Evidence map›Paper›PMID 31745617›Full record

ArticleSurgical and radiologic anatomy : SRA2020

Anatomical study of the deep branch of the ulnar nerve and application to selective neurectomy in the treatment of spasticity of the first web space.

Nathalie Bini, Caroline Leclercq

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Article in Surgical and radiologic anatomy : SRA, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

4 citing papers in PubMed, 20 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

2 authors at 2 institutions in 2 countries.

Nathalie BiniCTO, Turin, Italy. nathalie.bini@gmail.com.ORCID http://orcid.org/0000-0002-3785-251X
Caroline LeclercqInstitut de la Main, Paris, France.
CTO Hospital · ITInstitut de la Main · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeSpasticity of the first web space is common in upper limb spasticity. Selective neurectomy is one of the treatments that can reduce spasticity. The purpose of this study was to describe the variations of the deep motor branch of the ulnar nerve for the adductor pollicis (AP) and the first dorsal interosseous muscle (DIO) to assess the feasibility of selective neurectomy and suggest an ideal surgical approach.

methodsThe deep branch of the ulnar nerve (DBUN) was dissected in 21 hands. Measurements included the distance between the point of passage of the DBUN between the two heads of the adductor and three anatomical landmarks: the bi-styloid line, the flexor carpi radialis and the pisiform bone, and the number and mode of divisions of each branch.

resultsThe point of passage of the DBUN between the two heads of the adductor is very constant respective to the landmarks. The DBUN gives off 1-3 branches each for the oblique head of the AP, the transverse head, and the first DIO. Muscles receive more than one branch in 95% cases for the oblique head and 62% of cases for the transverse head, and 100% for the DIO.

conclusionsThis anatomical study suggests that selective neurectomy is feasible for the AP and first DIO muscles in most cases. An ideal approach for selective neurectomy of these muscles should start from the point of passage of the DBUN between the two heads of the AP. This point is easily identified with the help of the described landmarks.

Indexed as

Anatomic VariationAgedCadaverDenervationFeasibility StudiesFemaleHandHumansMaleMuscle, SkeletalMuscle SpasticityUlnar NerveFirst dorsal interosseous muscleMotor branch-adductor muscleSelective neurectomySelective neurotomySpasticityUlnar nerve

Identifiers

PMID31745617
OpenAlexW2989949336

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.