logo BDSP

Base documentaire


Votre avis nous intéresse

Le réseau BDSP met en oeuvre un projet d'innovation et d'amélioration de ses services, dans le souci constant de proposer des contenus de qualité adaptés aux besoins des utilisateurs.

Identifier de nouvelles sources de financements est la condition nécessaire pour assurer la poursuite et la pérennité de cet outil unique qu'est la BDSP, tout en le faisant évoluer.

Pour définir un nouveau modèle économique, nous avons besoin de votre avis : merci de répondre à notre enquête (temps estimé : 5 minutes).

Participer maintenant
Participer plus tard J'ai déjà participé

  1. Meta-analysis : When and how.

    Article, Communication - En anglais

    Methods in Outcomes Research. Workshop. New Orleans, USA, 1998.

    Systematic reviews have a central role in evidence-based medicine.

    The quantitative systematic review, also known as meta-analysis, provides a logical structure for quantifying evidence and for exploring bias and diversity in research systematically.

    It is essential that clinicians, educators, and researchers understand the methods that comprise this research tool, particularly the basic step-by-step process, and know when numerical pooling of data is appropriate.

    The essay describes how systematic reviews are best conducted and when statistical pooling of data is appropriate.

    Systematic reviews are scientific investigations with planned methods that use original studies as subjects and synthesize the results of multiple studies using strategies to limit bias and random error.

    This process requires judgments to be made explicit, and should be question driven, protocol based, reproducible, and comprehensive in scope.

    Meta-analysis provides a framework for research synthesis, increases power and precision, provides an overall estimate and range of effect, and identifies greater-than-expected variability among study results (heterogeneity).

    Meta-analysis does not remove subjectivity from the process of synthesis, identify sources of variability among studies, or obviate the need for sound, compassionate clinical reasoning.

    Statistical heterogeneity should be anticipated and welcomed. (...)

    Mots-clés Pascal : Métaanalyse, Santé, Maladie, Synthèse documentaire, Indication, Intérêt, Méthodologie, Article synthèse, Homme, Science information

    Mots-clés Pascal anglais : Metaanalysis, Health, Disease, Documentation synthesis, Indication, Interest, Methodology, Review, Human, Information science

    Logo du centre Notice produite par :
    Inist-CNRS - Institut de l'Information Scientifique et Technique

    Cote : 99-0336193

    Code Inist : 002B28F. Création : 16/11/1999.