Network meta-analysis of diagnostic test accuracy studies identifies and ranks the optimal diagnostic tests and thresholds for health care policy and decision-making

Journal of Clinical Epidemiology

Volumn 99, Issue , 2018, Pages 64-74

  Owen, Rhiannon K ^a   Cooper, Nicola J ^a   Quinn, Terence J ^b   Lees, Rosalind ^b   Sutton, Alex J ^a  

^a UNIVERSITY OF LEICESTER   (United Kingdom)

^b UNIVERSITY OF GLASGOW   (United Kingdom)

Author keywords

Diagnostic test accuracy; Meta analysis; Multiple tests; Multiple thresholds; Network meta analysis

Indexed keywords

ARTICLE; CEREBROVASCULAR ACCIDENT; COGNITIVE DEFECT; DECISION MAKING; DIAGNOSTIC ACCURACY; HEALTH CARE POLICY; HUMAN; MARKOV CHAIN; META ANALYSIS; MINI MENTAL STATE EXAMINATION; MONTE CARLO METHOD; MONTREAL COGNITIVE ASSESSMENT; NETWORK META-ANALYSIS; PRIORITY JOURNAL; CLASSIFICATION; CLINICAL DECISION MAKING; COMPARATIVE STUDY; COMPLICATION; DEMENTIA ASSESSMENT; DIAGNOSTIC TEST; DIFFERENTIAL DIAGNOSIS; NEUROPSYCHOLOGICAL TEST;

CLINICAL DECISION-MAKING; COGNITIVE DYSFUNCTION; DIAGNOSIS, DIFFERENTIAL; DIAGNOSTIC TESTS, ROUTINE; HEALTH POLICY; HUMANS; MARKOV CHAINS; MENTAL STATUS AND DEMENTIA TESTS; MONTE CARLO METHOD; NETWORK META-ANALYSIS; NEUROPSYCHOLOGICAL TESTS; STROKE;

EID: 85044948118     PISSN: 08954356     EISSN: 18785921     Source Type: Journal    
DOI: 10.1016/j.jclinepi.2018.03.005     Document Type: Article

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