The journal of pain : official journal of the American Pain Society
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Review Meta Analysis Comparative Study
A Comparison of the Assay Sensitivity of Average and Worst Pain Intensity in Pharmacologic Trials: An ACTTION Systematic Review and Meta-Analysis.
Identifying methods to improve assay sensitivity in randomized clinical trials (RCTs) may facilitate the discovery of efficacious pain treatments. RCTs evaluating pain treatments typically use average pain intensity (API) or worst pain intensity (WPI) as the primary efficacy outcome. However, little evidence is available comparing the assay sensitivity of these 2 measures. ⋯ Twenty-seven active versus placebo comparisons were identified in 23 eligible articles. Using a random-effects meta-analysis, API SES and WPI SES did not differ significantly (difference = -.021, 95% confidence interval = -.047 to .004, P = .12). The findings indicate that, depending on the objectives of the study, either API or WPI could be used as a primary outcome measure in clinical trials for the chronic pain conditions included in this analysis.
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Review Meta Analysis Comparative Study
A Comparison of the Assay Sensitivity of Average and Worst Pain Intensity in Pharmacologic Trials: An ACTTION Systematic Review and Meta-Analysis.
Identifying methods to improve assay sensitivity in randomized clinical trials (RCTs) may facilitate the discovery of efficacious pain treatments. RCTs evaluating pain treatments typically use average pain intensity (API) or worst pain intensity (WPI) as the primary efficacy outcome. However, little evidence is available comparing the assay sensitivity of these 2 measures. ⋯ Twenty-seven active versus placebo comparisons were identified in 23 eligible articles. Using a random-effects meta-analysis, API SES and WPI SES did not differ significantly (difference = -.021, 95% confidence interval = -.047 to .004, P = .12). The findings indicate that, depending on the objectives of the study, either API or WPI could be used as a primary outcome measure in clinical trials for the chronic pain conditions included in this analysis.
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Human pain neuroimaging has exploded in the past 2 decades. During this time, the broader neuroimaging community has continued to investigate and refine methods. Another key to progress is exchange with clinicians and pain scientists working with other model systems and approaches. ⋯ Likewise, new trainees must design rigorous and reliable pain imaging experiments. In this article we provide a guideline for designing, reading, evaluating, analyzing, and reporting results of a pain neuroimaging experiment, with a focus on functional and structural magnetic resonance imaging. We focus in particular on considerations that are unique to neuroimaging studies of pain in humans, including study design and analysis, inferences that can be drawn from these studies, and the strengths and limitations of the approach.