Literature DB >> 17611957

We should not pool diagnostic likelihood ratios in systematic reviews.

Aeilko H Zwinderman1, Patrick M Bossuyt.   

Abstract

Some authors plead for the explicit use of diagnostic likelihood ratios to describe the accuracy of diagnostic tests. Likelihood ratios are also preferentially used by some journals, and, naturally, are also used in meta-analysis. Although likelihood ratios vary between zero and infinity, meta-analysis is complicated by the fact that not every combination in Re(+) is appropriate. The usual bivariate meta-analysis with a bivariate normal distribution can sometimes lead to positive probability mass at values that are not possible. We considered, therefore, three different statistical models that do not suffer from this drawback. All three approaches are so complicated that we advise to consider meta-analysis of sensitivity and specificity values instead of likelihood ratios.

Mesh:

Year:  2008        PMID: 17611957     DOI: 10.1002/sim.2992

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  59 in total

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Authors:  Gunnar Tomasson; Peter C Grayson; Alfred D Mahr; Michael Lavalley; Peter A Merkel
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Review 2.  Fluorine-18-fluorodeoxyglucose positron emission tomography in response assessment before high-dose chemotherapy for lymphoma: a systematic review and meta-analysis.

Authors:  Teruhiko Terasawa; Issa J Dahabreh; Takashi Nihashi
Journal:  Oncologist       Date:  2010-06-29

Review 3.  Accuracy of fecal immunochemical tests for colorectal cancer: systematic review and meta-analysis.

Authors:  Jeffrey K Lee; Elizabeth G Liles; Stephen Bent; Theodore R Levin; Douglas A Corley
Journal:  Ann Intern Med       Date:  2014-02-04       Impact factor: 25.391

4.  Myocardial perfusion scintigraphy and echocardiography for detecting coronary artery disease in hypertensive patients: a meta-analysis.

Authors:  Paola Gargiulo; Mario Petretta; Dario Bruzzese; Alberto Cuocolo; Maria Prastaro; Carmen D'Amore; Enrico Vassallo; Gianluigi Savarese; Caterina Marciano; Stefania Paolillo; Pasquale Perrone Filardi
Journal:  Eur J Nucl Med Mol Imaging       Date:  2011-08-04       Impact factor: 9.236

5.  Use of Doppler ultrasonography to predict pre-eclampsia.

Authors:  Agustín Conde-Agudelo; Marshall Lindheimer
Journal:  CMAJ       Date:  2008-07-01       Impact factor: 8.262

Review 6.  Accuracy of mean arterial pressure and blood pressure measurements in predicting pre-eclampsia: systematic review and meta-analysis.

Authors:  Jeltsje S Cnossen; Karlijn C Vollebregt; Nynke de Vrieze; Gerben ter Riet; Ben W J Mol; Arie Franx; Khalid S Khan; Joris A M van der Post
Journal:  BMJ       Date:  2008-05-14

7.  Random Effects Models in a Meta-Analysis of the Accuracy of Two Diagnostic Tests Without a Gold Standard.

Authors:  Haitao Chu; Sining Chen; Thomas A Louis
Journal:  J Am Stat Assoc       Date:  2009-06-01       Impact factor: 5.033

8.  Systematic reviews of diagnostic test accuracy.

Authors:  Mariska M G Leeflang; Jonathan J Deeks; Constantine Gatsonis; Patrick M M Bossuyt
Journal:  Ann Intern Med       Date:  2008-12-16       Impact factor: 25.391

Review 9.  Combined magnetic resonance imaging and magnetic resonance spectroscopy imaging in the diagnosis of prostate cancer: a systematic review and meta-analysis.

Authors:  Martin Umbehr; Lucas M Bachmann; Ulrike Held; Thomas M Kessler; Tullio Sulser; Dominik Weishaupt; John Kurhanewicz; Johann Steurer
Journal:  Eur Urol       Date:  2008-10-18       Impact factor: 20.096

10.  Bivariate random effects meta-analysis of diagnostic studies using generalized linear mixed models.

Authors:  Haitao Chu; Hongfei Guo; Yijie Zhou
Journal:  Med Decis Making       Date:  2009-12-03       Impact factor: 2.583

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