The appropriateness of asymmetry tests for publication bias in meta-analyses: a large survey
| dc.contributor.author | Ioannidis, J. P. | en |
| dc.contributor.author | Trikalinos, T. A. | en |
| dc.date.accessioned | 2015-11-24T19:42:30Z | |
| dc.date.available | 2015-11-24T19:42:30Z | |
| dc.identifier.issn | 1488-2329 | - |
| dc.identifier.uri | https://olympias.lib.uoi.gr/jspui/handle/123456789/24651 | |
| dc.rights | Default Licence | - |
| dc.subject | *Data Interpretation, Statistical | en |
| dc.subject | Databases, Bibliographic | en |
| dc.subject | Humans | en |
| dc.subject | *Meta-Analysis as Topic | en |
| dc.subject | Periodicals as Topic | en |
| dc.subject | *Publication Bias | en |
| dc.title | The appropriateness of asymmetry tests for publication bias in meta-analyses: a large survey | en |
| heal.abstract | BACKGROUND: Statistical tests for funnel-plot asymmetry are common in meta-analyses. Inappropriate application can generate misleading inferences about publication bias. We aimed to measure, in a survey of meta-analyses, how frequently the application of these tests would be not meaningful or inappropriate. METHODS: We evaluated all meta-analyses of binary outcomes with e 3 studies in the Cochrane Database of Systematic Reviews (2003, issue 2). A separate, restricted analysis was confined to the largest meta-analysis in each of the review articles. In each meta-analysis, we assessed whether criteria to apply asymmetry tests were met: no significant heterogeneity, I2 < 50%, e 10 studies (with statistically significant results in at least 1) and ratio of the maximal to minimal variance across studies > 4. We performed a correlation and 2 regression asymmetry tests and evaluated their concordance. Finally, we sampled 60 meta-analyses from print journals in 2005 that cited use of the standard regression test. RESULTS: A total of 366 of 6873 (5%) and 98 of 846 meta-analyses (12%) in the wider and restricted Cochrane data set, respectively, would have qualified for use of asymmetry tests. Asymmetry test results were significant in 7%-18% of the meta-analyses. Concordance between the 3 tests was modest (estimated k 0.33-0.66). Of the 60 journal meta-analyses, 7 (12%) would qualify for asymmetry tests; all 11 claims for identification of publication bias were made in the face of large and significant heterogeneity. INTERPRETATION: Statistical conditions for employing asymmetry tests for publication bias are absent from most meta-analyses; yet, in medical journals these tests are performed often and interpreted erroneously. | en |
| heal.access | campus | - |
| heal.fullTextAvailability | TRUE | - |
| heal.identifier.primary | 10.1503/cmaj.060410 | - |
| heal.identifier.secondary | http://www.ncbi.nlm.nih.gov/pubmed/17420491 | - |
| heal.identifier.secondary | http://www.cmaj.ca/content/176/8/1091.full.pdf | - |
| heal.journalName | CMAJ | en |
| heal.journalType | peer-reviewed | - |
| heal.language | en | - |
| heal.publicationDate | 2007 | - |
| heal.recordProvider | Πανεπιστήμιο Ιωαννίνων. Σχολή Επιστημών Υγείας. Τμήμα Ιατρικής | el |
| heal.type | journalArticle | - |
| heal.type.el | Άρθρο Περιοδικού | el |
| heal.type.en | Journal article | en |
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