Evidence map›Paper›PMID 41198940›Full record

ArticleLasers in medical science2025

CO

Giuseppe Emilio Cannata, Andrea Sechi

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Article in Lasers in medical science, 2025. 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

2 authors.

Giuseppe Emilio CannataIRCCS Ospedale San Raffaele, Milan, Italy.
Andrea SechiFondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy. andrea.sechi@hotmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Histopathological examination of the nail matrix is essential for diagnosing longitudinal melanonychia (LM) and distinguishing benign conditions from melanoma. However, traditional biopsy techniques can be invasive, technically complex, and risk permanent nail dystrophy. This study evaluates the feasibility, diagnostic accuracy, and cosmetic outcomes of a minimally invasive CO₂ laser-assisted biopsy technique. We conducted a retrospective case series on patients with single-digit LM who underwent CO₂ laser-assisted nail matrix biopsy at our dermatology department between January 2023 and December 2023. A small square-shaped window was created in the nail plate using a CO₂ laser, avoiding proximal nail fold incisions. A 3-5 mm punch biopsy was performed on the distal nail matrix, and the excised nail plate was repositioned as a protective biological dressing. Patients were followed up for healing, complications, and cosmetic outcomes. Ten patients (six females, four males, median age: 39 years) were included. Biopsy samples were sufficient for diagnosis in all cases, identifying melanocytic activation (50%) and matrix nevi (40%), with one inconclusive case. Three patients required reintervention due to previous insufficient biopsy samples or recurrence. Follow-up ranged from 6 to 15 months, with mild postoperative nail changes in 50% of cases, more common in fingernails and reinterventions. No severe nail dystrophy occurred. CO₂ laser-assisted biopsy is a minimally invasive, effective technique for LM diagnosis, preserving nail structure while reducing complications. Larger studies are needed to confirm its long-term benefits over conventional methods.

Indexed as

Lasers, GasNail DiseasesNailsAdultBiopsyFemaleHumansMaleMelanomaMiddle AgedRetrospective StudiesSkin NeoplasmsYoung AdultCO₂ laserDermatologic surgeryHistopathological diagnosisLaser-assisted biopsyLongitudinal melanonychiaMatrix neviMelanocytic activationNail matrix biopsyNail punch biopsy window techniqueNail surgery

Identifiers

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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.