Literature DB >> 11641579

Systematic review of prognostic models in patients with acute stroke.

C Counsell1, M Dennis.   

Abstract

Prognostic models in stroke may be useful in clinical practice and research. We systematically reviewed the methodology and results of studies that have identified independent predictors of survival, independence in activities of daily living, and getting home in patients with acute stroke. Eligible studies (published in full in English) included at least 100 patients in whom at least 3 predictor variables were assessed within 30 days of stroke onset and who were followed up for at least 30 days. We recorded 25 indicators of the validity and practicality of each model and identified variables that were consistent independent predictors of each outcome. Eighty-three separate prognostic models were found but most had potentially serious deficiencies in internal and statistical validity, many had limited generalisability, and none had been adequately validated. Only 4 studies met 8 simple quality criteria. Over 150 different predictor variables have been analysed but most were assessed in only 1 or 2 models. None of the existing prognostic models have been sufficiently well developed and validated to be useful in either clinical practice or research. Better quality models must be produced to enable, for example, adequate case-mix correction when comparing outcome among different groups of stroke patients. Copyright 2001 S. Karger AG, Basel

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Year:  2001        PMID: 11641579     DOI: 10.1159/000047699

Source DB:  PubMed          Journal:  Cerebrovasc Dis        ISSN: 1015-9770            Impact factor:   2.762


  50 in total

1.  Reliability of the variables in a new set of models that predict outcome after stroke.

Authors:  N U Weir; C E Counsell; M McDowall; A Gunkel; M S Dennis
Journal:  J Neurol Neurosurg Psychiatry       Date:  2003-04       Impact factor: 10.154

2.  External validity of risk models: Use of benchmark values to disentangle a case-mix effect from incorrect coefficients.

Authors:  Yvonne Vergouwe; Karel G M Moons; Ewout W Steyerberg
Journal:  Am J Epidemiol       Date:  2010-08-31       Impact factor: 4.897

3.  Admission blood glucose and short term survival in primary intracerebral haemorrhage: a population based study.

Authors:  R Fogelholm; K Murros; A Rissanen; S Avikainen
Journal:  J Neurol Neurosurg Psychiatry       Date:  2005-03       Impact factor: 10.154

4.  Effective Reserve: A Latent Variable to Improve Outcome Prediction in Stroke.

Authors:  Markus D Schirmer; Mark R Etherton Md PhD; Adrian V Dalca PhD; Anne-Katrin Giese Md; Lisa Cloonan MSc; Ona Wu PhD; Polina Golland PhD; Natalia S Rost Md Mph Faan
Journal:  J Stroke Cerebrovasc Dis       Date:  2018-09-28       Impact factor: 2.136

Review 5.  Opportunities and challenges in developing risk prediction models with electronic health records data: a systematic review.

Authors:  Benjamin A Goldstein; Ann Marie Navar; Michael J Pencina; John P A Ioannidis
Journal:  J Am Med Inform Assoc       Date:  2016-05-17       Impact factor: 4.497

Review 6.  Developing Risk Prediction Models for Postoperative Pancreatic Fistula: a Systematic Review of Methodology and Reporting Quality.

Authors:  Zhang Wen; Ya Guo; Banghao Xu; Kaiyin Xiao; Tao Peng; Minhao Peng
Journal:  Indian J Surg       Date:  2016-01-23       Impact factor: 0.656

7.  Brain Connectivity Measures Improve Modeling of Functional Outcome After Acute Ischemic Stroke.

Authors:  Sofia Ira Ktena; Markus D Schirmer; Mark R Etherton; Anne-Katrin Giese; Carissa Tuozzo; Brittany B Mills; Daniel Rueckert; Ona Wu; Natalia S Rost
Journal:  Stroke       Date:  2019-09-12       Impact factor: 7.914

8.  Selection of anterior circulation acute stroke patients for mechanical thrombectomy.

Authors:  Fabrizio Sallustio; Nicola Toschi; Alfredo Paolo Mascolo; Federico Marrama; Daniele Morosetti; Valerio Da Ros; Roberto Gandini; Fana Alemseged; Giacomo Koch; Marina Diomedi
Journal:  J Neurol       Date:  2019-07-03       Impact factor: 4.849

9.  Diastolic myocardial dysfunction by tissue Doppler imaging predicts mortality in patients with cerebral infarction.

Authors:  Flemming J Olsen; Peter G Jørgensen; Rasmus Møgelvang; Jan S Jensen; Thomas Fritz-Hansen; Jan Bech; Jacob Sivertsen; Tor Biering-Sørensen
Journal:  Int J Cardiovasc Imaging       Date:  2015-07-21       Impact factor: 2.357

10.  Predicting functional outcome in acute stroke: comparison of a simple six variable model with other predictive systems and informal clinical prediction.

Authors:  C Counsell; M Dennis; M McDowall
Journal:  J Neurol Neurosurg Psychiatry       Date:  2004-03       Impact factor: 10.154

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