Evidence map›Paper›PMID 32718120›Full record

ArticleTurkish journal of medical sciences2021

Sural nerve harvest for infants: integrated with information based on anatomical dissections

Mustafa Buyukmumcu, Anıl Didem Aydın Kabakçı, Duygu Akın Saygın, Mehmet Tuğrul Yılmaz, Muzaffer Şeker

Open access · bronzeAbstract read
In one paragraph

Article in Turkish journal of medical sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.8field-weighted citation impact, top 26% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Review
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 1 institution in 1 country.

Mustafa BuyukmumcuDepartment of Anatomy, Faculty of Meram Medicine, Necmettin Erbakan University, Konya, TurkeyORCID 0000-0002-8475-6061
Anıl Didem Aydın KabakçıDepartment of Anatomy, Faculty of Meram Medicine, Necmettin Erbakan University, Konya, TurkeyORCID 0000-0003-1594-0188
Duygu Akın SaygınDepartment of Anatomy, Faculty of Meram Medicine, Necmettin Erbakan University, Konya, TurkeyORCID 0000-0003-4260-9263
Mehmet Tuğrul YılmazDepartment of Anatomy, Faculty of Meram Medicine, Necmettin Erbakan University, Konya, TurkeyORCID 0000-0001-5744-0902
Muzaffer ŞekerDepartment of Anatomy, Faculty of Meram Medicine, Necmettin Erbakan University, Konya, TurkeyORCID 0000-0002-6852-3030
Necmettin Erbakan University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background/aim: The aim of the present study was to determine the course and possible variations of the sural nerve with all anatomical details in human fetal cadavers. Materials and methods: This study was performed on 60 fetal cadavers. Formation type and level of the sural nerve was detected. Results: According to trimesters, it was determined that the mean transverse and vertical distance between the lowest point of the LM and the SN varied between 1.1 and 2.9 mm and 1.54 and 3.58 mm, respectively. Type 2 was the most common seen type of sural nerve (35.83%). It was determined that the sural nerve was mostly formed at the middle third of the leg (42.5%). Conclusion: Sural nerve graft with the knowledge of the anatomical details may be used for peripheral nerve reconstruction is required in congenital lesions, such as facial paralysis, obstetric brachial paralysis, and posttraumatic lesions in infants and children.

Indexed as

CadaverChildDissectionFemaleFetusGestational AgeHumansInfantLegMalePeripheral Nerve InjuriesPlastic Surgery ProceduresPregnancyPregnancy TrimestersSural Nervegraftsperipheral nerve injuriesSural nerve

Identifiers

PMID32718120
PMCPMC8203145
OpenAlexW3046899358

What OpenQuestion holds

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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.