An algorithm for the classification of study designs to assess diagnostic, prognostic and predictive test accuracy in systematic reviews.
Diagnosis prognosis
Diagnostic accuracy
Prediction
Sensitivity
Specificity
Study design classification
Journal
Systematic reviews
ISSN: 2046-4053
Titre abrégé: Syst Rev
Pays: England
ID NLM: 101580575
Informations de publication
Date de publication:
03 09 2019
03 09 2019
Historique:
received:
10
01
2019
accepted:
13
08
2019
entrez:
5
9
2019
pubmed:
5
9
2019
medline:
15
9
2020
Statut:
epublish
Résumé
Results of medical tests are the main source to inform clinical decision making. The main information to assess the usefulness of medical tests for correct discrimination of patients are accuracy measures. For the estimation of test accuracy measures, many different study designs can be used. The study design is related to the clinical question to be answered (diagnosis, prognosis, prediction), determines the accuracy measures that can be calculated and it might have an influence on risk of bias. Therefore, a clear and consistent distinction of the different study designs in systematic reviews on test accuracy studies is very important. In this paper, we propose an algorithm for the classification of study designs of test accuracy, that compare the results of an index test (the test to be evaluated) with the results of a reference test (the test whose results are considered as correct/the gold standard) studies in systematic reviews.
Identifiants
pubmed: 31481098
doi: 10.1186/s13643-019-1131-4
pii: 10.1186/s13643-019-1131-4
pmc: PMC6720081
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
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