Evidence map›Paper›PMID 41648001›Full record

ArticleJournal of hand surgery global online2026

Localizing Nerve Injury, Defining Injury Severity, and Estimating Prognosis (Nerve SPACE 2025).

John Fowler, David Wright, David Cholok, Sandip Biswal, Summer Gibbs, Sameer Shah, Tom Quick, Ek Tsoon Tan, Ryckie Wade, O Kenny Nwawka and 1 more

Abstract read
In one paragraph

Article in Journal of hand surgery global online, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

John FowlerDepartment of Orthopaedics, University of Pittsburgh, Pittsburgh, PA.
David WrightDepartment of Orthopedic Surgery, University of California Irvine, Orange County, CA.
David CholokDepartment of Orthopedic Surgery, Massachusetts General Hospital, Boston, MA.
Sandip BiswalDepartment of Radiology, Stanford University, Palo Alto, CA.
Summer GibbsBiomedical Engineering Department, Oregon Health Sciences University, Portland, OR.
Sameer ShahDepartment of Orthopedic Surgery, University of California San Diego, La Jolla, CA.
Tom QuickDepartment of Orthopaedic Surgery, Cleveland Clinic London, London, England.
Ek Tsoon TanDepartment of Radiology and Imaging, Hospital for Special Surgery, New York, NY.
Ryckie WadeDepartment of Orthopaedic Surgery, University of Leeds, Leeds, United Kingdom.
O Kenny NwawkaDepartment of Radiology and Imaging, Hospital for Special Surgery, New York, NY.
Jonathan WinogradDepartment of Orthopedic Surgery, Massachusetts General Hospital, Boston, MA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Localizing nerve injury, defining injury severity, and estimating prognosis are critical factors in surgical decision-making when indicating patients for operative intervention following traumatic nerve injury. Where are we now?: Current methods for localizing nerve injury and determining severity of injury include physical examination, electrodiagnostic studies, imaging including ultrasound and magnetic resonance imaging, and surgical exploration. However, these methods remain suboptimal, especially in cases of segmental or multilevel injury as is often seen in blunt force trauma as well as in cases of partial (axonotmetic) injury. A period of observation is often required to determine if spontaneous recovery will occur. In neurotmetic injuries, it is challenging to accurately determine the zone of injury intraoperatively to ensure that reconstruction is performed using healthy, viable nerve. As a result of these shortcomings, it has been difficult to accurately and consistently classify nerve injury according to location and severity which has resulted in difficulty estimating the prognosis for many injuries. Where do we need to go?: Better diagnostic methods are needed to be able to accurately determine the location of nerve injury to direct surgical intervention and determine prognosis, especially in blunt, ballistic, multilevel, or segmental injuries. Additionally, improved methods are needed to evaluate partial axonotmetic injuries in which the epineurium remains grossly intact on inspection intraoperatively, but with varying degrees of axonotmetic injury within the nerve. This includes a need for both noninvasive preoperative imaging and biomarkers as well as intraoperative modalities to more accurately determine the degree of intraneural damage and assist in preoperative indications and intraoperative decision-making. Improving these diagnostic modalities will allow classification of injuries by location and severity on a more consistent and accurate basis, leading to improved ability to estimate prognosis, surgical indications, and intraoperative decision-making. How do we get there?: Emerging diagnostic modalities, including simultaneous positron emission tomography and magnetic resonance imaging, nerve-specific fluorescence imaging, quantitative ultrasound and magnetic resonance imaging, peripheral nerve diffusion tensor imaging, magnetic resonance neurography, polarization-sensitive optical coherence tomography, and serum biomarkers for peripheral nerve injury, offer promising advances that may help better localize and define injury severity in peripheral nerve injury. More research and funding are needed to better understand how best to apply each of these modalities for traumatic nerve injury, leading to broader adoption, more accurate classification and consistent reporting of data that can be linked to patient outcomes and ultimately help improve our ability to estimate prognosis after nerve injury.

Indexed as

ImagingPeripheral nerveSPACES conference

Identifiers

PMID41648001
PMCPMC12870837

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.