Evidence map›Paper›PMID 41127291›Full record

ReviewFrontiers in neurology2025

Three-dimensional gait analysis in spinal disorders: biomechanical insights and clinical applications for diagnosis, surgical planning, and rehabilitation.

Jun Yin, Wei Cong, Yanguo Wang, Chao Zhou

Abstract readReview
In one paragraph

Review in Frontiers in neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Gait analysis methods in people with spinal cord injury: a systematic review.Journal of neuroengineering and rehabilitation · 2026
    Pooled it
  2. Article
  3. Walking as a Window to the Brain: Redefining Gait in Neurology.Medical sciences (Basel, Switzerland) · 2026
    Review
  4. Article
  5. Review
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

4 authors.

Jun YinDepartment of Spinal Surgery, Qilu Hospital of Shandong University (Qingdao), Qingdao, China.
Wei CongDepartment of Spinal Surgery, Qilu Hospital of Shandong University (Qingdao), Qingdao, China.
Yanguo WangDepartment of Spinal Surgery, Qilu Hospital of Shandong University (Qingdao), Qingdao, China.
Chao ZhouDepartment of Spinal Surgery, Qilu Hospital of Shandong University (Qingdao), Qingdao, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Three-dimensional gait analysis technology offers a novel perspective for the study and clinical application of spinal disorders, enabling a deeper understanding of patients' movement patterns and their biomechanical characteristics. This review synthesizes the use of three-dimensional gait analysis in spinal disorders, emphasizing its significance in diagnosis, surgical planning, and rehabilitation. By analyzing relevant literature, we explore how three-dimensional gait analysis assists in identifying biomechanical abnormalities associated with spinal diseases, optimizing surgical strategies, and enhancing rehabilitation outcomes. Furthermore, this article discusses future research directions and the potential impact of technological advancements on clinical practice, highlighting the essential role that gait analysis can play in improving patient care in the context of spinal disorders.

Indexed as

central nervous system injurycognitive impairmentrehabilitationspinal disordersthree-dimensional gait analysis

Identifiers

PMID41127291
PMCPMC12537708

What Socratic holds

Textmetadata
LicenceCC BY
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.