Evidence map›Paper›PMID 34760599›Full record

ReviewAustralasian journal of ultrasound in medicine2020

Ultrasound parameters to identify and diagnose carpal tunnel syndrome. A review of the literature.

Callum Linehan, Jessie Childs, Ann E Quinton, Aamer Aziz

Abstract readReview
In one paragraph

Review in Australasian journal of ultrasound in medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

4 authors.

Callum LinehanMedical Imaging Department Ultrasound Mid North Coast Diagnostic Imaging Forster New South Wales Australia.ORCID https://orcid.org/0000-0002-6403-6446
Jessie ChildsSchool of Health Sciences University of South Australia Adelaide South Australia Australia.
Ann E QuintonSchool of Health Medical and Applied Science Central Queensland University Sydney New South Wales Australia.ORCID https://orcid.org/0000-0001-6585-7468
Aamer AzizSchool of Health Medical and Applied Sciences Central Queensland University Mackay Queensland Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Numerous works of literature have assessed the use of ultrasound to detect carpal tunnel syndrome, suggesting various techniques and cut-off values. Currently, an effective parameter and cut-off value are still debated. The aim of this review is to determine if these parameters have sufficient rigour to allow their use in clinical practice. Twenty-one studies using sonographic parameters to identify carpal tunnel syndrome in comparison with electrodiagnostic testing (EDx) were selected for review. Methodological differences were found between studies in the use of EDx criteria, scanning and recruitment protocols, with participant biometrics often not reported. Parameters including the cross-sectional area of the median nerve at the level of the pisiform bone in addition to the wrist-to-forearm difference demonstrated high diagnostic utility for set cut-off values. Doppler techniques and mobility are promising, and further research is required to understand the effectiveness of these techniques.

Indexed as

carpal tunnel syndromecross‐sectional areaelectrodiagnosticelectrophysiologicultrasound

Identifiers

PMID34760599
PMCPMC8411739

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.