Evidence map›Paper›PMID 34442055›Full record

ReviewJournal of clinical medicine2021

Familial Melanoma and Susceptibility Genes: A Review of the Most Common Clinical and Dermoscopic Phenotypic Aspect, Associated Malignancies and Practical Tips for Management.

Lamberto Zocchi, Alberto Lontano, Martina Merli, Emi Dika, Eduardo Nagore, Pietro Quaglino, Susana Puig, Simone Ribero

Open access · goldAbstract readReview
In one paragraph

Review in Journal of clinical medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
3.5field-weighted citation impact, top 5% of its field
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

36 citing papers in PubMed, 68 citations in OpenAlex.

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  20. drexml: A command line tool and Python package for drug repurposing.Computational and structural biotechnology journal · 2024
    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

8 authors at 4 institutions in 2 countries.

Lamberto ZocchiDepartment of Medical Sciences, Dermatology Clinic, University of Turin, 10126 Turin, Italy.ORCID 0000-0002-0128-7379
Alberto LontanoDepartment of Medical Sciences, Dermatology Clinic, University of Turin, 10126 Turin, Italy.
Martina MerliDepartment of Medical Sciences, Dermatology Clinic, University of Turin, 10126 Turin, Italy.
Emi DikaDermatology, Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, 40138 Bologna, Italy.ORCID 0000-0003-3186-2861
Eduardo NagoreDepartment of Dermatology, Instituto Valenciano de Oncología, 46009 València, Spain.ORCID 0000-0003-3433-8707
Pietro QuaglinoDepartment of Medical Sciences, Dermatology Clinic, University of Turin, 10126 Turin, Italy.
Susana PuigMelanoma Unit, Dermatology Department, Hospital Clínic de Barcelona, IDIBAPS, Universitat de Barcelona, 08001 Barcelona, Spain.
Simone RiberoDepartment of Medical Sciences, Dermatology Clinic, University of Turin, 10126 Turin, Italy.
University of Turin · ITFundación Instituto Valenciano de Oncología · ESHospital Clínic de Barcelona · ESUniversity of Bologna · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A family history of melanoma greatly increases the risk of developing cutaneous melanoma, a highly aggressive skin cancer whose incidence has been steadily increasing worldwide. Familial melanomas account for about 10% of all malignant melanomas and display an inheritance pattern consistent with the presence of pathogenic germline mutations, among which those involving

Indexed as

BAP1CDK4CDKN2Adermoscopyfamilial melanomageneticMC1RMITFmultiple melanomaPOT1

Identifiers

PMID34442055
PMCPMC8397216
OpenAlexW3194319141

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.