Coverart for item
The Resource Evaluating practices and developing tools for comparative effectiveness reviews of diagnostic test accuracy : methods for the joint meta-analysis of multiple tests, prepared by Tufts Evidence-based Practice Center ; investigators, Thomas A. Trikalinos, David C. Hoaglin, Kevin M. Small, Christopher H. Schmid

Evaluating practices and developing tools for comparative effectiveness reviews of diagnostic test accuracy : methods for the joint meta-analysis of multiple tests, prepared by Tufts Evidence-based Practice Center ; investigators, Thomas A. Trikalinos, David C. Hoaglin, Kevin M. Small, Christopher H. Schmid

Label
Evaluating practices and developing tools for comparative effectiveness reviews of diagnostic test accuracy : methods for the joint meta-analysis of multiple tests
Title
Evaluating practices and developing tools for comparative effectiveness reviews of diagnostic test accuracy
Title remainder
methods for the joint meta-analysis of multiple tests
Statement of responsibility
prepared by Tufts Evidence-based Practice Center ; investigators, Thomas A. Trikalinos, David C. Hoaglin, Kevin M. Small, Christopher H. Schmid
Creator
Contributor
Author
Issuing body
Subject
Genre
Language
eng
Summary
  • BACKGROUND: Existing methods for meta-analysis of diagnostic test accuracy focus primarily on a single index test rather than comparing two or more tests that have been applied to the same patients in paired designs. OBJECTIVES: We develop novel methods for the joint meta-analysis of studies of diagnostic accuracy that compare two or more tests on the same participants. DEVELOPMENT OF METHODS: We extend the bivariate meta-analysis method proposed by Reitsma et al. (J Clin Epidemiol. 2005; 58[10]:982-90) and modified by others to simultaneously meta-analyze M e 2 index tests. We derive and present formulas for calculating the within-study correlations between the true-positive rates (TPR, sensitivity) and between the false-positive rates (FPR, one minus specificity) of each test under study using data reported in the studies themselves. The proposed methods respect the natural grouping of data by studies, account for the within-study correlation between the TPR and the FPR of the tes
  • ts (induced because tests are applied to the same participants), allow for between-study correlations between TPRs and FPRs (such as those induced by threshold effects), and calculate asymptotically correct confidence intervals for summary estimates and for differences between summary estimates. We develop algorithms in the frequentist and Bayesian settings, using approximate and discrete likelihoods to model testing data. APPLICATION: Published meta-analysis of 11 studies on the screening accuracy of detecting trisomy 21 (Down syndrome) in liveborn infants using two tests: shortened humerus (arm bone), and shortened femur (thigh bone). Secondary analyses included an additional 19 studies on shortened femur only. FINDINGS: In the application, separate and joint meta-analyses yielded very similar estimates. For example, in models using the discrete likelihood, the summary TPR for a shortened humerus was 35.3 percent (95% credible interval [CrI]: 26.9, 41.8%) with the novel method, and 3
  • 7.9 percent (27.7 to 50.3%) when shortened humerus was analyzed on its own. The corresponding numbers for the summary FPR were 4.8 percent (2.8 to 7.5%) and 4.8 percent (3.0 to 7.4%). However, when calculating comparative accuracy, joint meta-analyses resulted in shorter confidence intervals compared with separate meta-analyses for each test. In analyses using the discrete likelihood, the difference in the summary TPRs is 0 percent (8.9, 9.5%; TPR higher for shortened humerus) with the novel method versus 2.6 percent (14.7, 19.8%) with separate meta-analyses. The standard deviation of the posterior distribution of the difference in TPR with joint meta-analyses is half of that with separate meta-analyses. CONCLUSIONS: The joint meta-analysis of multiple tests is feasible. It may be preferable over separate analyses for estimating measures of comparative accuracy of diagnostic tests. Simulation and empirical analyses are needed to better define the role of the proposed methodology
Member of
Cataloging source
NLM
http://library.link/vocab/creatorName
Trikalinos, Thomas A
Funding information
Prepared for: Agency for Healthcare Research and Quality, U.S. Department of Health and Human Services, 540 Gaither Road, Rockville, MD 20850; www.ahrq.gov Contract No. 290-2007-10055-I, Prepared by: Tufts Evidence-based Practice Center, Tufts Medical Center, Boston, MA
Government publication
federal national government publication
Illustrations
illustrations
Index
no index present
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
  • technical reports
NLM call number
WB 200
http://library.link/vocab/relatedWorkOrContributorDate
1944-
http://library.link/vocab/relatedWorkOrContributorName
  • Hoaglin, David C.
  • Small, Kevin M.
  • Schmid, Christopher H.
  • United States
  • Tufts Evidence-based Practice Center
Series statement
  • Methods research reports
  • AHRQ publication
Series volume
no. 12(13)-EHC151-EF
http://library.link/vocab/subjectName
  • Diagnostic Tests, Routine
  • Evaluation Studies as Topic
  • Meta-Analysis as Topic
  • Comparative Effectiveness Research
Label
Evaluating practices and developing tools for comparative effectiveness reviews of diagnostic test accuracy : methods for the joint meta-analysis of multiple tests, prepared by Tufts Evidence-based Practice Center ; investigators, Thomas A. Trikalinos, David C. Hoaglin, Kevin M. Small, Christopher H. Schmid
Instantiates
Publication
Note
  • Title from PDF title page
  • "January 2013."
Bibliography note
Includes bibliographical references
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Dimensions
unknown
Extent
1 online resource (1 PDF file (vii, 39 pages))
Form of item
online
Governing access note
Access restricted to subscribing institutions
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
illustrations.
Specific material designation
remote
System control number
  • (OCoLC)862321885
  • (OCoLC)ocn862321885
Label
Evaluating practices and developing tools for comparative effectiveness reviews of diagnostic test accuracy : methods for the joint meta-analysis of multiple tests, prepared by Tufts Evidence-based Practice Center ; investigators, Thomas A. Trikalinos, David C. Hoaglin, Kevin M. Small, Christopher H. Schmid
Publication
Note
  • Title from PDF title page
  • "January 2013."
Bibliography note
Includes bibliographical references
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Dimensions
unknown
Extent
1 online resource (1 PDF file (vii, 39 pages))
Form of item
online
Governing access note
Access restricted to subscribing institutions
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
illustrations.
Specific material designation
remote
System control number
  • (OCoLC)862321885
  • (OCoLC)ocn862321885

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