Do clinicians understand the size of treatment effects? A randomized survey across 8 countries

BC Johnston, P Alonso-Coello, JO Friedrich… - Cmaj, 2016 - Can Med Assoc
Background: Meta-analyses of continuous outcomes typically provide enough information
for decision-makers to evaluate the extent to which chance can explain apparent differences …

Methods to convert continuous outcomes into odds ratios of treatment response and numbers needed to treat: meta-epidemiological study

BR da Costa, AWS Rutjes, BC Johnston… - International journal …, 2012 - academic.oup.com
Background Clinicians find standardized mean differences (SMDs) calculated from
continuous outcomes difficult to interpret. Our objective was to determine the performance of …

A meta-analysis of the effects of presenting treatment benefits in different formats

J Covey - Medical Decision Making, 2007 - journals.sagepub.com
Purpose. The purpose of this article is to examine the effects of presenting treatment benefits
in different formats on the decisions of both patients and health professionals. Three formats …

Deriving dichotomous outcome measures from continuous data in randomised controlled trials of analgesics: verification from independent data

A Moore, H McQuay, D Gavaghan - Pain, 1997 - Elsevier
A previously established relationship for deriving dichotomous from continuous information
in randomised controlled trials (RCTs) of analgesics has been tested using an independent …

Interpreting the clinical importance of group differences in chronic pain clinical trials: IMMPACT recommendations

RH Dworkin, DC Turk, MP McDermott… - Pain, 2009 - journals.lww.com
An essential component of the interpretation of results of randomized clinical trials of
treatments for chronic pain involves the determination of their clinical importance or …

Clinical effectiveness: an approach to clinical trial design more relevant to clinical practice, acknowledging the importance of individual differences

RA Moore, S Derry, HJ McQuay, S Straube… - Pain, 2010 - journals.lww.com
Schwartz and Lellouch [36] distinguished between explanatory trials (examining whether an
intervention works) and pragmatic trials (how best to use it in clinical practice). Clinical trials …

A framework for the analysis of heterogeneity of treatment effect in patient-centered outcomes research

R Varadhan, JB Segal, CM Boyd, AW Wu… - Journal of clinical …, 2013 - Elsevier
Individuals vary in their response to a treatment. Understanding this heterogeneity of
treatment effect is critical for evaluating how well a treatment can be expected to work for an …

[HTML][HTML] Influence of trial sample size on treatment effect estimates: meta-epidemiological study

A Dechartres, L Trinquart, I Boutron, P Ravaud - Bmj, 2013 - bmj.com
Objective To assess the influence of trial sample size on treatment effect estimates within
meta-analyses. Design Meta-epidemiological study. Data sources 93 meta-analyses (735 …

Considerations when assessing heterogeneity of treatment effect in patient-centered outcomes research

CR Lesko, NC Henderson, R Varadhan - Journal of clinical epidemiology, 2018 - Elsevier
When baseline risk of an outcome varies within a population, the effect of a treatment on that
outcome will vary on at least one scale (eg, additive, multiplicative). This treatment effect …

Analyzing multiple endpoints in clinical trials of pain treatments: IMMPACT recommendations

DC Turk, RH Dworkin, MP McDermott, N Bellamy… - Pain, 2008 - journals.lww.com
The increasing complexity of randomized clinical trials and the practice of obtaining a wide
variety of measurements from study participants have made the consideration of multiple …