Evidence map›Paper›PMID 30065525›Full record

ArticleJournal of medical ultrasound

Ultrasonographic Reference Values for Assessing Normal Sciatic Nerve Ultrasonography in the Normal Population.

Jun Chen, Jiapeng Liu, Jiao Zeng, Shan Wu, Jun Ren

Open access · diamondAbstract read
In one paragraph

Article in Journal of medical ultrasound. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

12 citing papers in PubMed, 22 citations in OpenAlex.

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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 at 3 institutions in 2 countries.

Jun ChenDepartment of Neurology, Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou Province, China.
Jiapeng LiuDepartment of Neurology, Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou Province, China.
Jiao ZengDepartment of Neurology, Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou Province, China.
Shan WuDepartment of Neurology, Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou Province, China.
Jun RenCenter for Cardiovascular Research and Alternative Medicine, University of Wyoming College of Health Sciences, Laramie, WY, United States.
Guiyang Medical University · CNAffiliated Hospital of Guizhou Medical University · CNUniversity of Wyoming · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveHigh-resolution ultrasonography (HRUS) has been used recently to characterize median and ulnar nerves but is seldom used to characterize the lower extremity nerves. The reference standard for normal the lower extremity nerves has not been established. Thus, this study measured the cross-sectional areas (CSAs) of the sciatic nerve of 200 healthy male or female volunteers, aged 18-80 using HRUS. These data provide basic clinical data for the use of high-resolution ultrasound for the future diagnosis, treatment, and prognostic evaluation of peripheral neuropathies.

methodsTwo hundred healthy volunteers with 400 lower extremities were studied with HRUS. According to their age, the subjects were assigned to young group (18-30 years,

resultsThe mean CSAs of sciatic nerves at GS and MGPF were 0.527 ± 0.028 cm

conclusionPeripheral nerve ultrasonography is a reliable and reproducible diagnostic method in the hands of experienced examiners. Normal values for the sciatic nerve nerves are provided by our study. Thus, reference values of Sciatic nerve CSA of the lower extremity can facilitate the analysis of abnormal nerve conditions.

Indexed as

Cross-sectional areahigh-resolution ultrasonographynerve lesionperipheral nervesciatic nervethe lower extremity peripheral nerve

Identifiers

PMID30065525
PMCPMC6029205
OpenAlexW2802960756

What OpenQuestion holds

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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.