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Evidence-based medicine meta-analysis

Strength of recommendation A based on a meta-analysis or at least one randomized controlled trial. Strength of recommendation B based on at least one well-designed study, including case control and comparative studies. Strength of recommendation C based on expert reports or opinion (levels of evidence and strength of recommendation. Oxford (UK) Centre for Evidence-Based Medicine. Available at http //www.cebm.net/levels of evidence.asp (accessed December 8,2008). [Pg.212]

From a clinical practice perspective, a clinician s treatment of a patient may be influenced by the results of a meta-analysis. Therefore, if the result is influenced by the fact that the articles included in the analysis were not truly representative of all evaluations of the treatment, the result is not likely to be representative either. The issue of publication bias therefore is of critical importance in the context of evidence-based medicine. [Pg.211]

The second component of evidence-based medicine is clinical practice (see also Mayer, 2004 Straus et al., 2005). Clinicians have the responsibility of providing the best possible care to each of their individual patients. One part of being able to provide this optimum care is remaining aware of pertinent evidence that is published in clinical communications (as mentioned in the previous section, this is no small task). It is also incumbent on clinicians to be able to decide for themselves if the evidence presented in a clinical communication is good evidence and if the message of a systematic review or a meta-analysis is justified based on the quality of the report. As Katz (2001) commented ... [Pg.212]

In clinical practice, and in the era of cost-effectiveness, the use of meta-analysis as a tool to aid medical decision making and imderpinning evidence-based medicine is here to stay. [Pg.66]

Since then the importance of meta-analysis has grown. Not only has there been an explosion in published analyses over the past twenty years, but initiatives such as that of the Cochrane collaboration of databases as well as the trend towards evidence-based medicine make it both easier to use meta-analysis on the one hand and less acceptable not to do so on the other. In drug development, while being satisfied with an expert s judgement alone in the past, the regulator now expects to see it backed up with a formal overview of all studies. (See, for example, ICH E9 (International Conference on Harmonisation, 1999).) Like them or hate them, meta-analyses are here to stay. [Pg.253]

Some of the methodological problems related to limited sample sizes and inadequate power can of course be overcome by techniques of systematic review and meta-analysis. In the era of evidence-based medicine, these techniques are used to help us arrive at more precise and less biased estimates of risk. Examples of the use of meta-analysis in studying adverse drug reactions are shown in Figures 1 and 2 [4,5]. [Pg.890]

Mayo-Smith MR Pharmacological management of alcohol withdrawal. A meta-analysis and evidence-based practice guideline. American Society of Addiction Medicine Working Group on Pharmacological Management of Alcohol. JAMA 1997 278(2) 144-51. [Pg.518]


See other pages where Evidence-based medicine meta-analysis is mentioned: [Pg.788]    [Pg.254]    [Pg.115]    [Pg.265]    [Pg.309]    [Pg.847]    [Pg.309]    [Pg.1123]   
See also in sourсe #XX -- [ Pg.221 ]




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