Evidence map›Paper›PMID 38745814›Full record

ArticleCureus2024

Selective Peripheral Denervation and Selective Nerve Injury for the Treatment of Cervical Dystonia Through a Periauricular Incision.

Brian Mailey, Blake M Sparkman, Alina K Sinha, Timothy Daugherty, Kevin Calder

Abstract readCase Reports
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Brian MaileyInstitute for Plastic Surgery, Southern Illinois University School of Medicine, Springfield, USA.
Blake M SparkmanPlastic and Reconstructive Surgery, Saint Louis University School of Medicine, Saint Louis, USA.
Alina K SinhaPlastic and Reconstructive Surgery, University of Missouri-Kansas City School of Medicine, Kansas City, USA.
Timothy DaughertyInstitute for Plastic Surgery, Southern Illinois University School of Medicine, Springfield, USA.
Kevin CalderPlastic and Reconstructive Surgery, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Traditional selective peripheral denervation methods for treating cervical dystonia (CD) involve complete transection of the nerves to muscles through a posterior incision proximally after they exit the spinal cord. This report presents a case where anterior muscles involved in CD cannot be easily addressed through the traditional posterior approach. Furthermore, complete denervation of certain muscles, such as the trapezius, can lead to functional limitations. The objective of this report is to describe an anterior surgical treatment approach for focal CD. Specifically, we describe the use of a periauricular incision to perform selective peripheral denervation of anterior and posterior neck muscles at a more peripheral location near their target muscle entry point. Complete denervation was performed for expendable muscles while Sunderland third-degree nerve injury was performed to weaken nonexpendable muscles. This approach facilitates clearer identification of nerves as they enter the pathologic target muscle. Additionally, the therapeutic use of Sunderland third-degree nerve injury in the treatment of CD is a useful adjunct to muscles that are nonexpendable as it allows for only partial denervation as opposed to complete denervation with traditional methods.

Indexed as

cervical dystoniaperiauricular incisionperipheral denervationretrocollissunderland nerve injurytorticollis

Identifiers

PMID38745814
PMCPMC11093033

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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.