Selective reporting biases in cancer prognostic factor studies

Απλή σελίδα τεκμηρίου
dc.contributor.authorKyzas, P. A.en
dc.contributor.authorLoizou, K. T.en
dc.contributor.authorIoannidis, J. P.en
dc.date.accessioned2015-11-24T18:52:34Z
dc.date.available2015-11-24T18:52:34Z
dc.identifier.issn1460-2105-
dc.identifier.urihttps://olympias.lib.uoi.gr/jspui/handle/123456789/18412
dc.rightsDefault Licence-
dc.subjectAgeden
dc.subjectCarcinoma, Squamous Cell/chemistry/*mortality/pathologyen
dc.subjectConfidence Intervalsen
dc.subjectEpidemiologic Research Designen
dc.subjectFemaleen
dc.subjectHead and Neck Neoplasms/chemistry/*mortality/pathologyen
dc.subjectHumansen
dc.subjectLymphatic Metastasisen
dc.subjectMaleen
dc.subjectMiddle Ageden
dc.subjectOdds Ratioen
dc.subjectPredictive Value of Testsen
dc.subjectPrognosisen
dc.subject*Publication Biasen
dc.subjectResearch Designen
dc.subjectRisk Assessmenten
dc.subjectRisk Factorsen
dc.subjectSurvival Rateen
dc.subjectTumor Markers, Biological/*analysisen
dc.subjectTumor Suppressor Protein p53/*analysisen
dc.subjectUnited States/epidemiologyen
dc.titleSelective reporting biases in cancer prognostic factor studiesen
heal.abstractBACKGROUND: Nonreported and selectively reported information and the use of different definitions may introduce biases in the literature of prognostic factors. We probed these biases in a meta-analysis of a prognostic factor for head and neck squamous cell cancer (HNSCC) mortality that has drawn wide attention--the status of the tumor suppressor protein TP53. METHODS: We compared results of meta-analyses that included published data plus unpublished data retrieved from investigators; published data; and only published data indexed with "survival" or "mortality" in MEDLINE/EMBASE, with or without standardized definitions. We also evaluated whether previously published meta-analyses on mortality predictors for various malignancies addressed issues of retrieval and standardized information. All statistical tests were two-sided. RESULTS: For the 18 studies with 1364 patients that included published and indexed data, we obtained a highly statistically significant association between TP53 status and mortality. When we used the definitions preferred by each publication, the association was stronger (risk ratio [RR] = 1.38, 95% confidence interval [CI] = 1.13 to 1.67; P = .001) than when we standardized definitions (RR = 1.27, 95% CI = 1.06 to 1.53; P = .011). The addition of 13 studies with 1028 subjects that included published but not indexed data reduced the observed association (RR = 1.23, 95% CI = 1.03 to 1.47; P = .02). Finally, when we obtained data from investigators (11 studies with 996 patients) and analyzed it with all other data, statistical significance was lost (RR = 1.16, 95% CI = 0.99 to 1.35; P = .06). Among 18 published meta-analyses of 37 cancer prognostic factors, 13 (72%) did not use standardized definitions and 16 (89%) did not retrieve additional information. CONCLUSIONS: Selective reporting may spuriously inflate the importance of postulated prognostic factors for various malignancies. We recommend that meta-analyses thereof should maximize retrieval of information and standardize definitions.en
heal.accesscampus-
heal.fullTextAvailabilityTRUE-
heal.identifier.primary10.1093/jnci/dji184-
heal.identifier.secondaryhttp://www.ncbi.nlm.nih.gov/pubmed/16030302-
heal.identifier.secondaryhttp://jnci.oxfordjournals.org/content/97/14/1043.full.pdf-
heal.journalNameJ Natl Cancer Insten
heal.journalTypepeer-reviewed-
heal.languageen-
heal.publicationDate2005-
heal.recordProviderΠανεπιστήμιο Ιωαννίνων. Σχολή Επιστημών Υγείας. Τμήμα Ιατρικήςel
heal.typejournalArticle-
heal.type.elΆρθρο Περιοδικούel
heal.type.enJournal articleen

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