Meta-analysis of Clinical Studies of Diagnostic Tests Developments in How the Receiver Operating Characteristic "Works"

被引:8
|
作者
Hurley, James [1 ]
机构
[1] Univ Melbourne, Melbourne Med Sch, Rural Hlth Acad Ctr, Ballarat, Vic 3350, Australia
关键词
GRAM-NEGATIVE BACTEREMIA; ROC CURVES; SPECTRUM BIAS; TEST ACCURACY; ENDOTOXEMIA; PERFORMANCE; LIMITATIONS; REGRESSION; REVIEWS; MODELS;
D O I
10.5858/arpa.2011-0016-SO
中图分类号
R446 [实验室诊断]; R-33 [实验医学、医学实验];
学科分类号
1001 ;
摘要
Meta-analytic summaries are needed on clinical studies of diagnostic tests. Meta-analyses on clinical studies of diagnostic tests commonly use the receiver operating characteristic method, which differs conceptually and computationally from the more widely known meta-analytic methods applicable in other contexts, such as in studies of randomized controlled trials. Important conceptual differences for clinical studies of diagnostic tests versus randomized controlled trials are that the study subpopulations are not defined by random allocation and the test threshold typically varies across studies to accommodate "rule in" versus "rule out" testing strategies. The receiver operating characteristic method has evolved substantially in the past decade, and the most recent approaches use multilevel regression methods that require iterative computational solutions to estimate the influence of the study-level variables. Using current methodology, a meta-analysis on clinical studies of diagnostic tests can address questions relevant to the clinical application of a diagnostic test that cannot be answered at the level of the individual study. (Arch Pathol Lab Med. 2011; 135:1585-1590; doi:10.5858/arpa.2011-0016-SO)
引用
收藏
页码:1585 / 1590
页数:6
相关论文
共 50 条
  • [1] A Bayesian Hierarchical Summary Receiver Operating Characteristic Model for Network Meta-Analysis of Diagnostic Tests
    Lian, Qinshu
    Hodges, James S.
    Chu, Haitao
    JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2019, 114 (527) : 949 - 961
  • [2] Associating explanatory variables with summary receiver operating characteristic curves in diagnostic meta-analysis
    Hamza, Taye Hussein
    van Houwelingen, Hans C.
    Heijenbrok-Kal, Majanka H.
    Stijnen, Theo
    JOURNAL OF CLINICAL EPIDEMIOLOGY, 2009, 62 (12) : 1284 - 1291
  • [3] Evaluation of Diagnostic Tests: Receiver Operating Characteristic Curves
    Baicus, Cristian
    Hristea, Adriana
    Baicus, Anda
    REVISTA ROMANA DE MEDICINA DE LABORATOR, 2011, 19 (03): : 303 - 306
  • [4] Principles and practical application of the receiver-operating characteristic analysis for diagnostic tests
    Greiner, M
    Pfeiffer, D
    Smith, RD
    PREVENTIVE VETERINARY MEDICINE, 2000, 45 (1-2) : 23 - 41
  • [5] A SIMPLE METHOD FOR THE USE OF RECEIVER OPERATING CHARACTERISTIC ANALYSIS OF DIAGNOSTIC-TESTS
    MANU, P
    CLINICAL RESEARCH, 1983, 31 (03): : A685 - A685
  • [6] Receiver-operating characteristic analysis for evaluating diagnostic tests and predictive models
    Zou, Kelly H.
    O'Malley, A. James
    Mauri, Laura
    CIRCULATION, 2007, 115 (05) : 654 - 657
  • [7] Summary receiver operating characteristic curve analysis techniques in the evaluation of diagnostic tests
    Jones, CM
    Athanasiou, T
    ANNALS OF THORACIC SURGERY, 2005, 79 (01): : 16 - 20
  • [8] PERFORMANCE OF SCREENING AND DIAGNOSTIC-TESTS - APPLICATION OF RECEIVER OPERATING CHARACTERISTIC ANALYSIS
    MURPHY, JM
    BERWICK, DM
    WEINSTEIN, MC
    BORUS, JF
    BUDMAN, SH
    KLERMAN, GL
    ARCHIVES OF GENERAL PSYCHIATRY, 1987, 44 (06) : 550 - 555
  • [9] RECEIVER OPERATING CHARACTERISTIC ANALYSIS OF DIAGNOSTIC SKILL
    BERWICK, DM
    THIBODEAU, LA
    MEDICAL CARE, 1983, 21 (09) : 876 - 885
  • [10] Understanding diagnostic tests 3: receiver operating characteristic curves
    Akobeng, Anthony K.
    ACTA PAEDIATRICA, 2007, 96 (05) : 644 - 647