Literature DB >> 2768728

Future imperfect: the limitations of clinical prediction models and the limits of clinical prediction.

G A Diamond1.   

Abstract

Stepwise regression procedures are often used to identify a small set of variables that serve as important predictors of clinical outcome and to construct prediction models based on those variables. Several theoretical and practical limitations of this process are discussed and highlighted with a variety of examples from published reports. Wider appreciation of these limitations should encourage the development of more relevant models, and thereby improve the quality of clinical prediction.

Mesh:

Year:  1989        PMID: 2768728     DOI: 10.1016/0735-1097(89)90157-5

Source DB:  PubMed          Journal:  J Am Coll Cardiol        ISSN: 0735-1097            Impact factor:   24.094


  9 in total

Review 1.  Perioperative care of the vascular surgery patient: the perspective of the internist.

Authors:  R Granieri; D S Macpherson
Journal:  J Gen Intern Med       Date:  1992 Jan-Feb       Impact factor: 5.128

2.  Diagnostic and prognostic exercise electrocardiography: what can nuclear cardiology gain from insights from the exercise laboratory--challenge and speculation.

Authors:  B R Chaitman; D D Miller
Journal:  J Nucl Cardiol       Date:  1995 May-Jun       Impact factor: 5.952

3.  Comparison of diagnostic decision rules and structured data collection in assessment of acute ankle injury.

Authors:  Afina S Glas; Bas A C M Pijnenburg; Jeroen G Lijmer; Kjell Bogaard; Roos Marnix A J de; Johannes N Keeman; Rudolf M J M Butzelaar; Patrick M M Bossuyt
Journal:  CMAJ       Date:  2002-03-19       Impact factor: 8.262

4.  Using electronic medical records to predict mortality in primary care patients with heart disease: prognostic power and pathophysiologic implications.

Authors:  W M Tierney; B Y Takesue; D L Vargo; X H Zhou
Journal:  J Gen Intern Med       Date:  1996-02       Impact factor: 5.128

5.  Continuous assessment and improvement in quality of care. A model from the Department of Veterans Affairs Cardiac Surgery.

Authors:  K E Hammermeister; R Johnson; G Marshall; F L Grover
Journal:  Ann Surg       Date:  1994-03       Impact factor: 12.969

Review 6.  Prognostic indicators in hepatocellular carcinoma: a systematic review of 72 studies.

Authors:  Puneeta Tandon; Guadalupe Garcia-Tsao
Journal:  Liver Int       Date:  2008-12-24       Impact factor: 5.828

7.  Predicting Stroke Risk Based on Health Behaviours: Development of the Stroke Population Risk Tool (SPoRT).

Authors:  Douglas G Manuel; Meltem Tuna; Richard Perez; Peter Tanuseputro; Deirdre Hennessy; Carol Bennett; Laura Rosella; Claudia Sanmartin; Carl van Walraven; Jack V Tu
Journal:  PLoS One       Date:  2015-12-04       Impact factor: 3.240

8.  Measuring Burden of Unhealthy Behaviours Using a Multivariable Predictive Approach: Life Expectancy Lost in Canada Attributable to Smoking, Alcohol, Physical Inactivity, and Diet.

Authors:  Douglas G Manuel; Richard Perez; Claudia Sanmartin; Monica Taljaard; Deirdre Hennessy; Kumanan Wilson; Peter Tanuseputro; Heather Manson; Carol Bennett; Meltem Tuna; Stacey Fisher; Laura C Rosella
Journal:  PLoS Med       Date:  2016-08-16       Impact factor: 11.069

9.  Assessing the Prognostic Performance of the Child-Pugh, Model for End-Stage Liver Disease, and Albumin-Bilirubin Scores in Patients with Decompensated Cirrhosis: A Large Asian Cohort from Gastroenterology Department.

Authors:  Si-Zhe Wan; Yuan Nie; Yue Zhang; Cong Liu; Xuan Zhu
Journal:  Dis Markers       Date:  2020-02-15       Impact factor: 3.434

  9 in total

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