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      KCI등재 SCOPUS

      Overview of the Process of Conducting Meta-analyses of the Diagnostic Test Accuracy = Overview of the Process of Conducting Meta-analyses of the Diagnostic Test Accuracy

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      https://www.riss.kr/link?id=A104300404

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      다국어 초록 (Multilingual Abstract)

      Diagnosis is a critical step for clinical treatment. Many individual studies have been conducted to determine the accuracy of various diagnostic tests, but they had small sample sizes and correspondingly inadequate statistical strength. Combining the results from several such studies can help increase the statistical strength and precision of their results. Meta-analysis is a useful tool for evaluating the accuracy of diagnostic tests and can be used to obtain precise estimates when multiple small studies for a given test and subject pool are available. The need for meta-analysis on studies examining diagnostic test accuracy has increased noticeably, and more meta-analyses on diagnostic test accuracy studies are being published. A meta-analysis of diagnostic test accuracy studies differs from a typical meta-analysis because diagnostic test accuracy studies report a pair of statistics, such as sensitivity and specificity, rather than a single statistic. Therefore, meta-analyses of the diagnostic test accuracy need to deal with two summary statistics simultaneously. More complex statistical methods are required for conducting meta-analyses using diagnostic test accuracy studies compared to that required for conventional meta-analysis. This is because the sensitivity and specificity are generally inversely correlated due to a threshold effect, and there is considerable heterogeneity in the results of test accuracy studies. This review provides an overview of the process of meta-analysis of the diagnostic test accuracy. (J Rheum Dis 2018;25:3-10)
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      Diagnosis is a critical step for clinical treatment. Many individual studies have been conducted to determine the accuracy of various diagnostic tests, but they had small sample sizes and correspondingly inadequate statistical strength. Combining the ...

      Diagnosis is a critical step for clinical treatment. Many individual studies have been conducted to determine the accuracy of various diagnostic tests, but they had small sample sizes and correspondingly inadequate statistical strength. Combining the results from several such studies can help increase the statistical strength and precision of their results. Meta-analysis is a useful tool for evaluating the accuracy of diagnostic tests and can be used to obtain precise estimates when multiple small studies for a given test and subject pool are available. The need for meta-analysis on studies examining diagnostic test accuracy has increased noticeably, and more meta-analyses on diagnostic test accuracy studies are being published. A meta-analysis of diagnostic test accuracy studies differs from a typical meta-analysis because diagnostic test accuracy studies report a pair of statistics, such as sensitivity and specificity, rather than a single statistic. Therefore, meta-analyses of the diagnostic test accuracy need to deal with two summary statistics simultaneously. More complex statistical methods are required for conducting meta-analyses using diagnostic test accuracy studies compared to that required for conventional meta-analysis. This is because the sensitivity and specificity are generally inversely correlated due to a threshold effect, and there is considerable heterogeneity in the results of test accuracy studies. This review provides an overview of the process of meta-analysis of the diagnostic test accuracy. (J Rheum Dis 2018;25:3-10)

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      참고문헌 (Reference)

      1 Gotzsche PC, "Why we need a broad perspective on meta-analysis. It may be crucially important for patients" 321 : 585-586, 2000

      2 Pattamapaspong N, "Value of ultrasonography in the diagnosis of gout in patients presenting with acute arthritis" 46 : 759-767, 2017

      3 Naredo E, "Ultrasound-detected musculoskeletal urate crystal deposition: which joints and what findings should be assessed for diagnosing gout?" 73 : 1522-1528, 2014

      4 Terslev L, "Ultrasound as an outcome measure in gout. A validation process by the OMERACT Ultrasound Working Group" 42 : 2177-2181, 2015

      5 Ottaviani S, "Ultrasonography in gout: a case-control study" 30 : 499-504, 2012

      6 Hanley JA, "The meaning and use of the area under a receiver operating characteristic (ROC) curve" 143 : 29-36, 1982

      7 Campbell JM, "The joanna briggs institute reviewers' manual 2015. The systematic review of studies of diagnostic test accuracy" 46-, 2015

      8 Glas AS, "The diagnostic odds ratio: a single indicator of test performance" 56 : 1129-1135, 2003

      9 Leeflang MM, "Systematic reviews of diagnostic test accuracy" 149 : 889-897, 2008

      10 Deeks JJ, "Systematic reviews in health care: Systematic reviews of evaluations of diagnostic and screening tests" 323 : 157-162, 2001

      1 Gotzsche PC, "Why we need a broad perspective on meta-analysis. It may be crucially important for patients" 321 : 585-586, 2000

      2 Pattamapaspong N, "Value of ultrasonography in the diagnosis of gout in patients presenting with acute arthritis" 46 : 759-767, 2017

      3 Naredo E, "Ultrasound-detected musculoskeletal urate crystal deposition: which joints and what findings should be assessed for diagnosing gout?" 73 : 1522-1528, 2014

      4 Terslev L, "Ultrasound as an outcome measure in gout. A validation process by the OMERACT Ultrasound Working Group" 42 : 2177-2181, 2015

      5 Ottaviani S, "Ultrasonography in gout: a case-control study" 30 : 499-504, 2012

      6 Hanley JA, "The meaning and use of the area under a receiver operating characteristic (ROC) curve" 143 : 29-36, 1982

      7 Campbell JM, "The joanna briggs institute reviewers' manual 2015. The systematic review of studies of diagnostic test accuracy" 46-, 2015

      8 Glas AS, "The diagnostic odds ratio: a single indicator of test performance" 56 : 1129-1135, 2003

      9 Leeflang MM, "Systematic reviews of diagnostic test accuracy" 149 : 889-897, 2008

      10 Deeks JJ, "Systematic reviews in health care: Systematic reviews of evaluations of diagnostic and screening tests" 323 : 157-162, 2001

      11 Leeflang MM, "Systematic reviews and meta-analyses of diagnostic test accuracy" 20 : 105-113, 2014

      12 Das S, "Sensitivity and specificity of ultrasonographic features of gout in intercritical and chronic phase" 20 : 887-893, 2017

      13 Higgins JP, "Quantifying heterogeneity in a meta-analysis" 21 : 1539-1558, 2002

      14 Walter SD, "Properties of the summary receiver operating characteristic (SROC) curve for diagnostic test data" 21 : 1237-1256, 2002

      15 Wallace SL, "Preliminary criteria for the classification of the acute arthritis of primary gout" 20 : 895-900, 1977

      16 Ogdie A, "Performance of ultrasound in the diagnosis of gout in a multicenter study: comparison with monosodium urate monohydrate crystal analysis as the gold standard" 69 : 429-438, 2017

      17 Irwig L, "Meta-analytic methods for diagnostic test accuracy" 48 : 119-130, 1995

      18 Egger M, "Meta-analysis: principles and procedures" 315 : 1533-1537, 1997

      19 Munafo MR, "Meta-analysis of genetic association studies" 20 : 439-444, 2004

      20 Trikalinos TA, "Meta-analysis methods" 60 : 311-334, 2008

      21 DerSimonian R, "Meta-analysis in clinical trials" 7 : 177-188, 1986

      22 Davey Smith G, "Meta-analyses of randomised controlled trials" 350 : 1182-, 1997

      23 Zamora J, "Meta-DiSc: a software for meta-analysis of test accuracy data" 6 : 31-, 2006

      24 Simundic AM, "Measures of diagnostic accuracy: basic definitions" 19 : 203-211, 2009

      25 Filippucci E, "Hyaline cartilage involvement in patients with gout and calcium pyrophosphate deposition disease. An ultrasound study" 17 : 178-181, 2009

      26 Thompson SG, "How should meta-regression analyses be undertaken and interpreted?" 21 : 1559-1573, 2002

      27 Wright SA, "High-resolution ultrasonography of the first metatarsal phalangeal joint in gout: a controlled study" 66 : 859-864, 2007

      28 Okeh UM, "Evaluating measures of indicators of diagnostic test performance: fundamental meanings and formulars" 3 : 132-, 2012

      29 Loffler C, "Distinguishing gouty arthritis from calcium pyrophosphate disease and other arthritides" 42 : 513-520, 2015

      30 Thiele RG, "Diagnosis of gout by ultrasound" 46 : 1116-1121, 2007

      31 Moses LE, "Combining independent studies of a diagnostic test into a summary ROC curve: data-analytic approaches and some additional considerations" 12 : 1293-1316, 1993

      32 Deeks J, "Cochrane handbook for systematic reviews of diagnostic test accuracy version 1.0. 0" 2009

      33 Reitsma JB, "Bivariate analysis of sensitivity and specificity produces informative summary measures in diagnostic reviews" 58 : 982-990, 2005

      34 Harbord RM, "An empirical comparison of methods for meta-analysis of diagnostic accuracy showed hierarchical models are necessary" 61 : 1095-1103, 2008

      35 Lamers-Karnebeek FB, "Additive value for ultrasonographic signal in a screening algorithm for patients presenting with acute mono-/oligoarthritis in whom gout is suspected" 33 : 555-559, 2014

      36 Zufferey P, "A prospective evaluation of ultrasound as a diagnostic tool in acute microcrystalline arthritis" 17 : 188-, 2015

      37 Dinnes J, "A methodological review of how heterogeneity has been examined in systematic reviews of diagnostic test accuracy" 9 : 1-113, 2005

      38 Rutter CM, "A hierarchical regression approach to meta-analysis of diagnostic test accuracy evaluations" 20 : 2865-2884, 2001

      39 Whitehead A, "A general parametric approach to the meta-analysis of randomized clinical trials" 10 : 1665-1677, 1991

      40 Neogi T, "2015 Gout Classification Criteria: an American College of Rheumatology/European League Against Rheumatism collaborative initiative" 67 : 2557-2568, 2015

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
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      2009-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2006-01-01 평가 등재학술지 선정 (등재후보2차) KCI등재
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      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.1 0.1 0.08
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.08 0.09 0.242 0.09
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