Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/31479
Title: Optimising clinical trial methods for complex regional pain syndrome (CRPS): a methodological framework (OptiMeth-CRPS)
Authors: Smart, KM
Abbott-Fleming, V
Birklein, F
Bruehl, S
Corcoran, E
Day, S
Ferraro, MC
Grieve, S
Hilgers, R-D
Ingram, C
Keene, DJ
König, F
McCabe, C
Nikolakopoulos, S
O'Connell, NE
Keywords: clinical trial;complex regional pain syndrome;methodological framework
Issue Date: 3-Oct-2025
Publisher: Wolters Kluwer Health, Inc. on behalf of The International Association for the Study of Pain
Citation: Smart, K.M. et al. (2025) 'Optimising clinical trial methods for complex regional pain syndrome (CRPS): a methodological framework (OptiMeth-CRPS)', SmartPAIN Reports, 10 (6), e1320, pp. 1 - 12. doi: 10.1097/PR9.0000000000001320.
Abstract: Introduction: Complex regional pain syndrome (CRPS) is a rare, disabling pain disorder. Systematic reviews have identified a critical lack of high-quality clinical trial evidence to inform the management of CRPS. There is an urgent need to find solutions to the methodological challenges of undertaking clinical trials in CRPS. The aim of this project was to develop a methodological framework for optimising future clinical trials in CRPS (OptiMeth-CRPS). Methods: An international network with expertise in the lived experience of CRPS, CRPS trials and evidence synthesis, and rare disease trial methods developed the framework using an “Experience and expertise” approach through an iterative process of (1) online and face-to-face meetings, (2) reviewing and approving meeting notes, and (3) revising draft manuscripts to develop the framework. Results: The OptiMeth-CRPS methodological framework presents 9 key optimisation strategies for improving the methodological quality of CRPS trials. These include strategies for optimising (1) the trial team, (2) research questions, (3) trial governance and management, (4) trial design, (5) the trial population, (6) intervention and comparator groups, (7) trial outcomes, (8) data analysis, and (9) openness, transparency, and reporting. We highlight those optimisation strategies that specifically address the challenges of undertaking clinical trials in people with CRPS. Conclusion: A methodological framework for optimising clinical trials in CRPS has been developed. The OptiMeth-CRPS methodological framework may support the CRPS research community to undertake high-quality clinical trials and improve the quality of the evidence on which clinical decisions and guidelines for the management of CRPS are based.
Description: Supplemental digital content: Supplemental digital content associated with this article can be found online at https://doi.org/10.17605/OSF.IO/894MQ .
A preprint version of the article, 'OptiMeth-CRPS: A Methodological Framework for Optimising Clinical Trial Methods for Complex Regional Pain Syndrome (CRPS)', is available at OSF Preprints: https://osf.io/preprints/osf/x5zsy_v1 . It has not been certified by peer review.
URI: https://bura.brunel.ac.uk/handle/2438/31479
DOI: https://doi.org/10.1097/PR9.0000000000001320
Other Identifiers: ORCiD: Keith M Smart https://ordicd.org/0000-0002-1598-5215
ORCiD: Victoria Abbott-Fleming https://ordicd.org/0009-0004-3953-8040
ORCiD: Frank Birklein https://ordicd.org/0000-0002-6672-4226
ORCiD: Stephen Bruehl https://ordicd.org/0000-0003-2264-4758
ORCiD: Erica Corcoran Not applicable
ORCiD: Simon Day https://orcid.org/0000-0002-5672-6818
ORCiD: Michael C Ferraro https://orcid.org/0000-0003-0563-1832
ORCiD: Sharon Grieve https://orcid.org/0000-0002-3509-3468
ORCiD: Ralf-Dieter Hilgers https://orcid.org/0000-0002-5945-1119
ORCiD: Carolyn Ingram https://orcid.org/0000-0002-3789-1463
ORCiD: David J Keene https://orcid.org/0000-0001-7249-6496
ORCiD: Franz König https://orcid.org/0000-0002-6893-3304
ORCiD: Candida McCabe https://orcid.org/0000-0002-3593-0027
ORCiD: Stavros Nikolakopoulos https://orcid.org/0000-0002-9769-3725
ORCiD: Neil O'Connell https://orcid.org/0000-0003-1989-4537
Article number: e1320
Appears in Collections:Dept of Health Sciences Research Papers

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