Evidence map›Paper›PMID 36197873›Full record

ArticleIEEE transactions on bio-medical engineering2023

A Novel Analysis of CMAP Scans From Perspective of Information Theory: CMAP Distribution Index (CDIX).

Zhiyuan Lu, Maoqi Chen, Ya Zong, Xiaoyan Li, Ping Zhou

Abstract read
In one paragraph

Article in IEEE transactions on bio-medical engineering, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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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

6 citing papers in PubMed.

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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

5 authors.

Zhiyuan Lu
Maoqi Chen
Ya Zong
Xiaoyan Li
Ping Zhou

Funding

High-Density surface EMG based CMAP scan for motor unit number estimationR21NS113716 · NINDS · MEDICAL COLLEGE OF WISCONSIN · PI BARKHAUS, PAUL E, LI, XIAOYAN · 2020 to 2020
$432k
NINDS NIH HHS R21 NS113716
6 · The paper itself

Abstract

objectiveThe compound muscle action potential (CMAP) scan is a useful technique for examination of neuromuscular disorders. The objective of this study is to develop a novel analysis of CMAP scans from the perspective of information theory.

methodsA novel index parameter called CMAP distribution index (CDIX) was developed to characterize CMAP scan based on calculation of the information entropy. The performance of CDIX was evaluated using CMAP scan data from healthy control and spinal cord injury (SCI) subjects, and compared with D50 and MScanFit motor unit number estimation (MUNE).

resultsCDIX was significantly lower for the SCI subjects compared with the healthy control subjects (p < 0.001). A significant correlation ( R

conclusionCDIX can be inferred as a useful index reflecting motor unit loss and muscle fiber reinnervation changes.

Indexed as

Muscle, SkeletalSpinal Cord InjuriesAction PotentialsHealthy VolunteersHumansMotor Neurons

Identifiers

PMID36197873
PMCPMC11057325

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Registered trials

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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.