Evidence mapPaperPMID 40537873Full record

ReviewEuropean journal of medical research2025

Neuromodulation techniques for the treatment of spinal cord injury: current progress, challenges, and future prospects.

Li Wenqiang, Chen Zhian, Liu Hua, Li Yang, Cui Yi, Cai Zhijun

Abstract readReview
In one paragraph

Review in European journal of medical research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. 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

6 authors.

Li WenqiangKunming Medical University, Kunming, 650500, China.
Chen ZhianKunming Medical University, Kunming, 650500, China.
Liu Hua920th Hospital of Joint Logistics Support Force, PLA, Kunming, 650032, China.
Li Yang920th Hospital of Joint Logistics Support Force, PLA, Kunming, 650032, China.
Cui Yi920th Hospital of Joint Logistics Support Force, PLA, Kunming, 650032, China.
Cai Zhijun920th Hospital of Joint Logistics Support Force, PLA, Kunming, 650032, China. yncaizhijun@163.com.

Funding

Yunnan Provincial Department of Science and Technology 202301AT070295
6 · The paper itself

Abstract

Spinal cord injury (SCI) is considered one of the key factors leading to severe loss of motor and sensory function, which has a profound negative impact on the quality of life of patients. With the continuous development of medical technology, neurostimulation techniques have gradually shown their importance in treating spinal cord injuries, demonstrating the potential for positive effects on functional recovery. Currently, various neurostimulation methods, including electrical stimulation, drug therapy, and biofeedback, have been employed in clinical research on spinal cord injury. Although we have achieved certain progress, there are still many unresolved mysteries regarding the performance and mechanisms of these technologies in actual clinical applications. At the same time, challenges such as individual differences and treatment efficacy evaluation also arise in clinical practice. This study aims to comprehensively review the latest research advancements in spinal cord injury neurostimulation technologies, explore their practical applications and related mechanisms in the process of functional recovery, and analyze potential future research directions, to provide innovative ideas and strategies for the treatment of spinal cord injuries.

Indexed as

Electric Stimulation TherapySpinal Cord InjuriesHumansRecovery of FunctionFunctional recoveryNeural regulationResearch progressSpinal cord injuryTreatment techniques

Identifiers

PMID40537873
PMCPMC12178020

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.