Literature DB >> 18644911

Prognostic models.

Peter M Rothwell1.   

Abstract

An appreciation of prognosis is essential for effective clinical practice, in neurology as in other fields. Predicting risk of a poor outcome in individuals, or at least in well-defined groups of individuals, is necessary to properly inform patients about what the future holds for them, and the likely benefits of treatment. Despite the various pitfalls in the derivation and validation of prognostic models (or scores), there are an increasing number of useful models available to help patients and clinicians in routine neurology practice. This article considers how such models are best derived, and how their reliability should be assessed, drawing on examples from various different neurological disorders.

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Year:  2008        PMID: 18644911     DOI: 10.1136/jnnp.2008.153619

Source DB:  PubMed          Journal:  Pract Neurol        ISSN: 1474-7758


  5 in total

1.  A model predicting perforation and complications in paediatric appendicectomy.

Authors:  Obinna Obinwa; Colin Peirce; Michael Cassidy; Tom Fahey; John Flynn
Journal:  Int J Colorectal Dis       Date:  2015-01-23       Impact factor: 2.571

2.  Predicting risk of perioperative death and stroke after carotid endarterectomy in asymptomatic patients: derivation and validation of a clinical risk score.

Authors:  Linda Calvillo-King; Lei Xuan; Song Zhang; Stanley Tuhrim; Ethan A Halm
Journal:  Stroke       Date:  2010-11-04       Impact factor: 7.914

Review 3.  Reporting and methods in clinical prediction research: a systematic review.

Authors:  Walter Bouwmeester; Nicolaas P A Zuithoff; Susan Mallett; Mirjam I Geerlings; Yvonne Vergouwe; Ewout W Steyerberg; Douglas G Altman; Karel G M Moons
Journal:  PLoS Med       Date:  2012-05-22       Impact factor: 11.069

4.  A simplified approach to the pooled analysis of calibration of clinical prediction rules for systematic reviews of validation studies.

Authors:  Borislav D Dimitrov; Nicola Motterlini; Tom Fahey
Journal:  Clin Epidemiol       Date:  2015-04-16       Impact factor: 4.790

5.  A systematic review of methodological quality of model development studies predicting prognostic outcome for resectable pancreatic cancer.

Authors:  Alison Bradley; Robert Van Der Meer; Colin J McKay
Journal:  BMJ Open       Date:  2019-08-21       Impact factor: 2.692

  5 in total

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