ArticleSpinal cord2022
A taxonomy for consistent handling of conditions not related to the spinal cord injury (SCI) in the International Standards for Neurological Classification of SCI (ISNCSCI).
Article in Spinal cord, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 15 citations in OpenAlex.
- Recurrent Cystolithiasis with Urethral Obstruction in a Rhesus Macaque (Macaca mulatta) after a Bilateral S1 Ventral Root Avulsion Injury.Journal of the American Association for Laboratory Animal Science : JAALAS · 2026Article
- International Standards for Neurological Classification of Spinal Cord Injury: Classification Questions and Cases.Topics in spinal cord injury rehabilitation · 2025Article
- Development and Validation of an Algorithm for Item Reduction of the International Standards for Neurological Classification of Spinal Cord Injury Examination to Determine Level and Severity of SCI.Topics in spinal cord injury rehabilitation · 2025Article
- International Standards for Neurological Classification of Spinal Cord Injury: Case Examples Reinforcing Concepts From the 2019 Revision.Topics in spinal cord injury rehabilitation · 2025Article
- Clarifications of the Motor Level Definition in the International Standards for Neurological Classification of Spinal Cord Injury in Not Clinically Testable Myotomes.Topics in spinal cord injury rehabilitation · 2025Article
- Article
- Computer International Standards for Neurological Classification of Spinal Cord Injury (ISNCSCI) algorithms: a review.Spinal cord · 2023Review
- Impact of Heterotopic Ossification on Functional Recovery in Acute Spinal Cord Injury.Frontiers in cellular neuroscience · 2022Article
- Implementation of multilingual support of the European Multicenter Study about Spinal Cord Injury (EMSCI) ISNCSCI calculator.Spinal cord · 2022Article
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Authors and funding
7 authors at 12 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
STUDY
designCommittee consensus process including additional structured feedback from spinal cord injury (SCI) experts attending a focus group workshop.
objectivesTo define a taxonomy for standardized documentation of non-SCI-related conditions in the International Standards for Neurological Classification of SCI (ISNCSCI).
settingAmerical Spinal Injury Association (ASIA) International Standards Committee with 16 international ISNCSCI experts.
methodsWith the new taxonomy, not-normal sensory or motor scores should be tagged with an asterisk ("*"), if they are impacted by a non-SCI condition such as burns, casts, joint contractures, peripheral nerve injuries, amputations, pain, or generalized weakness. The non-SCI condition and instructions on how to handle the "*"-tagged scores during classification should be detailed in the comments box. While sum scores are always calculated based on examined scores, classification variables such as the neurological level of injury (NLI) or the ASIA Impairment Scale (AIS) grades are tagged with an "*", when they have been determined on the basis of clinical assumptions.
resultsWith the extended "*"-tag concept, sensory and motor examination results impacted by non-SCI conditions above, at, or below the NLI can be consistently documented, scored, and classified. Feedback from workshop participants confirms agreement on its clinical relevance, logic and soundness, easiness of understanding, communicability, and applicability in daily work.
conclusionsAfter multiple internal revisions, a taxonomy for structured documentation of conditions superimposed on the impairments caused by the SCI together with guidelines for consistent scoring and classification was released with the 2019 ISNCSCI revision. This taxonomy is intended to increase the accuracy of ISNCSCI classifications.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.