Evidence map›Paper›PMID 35795257›Full record

ArticleApplied bionics and biomechanics2022

Electrophysiological Characteristics of Cervical Spinal Stenosis.

Yanrong Wang, Yinping Zhan, Xiaolan Jin, Dandan Shen, Ling Wang, Tingting Cao, Hong Jiang

RetractedOpen access · goldAbstract readRetracted Publication
In one paragraph

Article in Applied bionics and biomechanics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 47% of its field
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 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Yanrong WangDepartment of Electromyography, Zhejiang University School of Medicine Sir Run Run Shaw Hospital, Hangzhou, China.
Yinping ZhanDepartment of Electromyography, Zhejiang University School of Medicine Sir Run Run Shaw Hospital, Hangzhou, China.
Xiaolan JinDepartment of Electromyography, Zhejiang University School of Medicine Sir Run Run Shaw Hospital, Hangzhou, China.
Dandan ShenDepartment of Electromyography, Zhejiang University School of Medicine Sir Run Run Shaw Hospital, Hangzhou, China.
Ling WangDepartment of Electromyography, Zhejiang University School of Medicine Sir Run Run Shaw Hospital, Hangzhou, China.
Tingting CaoDepartment of Electromyography, Zhejiang University School of Medicine Sir Run Run Shaw Hospital, Hangzhou, China.
Hong JiangDepartment of Electromyography, Zhejiang University School of Medicine Sir Run Run Shaw Hospital, Hangzhou, China.ORCID https://orcid.org/0000-0002-3308-7291
Sir Run Run Shaw Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To investigate electrophysiological characteristics of patients with cervical spinal stenosis (CSS) due to cervical disc herniation. Methods: A total of 51 patients with CSS diagnosed in our hospital from January 2018 to March 2020 were selected. According to magnetic resonance imaging (MRI), the degree of spinal cord compression was divided into 1-3 grades, namely, group A (MRI grade 1), group B (MRI grade 2), and group C (MRI grade 3), with 17 cases in each group. Subsequently, we analyzed the correlation of the degree of spinal cord compression with the general information, clinical data, and electromyography (EMG) of patients. Results: Compared with group A and group B, group C had the longest disease course [(48.06 ± 17.71) months], the lowest JOA score (4.59 ± 2.15), and the highest number of positive results of EMG (EMG: A/B/C, 25/51/77); there were significant differences among the 3 groups. And group C had the higher number of positive cases of both upper and lower limbs in SEP test compared with the other two groups (SEP: A/B/C: 12/18/29: Conclusion: This study primarily verifies that higher MRI grade of CSS is associated with longer disease duration and lower JOA score and EMG. The obtained results secondarily demonstrate the correlation between abnormal neurological status and the MRI grade.

Identifiers

PMID35795257
PMCPMC9251139
OpenAlexW4283581847

What OpenQuestion holds

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LicenceCC BY
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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.