Evidence map›Paper›PMID 36798392›Full record

ArticlemedRxiv : the preprint server for health sciences2023

Abnormal Intraepidermal Nerve Fiber Density in Disease: A Scoping Review.

S J Thomas, J Enders, A Kaiser, L Rovenstine, L Heslop, W Hauser, A Chadwick, D E Wright

Open access · greenAbstract readPreprintScoping Review
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2023. 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, 6 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

S J ThomasSensory Nerve Disorder Lab, University of Kansas Medical Center, Anesthesiology Department, Kansas City, KS, USA.
J EndersSensory Nerve Disorder Lab, University of Kansas Medical Center, Anesthesiology Department, Kansas City, KS, USA.
A KaiserSensory Nerve Disorder Lab, University of Kansas Medical Center, Anesthesiology Department, Kansas City, KS, USA.
L RovenstineSensory Nerve Disorder Lab, University of Kansas Medical Center, Anesthesiology Department, Kansas City, KS, USA.
L HeslopSensory Nerve Disorder Lab, University of Kansas Medical Center, Anesthesiology Department, Kansas City, KS, USA.
W HauserSensory Nerve Disorder Lab, University of Kansas Medical Center, Anesthesiology Department, Kansas City, KS, USA.
A ChadwickSensory Nerve Disorder Lab, University of Kansas Medical Center, Anesthesiology Department, Kansas City, KS, USA.
D E WrightSensory Nerve Disorder Lab, University of Kansas Medical Center, Anesthesiology Department, Kansas City, KS, USA.
University of Kansas Medical Center · US

Funding

Mentoring CoreP20GM103418 · NIGMS · UNIVERSITY OF KANSAS MEDICAL CENTER · PI Douglas E Wright · 2012 to 2026
$63.0M
Painful Versus Insensate Diabetic NeuropathyR01NS043314 · NINDS · UNIVERSITY OF KANSAS MEDICAL CENTER · PI Douglas E Wright · 2003 to 2026
$6.7M
Kansas University Training Program in Neurological and Rehabilitation SciencesT32HD057850 · NICHD · UNIVERSITY OF KANSAS MEDICAL CENTER · PI Jacob J. Sosnoff · 2009 to 2026
$3.4M
Translating Obesity, Metabolic Dysfunction and Comorbid Disease StatesT32DK128770 · NIDDK · UNIVERSITY OF KANSAS MEDICAL CENTER · PI John P Thyfault, Douglas E Wright · 2022 to 2026
$806k
NICHD NIH HHS T32 HD057850NIDDK NIH HHS T32 DK128770NIGMS NIH HHS P20 GM103418NINDS NIH HHS R01 NS043314
6 · The paper itself

Abstract

Background: Intraepidermal nerve fiber density (IENFD) has become an important biomarker for neuropathy diagnosis and research. The consequences of reduced IENFD can include sensory dysfunction, pain, and a significant decrease in quality of life. We examined the extent to which IENFD is being used as a tool in human and mouse models and compared the degree of fiber loss between diseases to gain a broader understanding of the existing data collected using this common technique. Methods: We conducted a scoping review of publications that used IENFD as a biomarker in human and non-human research. PubMed was used to identify 1,004 initial articles that were then screened to select articles that met the criteria for inclusion. Criteria were chosen to standardize publications so they could be compared rigorously and included having a control group, measuring IENFD in a distal limb, and using protein gene product 9.5 (PGP9.5). Results: We analyzed 397 articles and collected information related to publication year, the condition studied, and the percent IENFD loss. The analysis revealed that the use of IENFD as a tool has been increasing in both human and non-human research. We found that IENFD loss is prevalent in many diseases, and metabolic or diabetes-related diseases were the most studied conditions in humans and rodents. Our analysis identified 74 human diseases in which IENFD was affected, with 71 reporting IENFD loss and an overall average IENFD change of -47%. We identified 28 mouse and 21 rat conditions, with average IENFD changes of -31.6 % and - 34.7% respectively. Additionally, we present data describing sub-analyses of IENFD loss according to disease characteristics in diabetes and chemotherapy treatments in humans and rodents. Interpretation: Reduced IENFD occurs in a surprising number of human disease conditions. Abnormal IENFD contributes to important complications, including poor cutaneous vascularization, sensory dysfunction, and pain. Our analysis informs future rodent studies so they may better mirror human diseases impacted by reduced IENFD, highlights the breadth of diseases impacted by IENFD loss, and urges exploration of common mechanisms that lead to substantial IENFD loss as a complication in disease.

Identifiers

PMID36798392
PMCPMC9934806
OpenAlexW4319454943

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.