期刊
NEUROCRITICAL CARE
卷 18, 期 1, 页码 143-153出版社
HUMANA PRESS INC
DOI: 10.1007/s12028-012-9792-z
关键词
Clinical prediction models; Outcome; Subarachnoid hemorrhage; Systematic review
资金
- Canadian Institutes for Health Research
- Physicians Services Incorporated Foundation
- National Institutes of Health
- Brain Aneurysm Foundation
- Integra
- Heart and Stroke Foundation of Canada
- Canadian Stroke Network
- Medical Research Council UK
- Cerecyte Coil Trial
- Canadian Institutes of Health Research
- Ontario Ministry of Research and Innovation
- Netherlands Thrombosis Foundation
- Netherlands Heart Foundation
- Hong Kong Food and Health Bureau
- Hong Kong University Grant Committee
- Medical Research Council [G0700479] Funding Source: researchfish
- MRC [G0700479] Funding Source: UKRI
Clinical prediction models can enhance clinical decision-making and research. However, available prediction models in aneurysmal subarachnoid hemorrhage (aSAH) are rarely used. We evaluated the methodological validity of SAH prediction models and the relevance of the main predictors to identify potentially reliable models and to guide future attempts at model development. We searched the EMBASE, MEDLINE, and Web of Science databases from January 1995 to June 2012 to identify studies that reported clinical prediction models for mortality and functional outcome in aSAH. Validated methods were used to minimize bias. Eleven studies were identified; 3 developed models from datasets of phase 3 clinical trials, the others from single hospital records. The median patient sample size was 340 (interquartile range 149-733). The main predictors used were age (n = 8), Fisher grade (n = 6), World Federation of Neurological Surgeons grade (n = 5), aneurysm size (n = 5), and Hunt and Hess grade (n = 3). Age was consistently dichotomized. Potential predictors were prescreened by univariate analysis in 36 % of studies. Only one study was penalized for model optimism. Details about model development were often insufficiently described and no published studies provided external validation. While clinical prediction models for aSAH use a few simple predictors, there are substantial methodological problems with the models and none have had external validation. This precludes the use of existing models for clinical or research purposes. We recommend further studies to develop and validate reliable clinical prediction models for aSAH.
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