Please use this identifier to cite or link to this item: https://olympias.lib.uoi.gr/jspui/handle/123456789/19224
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dc.contributor.authorIoannidis, J. P.en
dc.contributor.authorLau, J.en
dc.date.accessioned2015-11-24T18:57:56Z-
dc.date.available2015-11-24T18:57:56Z-
dc.identifier.issn1070-3241-
dc.identifier.urihttps://olympias.lib.uoi.gr/jspui/handle/123456789/19224-
dc.rightsDefault Licence-
dc.subjectBias (Epidemiology)en
dc.subjectData Interpretation, Statisticalen
dc.subjectDecision Making, Organizationalen
dc.subject*Evidence-Based Medicineen
dc.subjectHumansen
dc.subject*Meta-Analysis as Topicen
dc.subjectProspective Studiesen
dc.subjectReproducibility of Resultsen
dc.subjectResearch Design/*standardsen
dc.subjectRetrospective Studiesen
dc.subjectTreatment Outcomeen
dc.titlePooling research results: benefits and limitations of meta-analysisen
heal.typejournalArticle-
heal.type.enJournal articleen
heal.type.elΆρθρο Περιοδικούel
heal.identifier.secondaryhttp://www.ncbi.nlm.nih.gov/pubmed/10481815-
heal.languageen-
heal.accesscampus-
heal.recordProviderΠανεπιστήμιο Ιωαννίνων. Σχολή Επιστημών Υγείας. Τμήμα Ιατρικήςel
heal.publicationDate1999-
heal.abstractBACKGROUND: Meta-analysis, the systematic and quantitative synthesis of evidence, has developed considerably in the 1990s and is emerging as an important methodology in medical decision making. As a research methodology, meta-analysis has benefits and limitations that must be acknowledged in its application. EXAMPLES OF BENEFITS: The benefits of meta-analysis include the ability to improve the power of small or inconclusive studies to answer questions and the ability to identify sources of diversity across various types of studies. Meta-analysis may reveal how heterogeneity among populations affects the effectiveness of medical interventions in different settings and in different patients. It can also help detect biases, such as publication bias and "Tower of Babel" bias, as well as deficiencies in the design, conduct, analysis, and interpretation of research. In this way, it can also stimulate improvements in the quality of the data needed to optimize medical care. EXAMPLES OF LIMITATIONS: Meta-analysis cannot improve the quality or reporting of the original studies. Other limitations come from misapplications of the method, such as when study diversity is ignored or mishandled in the analysis or when the variability of patient populations, the quality of the data, and the potential for underlying biases are not addressed. CONCLUSIONS: Meta-analysis has promoted the sense that obtaining evidence is a global enterprise and that complete information needs to be evaluated and synthesized to obtain the most unbiased results. Analyzing sources of bias and diversity is essential to performing, understanding, and using meta-analyses in medical care.en
heal.journalNameJt Comm J Qual Improven
heal.journalTypepeer-reviewed-
heal.fullTextAvailabilityTRUE-
Appears in Collections:Άρθρα σε επιστημονικά περιοδικά ( Ανοικτά) - ΙΑΤ

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