Evidence map›Paper›PMID 39648215›Full record

ArticleSpinal cord series and cases2024

Integration of functional electrical stimulation during robotic-assisted intervention to increase bone mineral density in individuals with complete spinal cord injury: case report.

Charlotte H Pion, Murielle Grangeon

Abstract readCase Reports
In one paragraph

Article in Spinal cord series and cases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

2 authors.

Charlotte H PionNeuroTeQ, Research & Development Department, Neuro-Concept Inc., Montreal, QC, Canada. cpion@neuro-concept.com.
Murielle GrangeonNeuroTeQ, Research & Development Department, Neuro-Concept Inc., Montreal, QC, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionA spinal cord injury (SCI) leads to an alteration of the central nervous system which significantly impacts the health, function and quality of life of those affected. Since SCI leads to a loss lower limbs usage, sublesional osteoporosis is a common and established consequence with high risk of fracture in this population. The mechanical loading remains the most effective approach to stimulate physiologic bone remodeling. Furthermore, functional electrical stimulation, by producing active muscle contractions, would also increase bone mineral density. Combining functional electrical stimulation (FES) with mechanical stress during functional task such as walking or cycling would provide better results on BMD. CASE PRESENTATION: This case report describes a 64-years old man with a chronic complete SCI (T2-T3; AIS A) who was gradually exposed to mechanical stress (walking robot, standing, bicycle) coupled with FES for 26 months. Bone mineral density of the femoral head (BMDf) was defined at 3 different time points (baseline, after 10 and 26 months). The Fracture Risk Assessment Tool (FRAX) was used to calculate T-scores based on BMDf. Before the intervention, BMDf indicated severe osteoporosis in this man. After 10 months of combined intervention, the BMDf decreased to reach the level of osteopenia after 26 months. DISCUSSION: The implementation of an intervention combining weight-bearing during robotic-assisted walking and FES would improve bone mineral density and could reduce the risk of fracture in people with complete SCI.

Indexed as

Bone DensityElectric Stimulation TherapySpinal Cord InjuriesHumansMaleMiddle AgedOsteoporosisRoboticsWalking

Identifiers

PMID39648215
PMCPMC11625824

What OpenQuestion holds

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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.