Download Evidence-based Urology by Philipp Dahm, Roger Dmochowski PDF

By Philipp Dahm, Roger Dmochowski

This particular e-book presents up to date details at the appropriateness of either clinical and surgery techniques for a huge spectrum of urological stipulations in line with the present top evidence.

Written through a world crew of authors that stand out via their uniqueness services and management in working towards evidence-based urology, this ebook presents functional strategies for the care of person sufferers. each one bankruptcy addresses a sequence of centred medical questions which are addressed in a scientific style, together with a finished literature seek, a score of the standard of facts, and an evaluation of ratio of gain and damage of a given remedy option.

Evidence-Based Urology is a useful resource of evidence-based details distilled into tips for medical perform

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Several of these elements are identified in the CONSORT statement [10,11] and include appropriate sample size calculations, conducting analyses according to the intention-to-treat principle, reporting effect size and precision for primary and secondary outcomes, and accounting for the effects of subgroup analyses and multiple testing when interpreting trial results. Notably, randomized trials in the urologic literature are frequently deficient in the utilization or reporting of these key statistical elements [4,22,23].

Schulz KF, Chalmers I, Hayes RJ, Altman DG. Empirical evidence of bias. Dimensions of methodological quality associated with estimates of treatment effects in controlled trials. JAMA 1995;273:408-12. 14. Moher D, Pham B, Jones A, et al. Does quality of reports of randomised trials affect estimates of intervention efficacy reported in meta-analyses? Lancet 1998;352:609-13. 15. Balk EM, Bonis PA, Moskowitz H, et al. Correlation of quality measures with estimates of treatment effect in meta-analyses of randomized controlled trials.

8 or higher), then the logit of the proportion or event rate is used; these quantities are difficult to interpret and are usually converted back to mean proportions or event rates when reported. When outcomes are binary and two groups are compared, the most common statistics are the odds ratio or relative risk ratio. e. number of days in the hospital). e. all studies used the same pain scale), the unstandardized mean difference is used. When different measures of the same phenomenon were used (studies used different types of pain scales), the standardized mean difference is used.

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