๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

How to assess the clinical impact of treatments on patients, rather than the statistical impact of treatments on measures

โœ Scribed by Helena Chmura Kraemer; Ellen Frank; David J. Kupfer


Publisher
John Wiley and Sons
Year
2011
Tongue
English
Weight
209 KB
Volume
20
Category
Article
ISSN
1049-8931

No coin nor oath required. For personal study only.

โœฆ Synopsis


While randomized clinical trials (RCTs) should provide the basis for evidence-based medicine, as currently designed and analyzed, they often mislead clinical decision-making. Comparative effectiveness evaluation of two treatments [Treatment 1 (T1) versus Treatment 2 (T2)] should not be determined by the statistical effect of treatments on individual measures of outcome (benefits and/or harms), but rather on the clinical effects of treatments on individual patients who can experience both benefits and harms. Such strategies for evaluation require both methods for statistical assessment of the rates of co-occurrence of such benefits and harms, and clinical assessment of their combined clinical impact on patients. The strategies discussed here are possible solutions to this dilemma. It is crucial to develop successful strategies to assess the effects of treatments on individual patients.


๐Ÿ“œ SIMILAR VOLUMES


Visit-driven endpoints in randomized HIV
โœ Emmanuelle Le Corfec; Sylvie Chevret; Dominique Costagliola ๐Ÿ“‚ Article ๐Ÿ“… 1999 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 133 KB

In randomized HIV/AIDS clinical trials, CD4 lymphocyte counts and plasma HIV-1 RNA measurements are often used as endpoints. The comparison between treatment groups is mainly based on a summary measure of outcome, so-called summary statistic. Such analyses are often complicated by missing data occur

The impact of measurement error on the c
โœ Leonard Oppenheimer; Uma Kher ๐Ÿ“‚ Article ๐Ÿ“… 1999 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 142 KB ๐Ÿ‘ 2 views

Investigators often report results of studies comparing the proportions of subjects who have clinically meaningful responses to various therapeutic regimens. When the outcome variable is a continuous measure this involves dichotomizing the observed response based on a prede"ned threshold value. The

Assessing the impact of low baseline par
โœ M. Jonathan Clark; Phillip K. Pellitteri ๐Ÿ“‚ Article ๐Ÿ“… 2009 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 94 KB

## Abstract ## Objectives/Hypothesis: To compare patients with a parathyroid hormone index (iPTH) level less than 100 pg/mL (low baseline) with patients with an index level greater than 100 pg/mL (high baseline) relative to intraoperative iPTH levels (IOPTH), surgical findings, imaging, and outcom