Evidence map›Paper›PMID 35441108›Full record

ReviewJournal of spine surgery (Hong Kong)2022

Gait assessment tools for degenerative cervical myelopathy: a systematic review.

Wen Jie Choy, Lingxiao Chen, Camila Quel De Oliveira, Arianne P Verhagen, Omprakash Damodaran, David B Anderson

Open access · diamondAbstract readReview
In one paragraph

Review in Journal of spine surgery (Hong Kong), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.0field-weighted citation impact, top 15% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Video-based finger kinematics for degenerative cervical myelopathy: a smartphone-based computer vision approach for screening.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026
    Article
  7. Observational
  8. Understanding degenerative cervical myelopathy in musculoskeletal practice.The Journal of manual & manipulative therapy · 2025
    Review
  9. Article
  10. Article
  11. Metabolic changes of thalamus assessed byFrontiers in neurology · 2024
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 1 country.

Wen Jie ChoyNeuroSpine Surgery Research Group (NSURG), Sydney, Australia.
Lingxiao ChenFaculty of Medicine and Health, The Back Pain Research Team, Sydney Musculoskeletal Health, The Kolling Institute, School of Health Sciences, University of Sydney, Sydney, Australia.
Camila Quel De OliveiraDiscipline of Physiotherapy, Graduate School of Health, University of Technology Sydney, Sydney, Australia.
Arianne P VerhagenDiscipline of Physiotherapy, Graduate School of Health, University of Technology Sydney, Sydney, Australia.
Omprakash DamodaranDepartment of Neurosurgery, Nepean Hospital, Sydney, Australia.
David B AndersonFaculty of Medicine and Health, School of Health Sciences, University of Sydney, New South Wales, Australia.
Nepean Hospital · AUUniversity of Technology Sydney · AUInstitute for Musculoskeletal Health · AUUniversity of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Degenerative cervical myelopathy (DCM) is a common progressive neurological disorder which may affect one's activities of daily living or even result in paraplegia/tetraplegia if left untreated. Currently, there is lack of consensus of the gait assessment tools for DCM. This systematic review aims to (I) provide an appraisal of the psychometric properties of the available gait assessment tools for DCM, (II) to assess their methodological quality according to The Consensus-based Standards for the selection of health Measurement COSMIN risk of bias checklist and (III) to assess each measurement property result against externally validated criteria. Methods: Six electronic full-text databases [PubMed (via NLM Results: Twenty studies were included from 3,339 citations retrieved. Twelve assessment tools for assessing gait in DCM were identified. According to COSMIN criteria, only five studies (25%) included in this review were found to have "very good" methodological quality. For construct validity, five tools had "sufficient" quality. For reliability, two assessment tools [the Total modified Japanese Orthopaedic Association Score (Italian Translation) (mJOA-ITTotal) and the modified Japanese Orthopaedic Association (Italian Translation) Motor dysfunction of the Lower Extremity (mJOA-ITMDLE)] were rated as "sufficient" for interobserver reliability while six assessment tools (the 10 second step test (10 sec ST), 30 minute walk test (30MWT), foot tapping test, mJOA-ITTotal, mJOA-ITMDLE and the Japanese Orthopaedic Association Cervical Myelopathy Evaluation Questionnaire) were rated as "sufficient" for test-retest reliability. The JOA (6 scores) received a "sufficient" rating for internal consistency. No assessment was available for responsiveness, as only the effect size was available. Discussion: Based upon current evidence, the mJOA in combination with an objective functional test (i.e., 30MWT) is recommended for clinicians assessing gait in DCM, although this may change with an increase in the number of studies completed. Given the importance of assessment tools possessing adequate measurement properties, a focus on studies in this area is warranted.

Indexed as

cervical myelopathycervical spondylosisgait assessmentMeasurement propertiesspinal stenosis

Identifiers

PMID35441108
PMCPMC8990400
OpenAlexW4220853938

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.