Evidence map›Paper›PMID 25006574›Full record

Trial reportBioMed research international2014

The proximal medial sural nerve biopsy model: a standardised and reproducible baseline clinical model for the translational evaluation of bioengineered nerve guides.

Ahmet Bozkurt, Sabien G A van Neerven, Kristl G Claeys, Dan Mon O'Dey, Angela Sudhoff, Gary A Brook, Bernd Sellhaus, Jörg B Schulz, Joachim Weis, Norbert Pallua

Open access · hybridAbstract readClinical Trial
In one paragraph

Trial report in BioMed research international, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.0field-weighted citation impact, top 31% 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

6 citing papers in PubMed, 19 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

10 authors at 2 institutions in 1 country.

Ahmet BozkurtDepartment of Plastic Surgery, Reconstructive and Hand Surgery, Burn Centre, Medical Faculty, RWTH Aachen University Hospital, Pauwelsstraße 30, 52074 Aachen, Germany.ORCID 0000-0002-2449-4776
Sabien G A van NeervenDepartment of Plastic Surgery, Reconstructive and Hand Surgery, Burn Centre, Medical Faculty, RWTH Aachen University Hospital, Pauwelsstraße 30, 52074 Aachen, Germany.
Kristl G ClaeysDepartment of Neurology, Medical Faculty, RWTH Aachen University, 52074 Aachen, Germany ; Institute of Neuropathology, RWTH Aachen University Hospital, 52074 Aachen, Germany ; JARA, Translational Brain Medicine, 52074 Aachen, Germany.
Dan Mon O'DeyDepartment of Plastic Surgery, Reconstructive and Hand Surgery, Burn Centre, Medical Faculty, RWTH Aachen University Hospital, Pauwelsstraße 30, 52074 Aachen, Germany.
Angela SudhoffClinical Trial Center Aachen (CTC-A), Medical Faculty, RWTH Aachen University Hospital, 52074 Aachen, Germany.ORCID 0000-0002-8294-435X
Gary A BrookInstitute of Neuropathology, RWTH Aachen University Hospital, 52074 Aachen, Germany ; JARA, Translational Brain Medicine, 52074 Aachen, Germany.
Bernd SellhausInstitute of Neuropathology, RWTH Aachen University Hospital, 52074 Aachen, Germany ; JARA, Translational Brain Medicine, 52074 Aachen, Germany.
Jörg B SchulzDepartment of Neurology, Medical Faculty, RWTH Aachen University, 52074 Aachen, Germany ; JARA, Translational Brain Medicine, 52074 Aachen, Germany ; Clinical Trial Center Aachen (CTC-A), Medical Faculty, RWTH Aachen University Hospital, 52074 Aachen, Germany.
Joachim WeisInstitute of Neuropathology, RWTH Aachen University Hospital, 52074 Aachen, Germany ; JARA, Translational Brain Medicine, 52074 Aachen, Germany.
Norbert PalluaDepartment of Plastic Surgery, Reconstructive and Hand Surgery, Burn Centre, Medical Faculty, RWTH Aachen University Hospital, Pauwelsstraße 30, 52074 Aachen, Germany.
Brain (Germany) · DERWTH Aachen University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Autologous nerve transplantation (ANT) is the clinical gold standard for the reconstruction of peripheral nerve defects. A large number of bioengineered nerve guides have been tested under laboratory conditions as an alternative to the ANT. The step from experimental studies to the implementation of the device in the clinical setting is often substantial and the outcome is unpredictable. This is mainly linked to the heterogeneity of clinical peripheral nerve injuries, which is very different from standardized animal studies. In search of a reproducible human model for the implantation of bioengineered nerve guides, we propose the reconstruction of sural nerve defects after routine nerve biopsy as a first or baseline study. Our concept uses the medial sural nerve of patients undergoing diagnostic nerve biopsy (≥ 2 cm). The biopsy-induced nerve gap was immediately reconstructed by implantation of the novel microstructured nerve guide, Neuromaix, as part of an ongoing first-in-human study. Here we present (i) a detailed list of inclusion and exclusion criteria, (ii) a detailed description of the surgical procedure, and (iii) a follow-up concept with multimodal sensory evaluation techniques. The proximal medial sural nerve biopsy model can serve as a preliminary nature of the injuries or baseline nerve lesion model. In a subsequent step, newly developed nerve guides could be tested in more unpredictable and challenging clinical peripheral nerve lesions (e.g., following trauma) which have reduced comparability due to the different nature of the injuries (e.g., site of injury and length of nerve gap).

Indexed as

AgedBioengineeringBiopsyFemaleGuided Tissue RegenerationHumansInflammationMaleMicroscopy, Electron, ScanningMiddle AgedModels, BiologicalNeuritisReproducibility of ResultsSural NerveWound Healing

Identifiers

PMID25006574
PMCPMC4077352
OpenAlexW1978642055

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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.