Evidence map›Paper›PMID 41002112›Full record

ReviewThe Australasian journal of dermatology2025

Yellow Nested Melanoma: Line-Field Confocal Optical Coherence Tomography and Literature Review.

Luca Bettolini, Vincenzo Maione, Andrea Carugno, Zeno Fratton, Enzo Errichetti, Mariachiara Arisi, Nicola Zerbinati, Iacopo Ghini, Stefano Bighetti

Abstract readReviewCase Reports
PubMed Full text at PMC Publisher
In one paragraph

Review in The Australasian journal of dermatology, 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

9 authors.

Luca BettoliniDermatology Department, University of Brescia, ASST Spedali Civili di Brescia, Brescia, Italy.ORCID https://orcid.org/0000-0003-4374-802X
Vincenzo MaioneDermatology Department, University of Brescia, ASST Spedali Civili di Brescia, Brescia, Italy.ORCID https://orcid.org/0000-0002-0420-5009
Andrea CarugnoDepartment of Medicine and Surgery, University of Insubria, Varese, Italy.ORCID https://orcid.org/0000-0002-8231-2205
Zeno FrattonDepartment of Medicine, Institute of Dermatology, University of Udine, Udine, Italy.ORCID https://orcid.org/0000-0002-7454-1999
Enzo ErrichettiDepartment of Medicine, Institute of Dermatology, University of Udine, Udine, Italy.
Mariachiara ArisiDermatology Department, University of Brescia, ASST Spedali Civili di Brescia, Brescia, Italy.
Nicola ZerbinatiDepartment of Medicine and Surgery, University of Insubria, Varese, Italy.
Iacopo GhiniDermatology Department, University of Brescia, ASST Spedali Civili di Brescia, Brescia, Italy.
Stefano BighettiDermatology Department, University of Brescia, ASST Spedali Civili di Brescia, Brescia, Italy.ORCID https://orcid.org/0009-0006-2781-6909

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nested melanoma, a relatively new subtype of melanoma first reported in 2012, is characterised by neoplastic cells organised into nests. We present a unique case of yellow nested melanoma, detailing its clinical, dermoscopic, RCM, and, for the first time to our knowledge, LC-OCT features. Alongside a comprehensive review of the literature, our findings challenge the traditional associations with advanced age and sun-damaged skin, advocating for the term 'nested melanoma' to better reflect its characteristics.

Indexed as

MelanomaSkin NeoplasmsDermoscopyHumansTomography, Optical CoherencedermopathologyLC‐OCTmelanomanested melanomanon‐invasive diagnosis

Identifiers

PMID41002112
PMCPMC12687715

What OpenQuestion holds

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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.