Evidence map›Paper›PMID 30397686›Full record

ArticleJournal of diagnostic medical sonography : JDMS2019

Identification of Aberrant Muscle Bellies in the Carpal Tunnel using Sonography.

Sandy C Takata, Shawn C Roll

Registry-linked trialOpen access · bronzeAbstract read
In one paragraph

Article in Journal of diagnostic medical sonography : JDMS, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02587897 (Sonographic Tissue Morphology in Early Stage Work-related Median Nerve Pathology), which is not on this map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 31% 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.

NCT02587897 completednot on this map

Sonographic Tissue Morphology in Early Stage Work-related Median Nerve Pathology

TypeobservationalSponsorUniversity of Southern CaliforniaRan2016 to 2023Enrolled176ConditionsCarpal Tunnel SyndromeArmsAcademic Coursework, Work-Related Hand Activities
3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 10 citations in OpenAlex.

  1. Article
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 at 1 institution in 1 country.

Sandy C TakataChan Division of Occupational Science and Occupational Therapy, University of Southern California, Los Angeles, CA.
Shawn C RollChan Division of Occupational Science and Occupational Therapy, University of Southern California, Los Angeles, CA.
University of Southern California · US

Funding

Sonographic tissue morphology in early stage work-related median nerve pathologyR01OH010665 · OH · UNIVERSITY OF SOUTHERN CALIFORNIA · PI ROLL, SHAWN C. · 2015 to 2018
$2.3M
ACL HHS R01OH010665NIOSH CDC HHS R01 OH010665
6 · The paper itself

Abstract

Musculoskeletal sonography is being widely used for evaluation of structures within the carpal tunnel. While some anatomical variants, such as bifurcated median nerves and persistent median arteries, have been well documented, limited literature describes the sonographic appearance of aberrant muscle bellies within the carpal tunnel. Multiple examples of the sonographic appearance of flexor digitorum superficialis and lumbrical muscle bellies extending into the carpal tunnel are provided. Techniques for static image acquisition and analysis are discussed, and the use of dynamic imaging to confirm which specific muscle belly is involved is described. Knowledge of the potential presence of muscle bellies in these images and ability to identify these structures is vital to avoid misclassification or misdiagnosis as abnormal pathology. The case examples are situated among current published evidence regarding how such anomalies may be related to the development of pathologies, such as carpal tunnel syndrome.

Indexed as

aberrant muscleCarpal tunnelmusculoskeletal sonography

Identifiers

PMID30397686
PMCPMC6214479
OpenAlexW2897427260

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.