Evidence map›Paper›PMID 37378218›Full record

ArticleCureus2023

Neuroma Treatment With the Acellular Nerve Allograft Reconstruction Technique.

Jennifer A Bell, Collean Trotter, Daniel Gittings, Mathew Schur, Kurt M Mohty, Rachel Lefebvre, Milan Stevanovic

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2023. 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
0.3field-weighted citation impact, top 47% 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, 2 citations in OpenAlex.

  1. Algorithm for Surgical Management of Symptomatic Hand and Digital Neuromas.Plastic and reconstructive surgery. Global open · 2026
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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

7 authors at 1 institution in 1 country.

Jennifer A BellDepartment of Orthopaedic Surgery, University of Southern California, Los Angeles, USA.
Collean TrotterDepartment of Orthopaedic Surgery, University of Southern California Keck School of Medicine, Los Angeles, USA.
Daniel GittingsDepartment of Orthopaedic Surgery, University of Southern California, Los Angeles, USA.
Mathew SchurDepartment of Orthopaedic Surgery, University of Southern California Keck School of Medicine, Los Angeles, USA.
Kurt M MohtyDepartment of Orthopaedic Surgery, University of Southern California, Los Angeles, USA.
Rachel LefebvreDepartment of Orthopaedic Surgery, University of Southern California Keck School of Medicine, Los Angeles, USA.
Milan StevanovicDepartment of Orthopaedic Surgery, University of Southern California Keck School of Medicine, Los Angeles, USA.
University of Southern California · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Treatment of a painful neuroma is a challenging problem for both the patient and the providers. Current surgical treatment options typically include excision of the neuroma and stump relation. However, with both treatment options, patients have high rates of persistent pain and rates of neuroma recurrence. We describe two patients with neuromas treated with our acellular nerve allograft reconstruction technique. This technique involves the excision of the neuroma and bridging the proximal nerve end to the surrounding tissue with an acellular nerve allograft. Both patients had immediate resolution of their neuropathic pain that was maintained at their final follow-up. Acellular nerve allograft reconstruction is a promising treatment option for the treatment of painful neuromas.

Indexed as

acellular nerve allograft reconstructionhuman nerve allograftnerve injurynerve relocationneuroma

Identifiers

PMID37378218
PMCPMC10292632
OpenAlexW4378529937

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.