Evidence map›Paper›PMID 40529476›Full record

ArticleJID innovations : skin science from molecules to population health2025

Using Durometers to Quantify Stiffness as an Outcome Measure for Cutaneous Neurofibroma in Neurofibromatosis Type 1.

Bahir Chamseddin, Renee M McKay, Ruyun Jin, Hong Zhu, Lu Q Le

Abstract read
In one paragraph

Article in JID innovations : skin science from molecules to population health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

5 authors.

Bahir ChamseddinDepartment of Dermatology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Renee M McKayDepartment of Dermatology, University of Virginia School of Medicine, Charlottesville, Virginia, USA.
Ruyun JinDivision of Biostatistics, Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, Virginia, USA.
Hong ZhuDivision of Biostatistics, Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, Virginia, USA.
Lu Q LeDepartment of Dermatology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patients with neurofibromatosis type 1 develop multiple cutaneous neurofibromas (cNFs) for which no effective drug therapy exists; mainstay treatment remains physical removal. However, clinical trials testing new drugs are ongoing, and quantitative techniques based on cNF biology are needed to measure changes in cNF after treatment. cNF tumor bulk is composed of extracellular matrix and inflammatory cells that dictate their stiffness. No studies have reported measuring the stiffness change in neurofibromas, which would indicate shrinking of the tumor bulk. The goal of this study was to evaluate 2 different instruments-the Rex Gauge durometer (denoted as REX) and the Delfin SkinFibroMeter (denoted as DELFIN)-in reproducibly measuring cNF stiffness. Ninety-seven neurofibromas from patients with neurofibromatosis type 1 on different skin areas were measured at each of 2 visits about 2 weeks apart. The DELFIN had moderate within-tumor agreement (intraclass correlation coefficient = 0.607, 95% confidence interval = 0.512-0.691) and moderate within-visit agreement (intraclass correlation coefficient = 0.732, 95% confidence interval = 0.665-0.786), and the REX had moderate within-tumor agreement (intraclass correlation coefficient = 0.740, 95% confidence interval = 0.631-0.816) and excellent within-visit agreement (intraclass correlation coefficient = 0.937, 95% confidence interval = 0.913-0.953), while accounting for repeated visits and tumor measurements clustered within each patient. We found that both the DELFIN and REX are easy to use and reliable, providing consistent quantification of cNF stiffness.

Indexed as

Cutaneous neurofibromaDelfin SkinFibroMeterDurometerNF1Rex Gauge Durometer

Identifiers

PMID40529476
PMCPMC12172277

What Socratic holds

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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 Socratic graph.