Assay sensitivity and study features in neuropathic pain trials: An ACTTION meta-analysis
Open accessAbstract
OBJECTIVE: Our objective was to identify patient, study, and site factors associated with assay sensitivity in placebo-controlled neuropathic pain trials. METHODS: We examined the associations between study characteristics and standardized effect size (SES) in a database of 200 publicly available randomized clinical trials of pharmacologic treatments for neuropathic pain. RESULTS: There was considerable heterogeneity in the SESs among the examined trials. Univariate meta-regression analyses indicated that larger SESs were significantly associated with trials that had 1) greater minimum baseline pain inclusion criteria, 2) greater mean subject age, 3) a larger percentage of Caucasian subjects, and 4) a smaller total number of subjects. In a multiple meta-regression analysis, the associations between SES and minimum baseline pain inclusion criterion and age remained significant. CONCLUSIONS: Our analyses have examined potentially modifiable correlates of study SES and shown that a minimum pain inclusion criterion of 40 or above on a 0 to 100 scale is associated with a larger SES. These data provide a foundation for investigating strategies to improve assay sensitivity and thereby decrease the likelihood of falsely negative outcomes in clinical trials of efficacious treatments for neuropathic pain.
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Heterogeneity of patient phenotypes in clinical trials may reflect various underlying mechanisms.
“Lastly, a largely debated issue concerns the heterogeneity of patient phenotypes in clinical trials, which may reflect various underlying mechanisms.55–57”
From Pharmacotherapy for neuropathic pain in adults: a systematic review and meta-analysis (2015) · cites this paper as [55]
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- Authors
- Dworkin, R. H., Turk, D. C., Peirce-Sandner, S., He, H., McDermott, M. P., Farrar, J. T., Katz, N. P., Lin, A. H., Rappaport, B. A., & Rowbotham, M. C.
- Affiliations
- Tufts University (US)
- From the Departments of Anesthesiology (R.H.D., S.P.-S.), Biostatistics and Computational Biology (H.H., M.P.M.), and Neurology (R.H.D., M.P.M), University of Rochester School of Medicine and Dentistry, Rochester, NY; Department of Anesthesiology and Pain Medicine (D.C.T.), University of Washington, Seattle; Department of Clinical Epidemiology and Biostatistics (J.T.F.), University of Pennsylvania, Philadelphia; Analgesic Solutions, Natick, and Tufts University, Boston (N.P.K.), MA; Division of...
- Venue
- Neurology
- Published
- 2013-07-02
- Volume
- 81
- Issue
- 1
- Pages
- 67-75
- ISSN
- 0028-3878 (ISSN-L)
- 1526-632X
- PMC
- PMC3770199
- OpenAlex
- W2013578490
- Cited by
- 38
- References
- 41
- Citations by year
- 2025: 2 · 2024: 1 · 2023: 2 · 2022: 2 · 2021: 1 · 2020: 4 · 2019: 2 · 2018: 3 · 2017: 2 · 2016: 6 · 2015: 8 · 2014: 5
- FWCI
- 1.25
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Neurology (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- U.S. Food and Drug Administration (U01 FD004187)
- U.S. Public Health Service (HHSF 223201000078C)
- National Institute on Aging (U01AG030644)
- National Institute on Drug Abuse (R01DA032776, R01DA026887)
- National Cancer Institute (R01CA158243)
- National Institute of Arthritis and Musculoskeletal and Skin Diseases (R01AR064153, R01AR059102)
- National Center for Research Resources (TL1RR024133)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
- Health Sciences › Medicine › Physiology › Pain Mechanisms and Treatments
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Keywords
- neuropathic pain, assay sensitivity, standardized effect size, trial characteristics, racial composition, sample size, pharmacotherapy
- MeSH terms
- Age Factors, Clinical Trials as Topic, Humans, Neuralgia, Research Design, Sensitivity and Specificity, Treatment Outcome
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