Article open access publication

The International Spinal Cord Injury Pain Extended Data Set (Version 1.0)

Spinal Cord, Springer Nature, ISSN 1476-5624

Volume 54, 11, 2016

DOI:10.1038/sc.2016.51, Dimensions: pub.1009462605, PMID: 27067653,



  1. (1) University of Miami, grid.26790.3a
  2. (2) Clinic for Spinal Cord Injuries, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
  3. (3) Icahn School of Medicine at Mount Sinai, grid.59734.3c
  4. (4) Aarhus University, grid.7048.b, AU
  5. (5) University of Washington, grid.34477.33
  6. (6) University of Alabama at Birmingham, grid.265892.2
  7. (7) Department of Pain Management, Greenwich Hospital, Hammond Care, Sydney, NSW, Australia
  8. (8) University of Sydney, grid.1013.3


OBJECTIVES: The objective of this study was to develop the International Spinal Cord Injury Pain Extended Data Set (ISCIPEDS) with the purpose of guiding the assessment and treatment of pain after spinal cord injury (SCI). SETTING: International. METHODS: The ISCIPEDS was reviewed by members of the International SCI Data Sets Committee, the International Spinal Cord Society Executive and Scientific Committees, American Spinal Injury Association and American Pain Society Boards, and the Neuropathic Pain Special Interest Group of the International Association for the Study of Pain, individual reviewers and societies. RESULTS: The working group recommended four assessment domains for the ISCIPEDS: (i) Pain symptoms including variables related to pain type, temporal course, severity, unpleasantness, tolerability of pain and questionnaires assessing pain type and symptom severity; (ii) Sensory signs to detect and quantify sensory abnormalities commonly associated with neuropathic pain, including dynamic mechanical and thermal allodynia, and hyperalgesia; (iii) Treatments (ongoing and past 12 months); and (iv) Psychosocial factors and comorbid conditions. CONCLUSION: The ISCIPEDS was designed to be used together with the International SCI Pain Basic Data Set and provide a brief yet thorough assessment of domains related to chronic pain in individuals with SCI. The data set includes pain-relevant self-reported assessments, questionnaires and sensory examinations. The recommendations were based on (i) their relevance to individuals with SCI and chronic pain, (ii) the existence of published findings supporting the utility of the selected measures for use in individuals with SCI, and to the greatest extent possible (iii) their availability in the public domain free of charge.

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2016: Unused

Research area: Medicine

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2016: Level 1

Research area: Medicine

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Times Cited: 14

Field Citation Ratio (FCR): 3.69

Relative Citation ratio (RCR): 1.77

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