Evidence map›Paper›PMID 41821044›Full record

SynthesisJournal of neuroengineering and rehabilitation2026

Gait analysis methods in people with spinal cord injury: a systematic review.

Marta Mirando, Alice Cleo Panara, Giacomo Rossi, Valeria Pingue, Antonio Nardone, Chiara Pavese

Abstract readSystematic Review
In one paragraph

Synthesis in Journal of neuroengineering and rehabilitation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Marta MirandoDepartment of Clinical-Surgical, Diagnostic and Pediatric Sciences, University of Pavia, Pavia, Italy.
Alice Cleo PanaraIstituti Clinici Scientifici Maugeri IRCCS, Neurorehabilitation and Spinal Units and Centro Studi Attività Motorie (CSAM) of Pavia Institute, Pavia, Italy.
Giacomo RossiIstituti Clinici Scientifici Maugeri IRCCS, Neurorehabilitation and Spinal Units and Centro Studi Attività Motorie (CSAM) of Pavia Institute, Pavia, Italy.
Valeria PingueDepartment of Clinical-Surgical, Diagnostic and Pediatric Sciences, University of Pavia, Pavia, Italy.
Antonio NardoneDepartment of Clinical-Surgical, Diagnostic and Pediatric Sciences, University of Pavia, Pavia, Italy. antonio.nardone@icsmaugeri.it.
Chiara PaveseDepartment of Clinical-Surgical, Diagnostic and Pediatric Sciences, University of Pavia, Pavia, Italy.

Funding

Italian Ministry of Universities and Research #PNC0000007
6 · The paper itself

Abstract

backgroundSpinal cord injury (SCI) leads to impairments in motor, sensory, and autonomic pathways, often resulting in significant disability and reduced quality of life. Recovery of ambulation is a priority for people with SCI and vital for regaining independence and social participation. The increasing incidence of incomplete SCI, especially from non-traumatic causes like degenerative cervical myelopathy, has amplified the clinical relevance of gait recovery. Although gait analysis is widely applied in neurological conditions, its use in people with SCI remains limited, and there is no consensus on standardized protocols or essential methods. This systematic review aimed to identify and summarize the instrumentation and measures used in gait analysis of people with SCI. MATERIALS AND

methodsThe review protocol was registered with PROSPERO (CRD42024520587). Electronic databases including PubMed, Embase, Web of Science, Scopus, and Cochrane Library were searched up to May 1, 2025. Inclusion criteria focused on studies involving adult people with SCI capable of walking with or without aids, using computer-based gait analysis tools. Selected studies were analyzed for methodological quality, level of evidence (LoE), types of gait measures assessed, and instrumentation used.

resultsWe included 48 studies. Over half of studies were fair quality (54%), while LoE was 2 in nearly half of studies (48%). Spatio-temporal measures were most frequently assessed (255 recordings), particularly gait speed (35 studies), cadence (26), step length (24), stride length (23), and step width (20). Kinematic measures were recorded 108 times, surface electromyographic (sEMG) measures 63 times, and kinetic measures 21 times. Three-dimensional motion capture systems dominated instrumentation (30 studies), followed by sEMG (12), force platforms (11), instrumented walkways (10) and inertial measurement units (8).

conclusionThis review highlights a strong preference for spatio-temporal and kinematic measures due to their clinical relevance, ease of interpretation, and alignment with rehabilitation goals in SCI. Despite their value, kinetic and sEMG measures were underused, likely due to complexity, limited standardization and barriers to clinical implementation. The findings underscore the need for standardized protocols and broader clinical integration of gait analysis to optimize functional outcomes, and our systematic review provides a basis for future research and clinical applications in people with SCI.

Indexed as

GaitGait AnalysisSpinal Cord InjuriesHumansGait analysisGait measuresMovement analysisRehabilitationSpinal cord injuriesWalking

Identifiers

PMID41821044
PMCPMC13097740

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.