Clinical predictive models of invasive Candida infection: A systematic literature review.

ABSTRACT: Clinical predictive models (CPM) serve to identify and categorize patients into risk categories to assist in treatment and intervention recommendations. Predictive accuracy and practicality of models varies depending on methods used for their development, and should be evaluated. The aim of this study was to summarize currently available CPM for invasive candidiasis, analyze their performance, and assess their suitability for use in clinical decision making. We identified studies that described the construction of a CPM for invasive candidiasis from PubMed/MEDLINE, EMBASE, SCOPUS, Web of Science, Cochrane Library databases, and Clinicaltrials.gov. Data extracted included: author, data source, study design, recruitment period, characteristics of study population, outcome types, predictor ty

SUBMITTER: Rauseo AM 

PROVIDER: S-EPMC8604268 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature