Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/31479
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dc.contributor.authorSmart, KM-
dc.contributor.authorAbbott-Fleming, V-
dc.contributor.authorBirklein, F-
dc.contributor.authorBruehl, S-
dc.contributor.authorCorcoran, E-
dc.contributor.authorDay, S-
dc.contributor.authorFerraro, MC-
dc.contributor.authorGrieve, S-
dc.contributor.authorHilgers, R-D-
dc.contributor.authorIngram, C-
dc.contributor.authorKeene, DJ-
dc.contributor.authorKönig, F-
dc.contributor.authorMcCabe, C-
dc.contributor.authorNikolakopoulos, S-
dc.contributor.authorO'Connell, NE-
dc.date.accessioned2025-06-16T20:00:29Z-
dc.date.available2025-06-16T20:00:29Z-
dc.date.issued2025-10-03-
dc.identifierORCiD: Keith M Smart https://ordicd.org/0000-0002-1598-5215-
dc.identifierORCiD: Victoria Abbott-Fleming https://ordicd.org/0009-0004-3953-8040-
dc.identifierORCiD: Frank Birklein https://ordicd.org/0000-0002-6672-4226-
dc.identifierORCiD: Stephen Bruehl https://ordicd.org/0000-0003-2264-4758-
dc.identifierORCiD: Erica Corcoran Not applicable-
dc.identifierORCiD: Simon Day https://orcid.org/0000-0002-5672-6818-
dc.identifierORCiD: Michael C Ferraro https://orcid.org/0000-0003-0563-1832-
dc.identifierORCiD: Sharon Grieve https://orcid.org/0000-0002-3509-3468-
dc.identifierORCiD: Ralf-Dieter Hilgers https://orcid.org/0000-0002-5945-1119-
dc.identifierORCiD: Carolyn Ingram https://orcid.org/0000-0002-3789-1463-
dc.identifierORCiD: David J Keene https://orcid.org/0000-0001-7249-6496-
dc.identifierORCiD: Franz König https://orcid.org/0000-0002-6893-3304-
dc.identifierORCiD: Candida McCabe https://orcid.org/0000-0002-3593-0027-
dc.identifierORCiD: Stavros Nikolakopoulos https://orcid.org/0000-0002-9769-3725-
dc.identifierORCiD: Neil O'Connell https://orcid.org/0000-0003-1989-4537-
dc.identifierArticle number: e1320-
dc.identifier.citationSmart, 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.en_US
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/31479-
dc.descriptionSupplemental digital content: Supplemental digital content associated with this article can be found online at https://doi.org/10.17605/OSF.IO/894MQ .en_US
dc.descriptionA 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.-
dc.description.abstractIntroduction: 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.en_US
dc.description.sponsorshipThis project was funded through an ERA-NET NEURON Joint Transnational Networking Group Call “Networking Groups on Chronic Pain” (Reference: ERA NET NEURON-NG-2022-1). DJK is supported by the National Institute for Health and Care Research (NIHR) Exeter Biomedical Research Centre (BRC). The views expressed are those of the authors and not necessarily those of the NIHR or the Department of Health and Social Care. RDH’s contribution to the paper is funded as part of WP20 through the European Joint Programme on Rare Diseases under the European Union’s Horizon 2020 Research and Innovation Programme (Grant This project was funded through an ERA-NET NEURON Joint Transnational Networking Group Call “Networking Groups on Chronic Pain” (Reference: ERA NET NEURON-NG-2022-1). KMS was the project lead and is the guarantor, he conceived and designed the project, was awarded the funding and drafted the manuscript. All named authors attended meetings, provided project-related content, and edited the manuscript. All authors have reviewed and approved the manuscript. DJK is supported by the National Institute for Health and Care Research (NIHR) Exeter Biomedical Research Centre (BRC). The views expressed are those of the authors and not necessarily those of the NIHR or the Department of Health and Social Care. RDH's contribution to the paper is funded as part of WP20 through the European Joint Programme on Rare Diseases under the European Union's Horizon 2020 Research and Innovation Programme (Grant Agreement Number 825575) and as part of ERICA (under Grant Agreement No. 964908). RDH is also coordinator and FK member of RealiseD which is supported by the Innovative Health Initiative Joint Undertaking (IHI JU) under Grant Agreement No 101165912. The JU receives support from the European Union's Horizon Europe research and innovation programme and COCIR, EFPIA, Europa Bío, MedTech Europe, and Vaccines Europe.en_US
dc.format.extent1 - 12-
dc.format.mediumElectronic-
dc.language.isoen_USen_US
dc.publisherWolters Kluwer Health, Inc. on behalf of The International Association for the Study of Painen_US
dc.relation.urihttps://osf.io/preprints/osf/x5zsy_v1-
dc.rightsCreative Commons Attribution 4.0 International-
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/-
dc.subjectclinical trialen_US
dc.subjectcomplex regional pain syndromeen_US
dc.subjectmethodological frameworken_US
dc.titleOptimising clinical trial methods for complex regional pain syndrome (CRPS): a methodological framework (OptiMeth-CRPS)en_US
dc.typeArticleen_US
dc.date.dateAccepted2025-06-02-
dc.identifier.doihttps://doi.org/10.1097/PR9.0000000000001320-
dc.relation.isPartOfPAIN Reports-
pubs.issue6-
pubs.publication-statusPublished-
pubs.volume10-
dc.rights.licensehttps://creativecommons.org/licenses/by/4.0/legalcode.en-
dcterms.dateAccepted2025-06-02-
dc.rights.holderThe Author(s)-
Appears in Collections:Dept of Health Sciences Research Papers

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