BACKGROUND: The clinical assessment of @entity1 with @entity662 of recent onset remains difficult. This study presents a critical review of clinical predictive tools for the assessment of @entity1 with @entity662 . METHODS: Systematic review of observational studies and estimation of probabilities of @entity453 ( @entity453 ) in @entity1 with @entity662 . Searches were conducted in PubMed, Embase, Scopus, and Web of Science to identify studies reporting tools, with at least three variables from clinical history, physical examination or ECG, produced with multivariate analysis, to estimate probabilities of @entity453 in @entity1 with @entity662 of recent onset, published from inception of the database to the 31st July 2015. The references of previous relevant reviews were hand searched. The methodological quality was assessed with standard criteria. Since the incidence of @entity453 has changed in the past few decades, the date of publication was acknowledged to be relevant in order to use the tool in clinical practice, and more recent papers were considered more relevant. Probabilities of @entity453 according to the studies of highest quality were estimated and the evidence provided was graded. RESULTS: Twelve papers were included out of the 19126 references initially identified. The methodological quality of all of them was high. The clinical characteristics of the @entity662 , age, past medical history of @entity65 , gender, and abnormalities in the ECG were the predictors of @entity453 most commonly reported across the studies. The most recent papers, with highest methodological quality, and most practical for use in clinical settings, reported prediction or exclusion of @entity453 with area under the curve 0.90 in Primary Care, 0.91 in Emergency department, and 0.79 in Cardiology. These papers provide evidence of high level (1B) and the recommendation to use their results in the management of @entity1 with @entity662 is strong (A). CONCLUSIONS: The risk of @entity453 can be estimated on clinical grounds in @entity1 with @entity662 in different clinical settings with high accuracy. The estimation of probabilities of @entity453 presented in these studies could be used for a better management of @entity1 with @entity662 and also in the development of future predictive tools.

Clinical assessment of @entity1 with XXXX ; a systematic review of predictive tools.

@entity1 :: ('9606', 'Species') :: ['patients'] @entity453 :: ('MESH:D003324', 'Disease') :: ['CAD', 'coronary artery disease'] @entity662 :: ('MESH:D002637', 'Disease') :: ['chest pain'] @entity65 :: ('MESH:D002318', 'Disease') :: ['cardiovascular disease']
@entity662 :: (MESH:D002637,Disease) :: ['chest pain']
