Evidence map›Paper›PMID 32029860›Full record

ArticleScientific reports2020

Rapid and Precise Semi-Automatic Axon Quantification in Human Peripheral Nerves.

S Engelmann, M Ruewe, S Geis, C D Taeger, M Kehrer, E R Tamm, R L A W Bleys, F Zeman, L Prantl, A Kehrer

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.3field-weighted citation impact, top 16% 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

15 citing papers in PubMed, 25 citations in OpenAlex.

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  9. Axonal mapping of the motor cranial nerves.Frontiers in neuroanatomy · 2023
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 4 institutions in 2 countries.

S EngelmannDepartment of Plastic, Hand and Reconstructive Surgery, University Hospital Regensburg, Regensburg, Germany.
M RueweDepartment of Plastic, Hand and Reconstructive Surgery, University Hospital Regensburg, Regensburg, Germany.
S GeisDepartment of Plastic, Hand and Reconstructive Surgery, University Hospital Regensburg, Regensburg, Germany.
C D TaegerDepartment of Plastic, Hand and Reconstructive Surgery, University Hospital Regensburg, Regensburg, Germany.
M KehrerDepartment of Trauma Surgery, University Hospital Bonn, Bonn, Germany.
E R TammInstitute of Human Anatomy, University of Regensburg, Regensburg, Germany.
R L A W BleysDepartment of Anatomy, University Medical Center Utrecht, Utrecht, The Netherlands.
F ZemanCenter for Clinical Studies, University Hospital Regensburg, Regensburg, Germany.
L PrantlDepartment of Plastic, Hand and Reconstructive Surgery, University Hospital Regensburg, Regensburg, Germany.
A KehrerDepartment of Plastic, Hand and Reconstructive Surgery, University Hospital Regensburg, Regensburg, Germany. AndreasKehrer@gmx.de.
University Hospital Regensburg · DEUniversity Hospital Bonn · DEUniversity Medical Center Utrecht · NLUniversity of Regensburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We developed a time-efficient semi-automated axon quantification method using freeware in human cranial nerve sections stained with paraphenylenediamine (PPD). It was used to analyze a total of 1238 facial and masseteric nerve biopsies. The technique was validated by comparing manual and semi-automated quantification of 129 (10.4%) randomly selected biopsies. The software-based method demonstrated a sensitivity of 94% and a specificity of 87%. Semi-automatic axon counting was significantly faster (p < 0.001) than manual counting. It took 1 hour and 47 minutes for all 129 biopsies (averaging 50 sec per biopsy, 0.04 seconds per axon). The counting process is automatic and does not need to be supervised. Manual counting took 21 hours and 6 minutes in total (average 9 minutes and 49 seconds per biopsy, 0.52 seconds per axon). Our method showed a linear correlation to the manual counts (R = 0.944 Spearman rho). Attempts have been made by several research groups to automate axonal load quantification. These methods often require specific hard- and software and are therefore only accessible to a few specialized laboratories. Our semi-automated axon quantification is precise, reliable and time-sparing using publicly available software and should be useful for an effective axon quantification in various human peripheral nerves.

Identifiers

PMID32029860
PMCPMC7005293
OpenAlexW3004707204

What OpenQuestion holds

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LicenceCC BY
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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.