for cardiovascular disease: systematic review. BMJ 2012;344:e3318. (24 May.)
2. Noble D, Mathur R, Dent T, Meads C, Greenhalgh T. Risk models and scores for type 2 diabetes: systematic review. BMJ 2011;343:d7163.