• Benjamin M Davies, Xiaoyu Yang, Danyal Z Khan, Oliver D Mowforth, Alvaro Y Touzet, Aria Nouri, James S Harrop, Bizhan Aarabi, Vafa Rahimi-Movaghar, Shekar N Kurpad, James D Guest, Lindsay Tetreault, Brian K Kwon, Timothy F Boerger, Ricardo Rodrigues-Pinto, Julio C Furlan, Robert Chen, Carl M Zipser, Armin Curt, James Milligan, Sukhivinder Kalsi-Rayn, Ellen Sarewitz, Iwan Sadler, Tammy Blizzard, Caroline Treanor, David Anderson, Nader Fallah, Olesja Hazenbiller, Carla Salzman, Zachary Zimmerman, Anne M Wandycz, Shirley Widdop, Margaret Reeves, Rye Raine, Sukvinder K Ryan, Ailish Malone, Ali Gharooni, Jefferson R Wilson, Allan R Martin, Michael G Fehlings, McNairAngus G KAGK0000-0002-2601-9258Centre for Surgical Research, Bristol Medical School: Population Health Sciences, University of Bristol, Bristol, United Kingdom., Mark R N Kotter, and AO SPINE RECODE-DCM Steering Committee and AO Spine RECODE DCM Community.
• Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom.
• PLoS Med. 2024 Aug 1; 21 (8): e1004447e1004447.

BackgroundDegenerative cervical myelopathy (DCM) is a progressive chronic spinal cord injury estimated to affect 1 in 50 adults. Without standardised guidance, clinical research studies have selected outcomes at their discretion, often underrepresenting the disease and limiting comparability between studies. Utilising a standard minimum data set formed via multi-stakeholder consensus can address these issues. This combines processes to define a core outcome set (COS)-a list of key outcomes-and core data elements (CDEs), a list of key sampling characteristics required to interpret the outcomes. Further "how" these outcomes should be measured and/or reported is then defined in a core measurement set (CMS). This can include a recommendation of a standardised time point at which outcome data should be reported. This study defines a COS, CDE, and CMS for DCM research.Methods And FindingsA minimum data set was developed using a series of modified Delphi processes. Phase 1 involved the setup of an international DCM stakeholder group. Phase 2 involved the development of a longlist of outcomes, data elements, and formation into domains. Phase 3 prioritised the outcomes and CDEs using a two-stage Delphi process. Phase 4 determined the final DCM minimal data set using a consensus meeting. Using the COS, Phase 5 finalised definitions of the measurement construct for each outcome. In Phase 6, a systematic review of the literature was performed, to scope and define the psychometric properties of measurement tools. Phase 7 used a modified Delphi process to inform the short-listing of candidate measurement tools. The final measurement set was then formed through a consensus meeting (Phase 8). To support implementation, the data set was then integrated into template clinical research forms (CRFs) for use in future clinical trials (Phase 9). In total, 28 outcomes and 6 domains (Pain, Neurological Function, Life Impact, Radiology, Economic Impact, and Adverse Events) were entered into the final COS. Thirty two outcomes and 4 domains (Individual, Disease, Investigation, and Intervention) were entered into the final CDE. Finally, 4 outcome instruments (mJOA, NDI, SF-36v2, and SAVES2) were identified for the CMS, with a recommendation for trials evaluating outcomes after surgery, to include baseline measurement and at 6 months from surgery.ConclusionsThe AO Spine RECODE-DCM has produced a minimum data set for use in DCM clinical trials today. These are available at https://myelopathy.org/minimum-dataset/. While it is anticipated the CDE and COS have strong and durable relevance, it is acknowledged that new measurement tools, alongside an increasing transition to study patients not undergoing surgery, may necessitate updates and adaptation, particularly with respect to the CMS.Copyright: © 2024 Davies et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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