Evidence map›Paper›PMID 40176692›Full record

ReviewCurrent pharmaceutical design2026

Dermoscopic Aspects of Cutaneous Melanoma and Non-Melanoma Skin Cancer.

Gabriela Fortes Escobar, Lucas Samuel Perinazzo Pauvels, Renato Marchiori Bakos

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current pharmaceutical design, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

3 authors.

Gabriela Fortes EscobarDepartment of Dermatology, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.
Lucas Samuel Perinazzo PauvelsDepartment of Dermatology, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.
Renato Marchiori BakosDepartment of Dermatology, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dermoscopy is a very important diagnostic tool in clinical practice. It increases accuracy in skin cancer detection. Melanoma and its major variants have distinct dermoscopic patterns and structures described as well as cutaneous keratynocytic tumors such as basal cell carcinoma and squamous cell carcinomas. Superficial spreading melanoma may show dermoscopic structures varying from atypical network, atypical hyperpigmentation, atypical globules and dots, and atypical streaks to negative network; lentigo maligna lesions demonstrate dermoscopic structures associated with the tumour progression around follicular openings; nodular lesions may be suspected mainly by colors (pink or blue and black) and the recognition of peculiar patterns such as the parallel ridge pattern may facilitate vascular structures and acral lentiginous. The histopathologic subtype of BCC is an important determinant of the dermoscopic pattern of the tumor, being the vascular strucutures a significant clue for its diagnosis. Invasive squamous cell carcinoma may also be differentiated from in situ lesions by clinical and dermoscopic aspects such as vascular and hyperkeratotic structures. The aim of this review was to provide a comprehensive overview of the major dermoscopic patterns and structures described for the diagnosis of major melanoma variants and for cutaneous carcinomas. It also gives some insights about sequential digital imaging for patients with multiple melanocytic nevi.

Indexed as

Basal Cell CarcinomaCarcinoma, Squamous CellDermoscopyMelanomaSkin NeoplasmsHumansbasal cell carcinomadermoscopyMelanomasequential imagingskin cancer.squamous cell carcinoma

Identifiers

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.