Evidence map›Paper›PMID 42293100›Full record

ArticleFrontiers in neurology

Mechanomyography as a novel marker of nerve dysfunction and recovery in chronic entrapment neuropathy.

Saad Javeed, Braeden Benedict, Yameng Xu, Nathan Birenbaum, Muhammad Kaleem, Ying Yan, Matthew MacEwan, Wilson Z Ray

Abstract read
In one paragraph

Article in Frontiers in neurology. 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
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0citing papers in PubMed
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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

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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

8 authors.

Saad Javeed *Department of Neurological Surgery, Washington University, St. Louis, MO, United States.
Braeden Benedict *Department of Neurological Surgery, Washington University, St. Louis, MO, United States.
Yameng Xu *Department of Neurological Surgery, Washington University, St. Louis, MO, United States.
Nathan BirenbaumDepartment of Neurological Surgery, Washington University, St. Louis, MO, United States.
Muhammad KaleemDepartment of Neurological Surgery, Washington University, St. Louis, MO, United States.
Ying YanDepartment of Neurological Surgery, Washington University, St. Louis, MO, United States.
Matthew MacEwanDepartment of Neurological Surgery, Washington University, St. Louis, MO, United States.
Wilson Z RayDepartment of Neurological Surgery, Washington University, St. Louis, MO, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: There is a need for objective metrics to quantify the degree of nerve dysfunction resulting from chronic entrapment neuropathy. Mechanomyography (MMG) detects mechanical motor activity after nerve stimulation using accelerometry, and it may be a useful tool for quantifying nerve function. Compared to traditional electrodiagnostic testing, MMG offers practical advantages including resistance to electrical interference and non-invasive sensor placement. The aim of this study was to investigate the association between MMG and nerve dysfunction secondary to chronic nerve compression in a rodent model, comparing these results to established electrodiagnostic and histologic metrics. Methods: Lewis rats ( Results: Compared across all timepoints, compressed nerves had increased MMG-st (control: 0.32 ± 0.09 mA, compressed: 0.42 ± 0.11 mA, Discussion: MMG-st was elevated after compression and improved following decompression, with statistically significant correlations to other established metrics. These results support a potential role for MMG in chronic entrapment neuropathies as an objective biomarker for quantifying nerve dysfunction and monitoring decompression adequacy.

Indexed as

accelerometrychronic entrapment neuropathymechanomyography (MMG)MMG biosignalnerve entrapment

Identifiers

PMID42293100
PMCPMC13259682

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