Evidence map›Paper›PMID 36342513›Full record

ReviewArchives of dermatological research2023

Overview of familial syndromes with increased skin malignancies.

Hui Yu Juan, Albert E Zhou, Karl M Hoegler, Amor Khachemoune

Abstract readReview
PubMed Publisher
In one paragraph

Review in Archives of dermatological research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.7field-weighted citation impact, top 33% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Review
  3. Skin cancer risk in hereditary mixed cancer syndromes.Hereditary cancer in clinical practice · 2025
    Review
  4. Review
  5. Review
  6. 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

4 authors at 3 institutions in 1 country.

Hui Yu JuanVirginia Commonwealth University School of Medicine, Richmond, VA, USA.
Albert E ZhouDepartment of Dermatology, University of Maryland School of Medicine, Baltimore, MD, USA.
Karl M HoeglerDepartment of Dermatology, University of Maryland School of Medicine, Baltimore, MD, USA.
Amor KhachemouneBrooklyn Campus of the VA NY Harbor Healthcare System, 800 Poly Place, Brooklyn, NY, 11209, USA. amorkh@gmail.com.
University of Maryland, Baltimore · USVA NY Harbor Healthcare System · USVirginia Commonwealth University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The vast majority of skin cancers can be classified into two main types: melanoma and keratinocyte carcinomas. The most common keratinocyte carcinomas include basal cell carcinoma (BCC) and squamous cell carcinoma (SCC). Multiple familial syndromes have been identified that can increase the risk of developing SCC, BCC, and/or melanoma. The major syndromes include oculocutaneous albinism for SCC, basal cell nevus syndrome for BCC, familial atypical multiple mole-melanoma syndrome, and hereditary breast and ovarian cancer syndrome for melanoma. In addition, familial syndromes that can predispose individuals to all three major skin cancers include xeroderma pigmentosum and Li-Fraumeni syndrome. This review highlights the epidemiology, risk factors, pathogenesis, and etiology of the major and minor syndromes to better identify and manage these conditions. Current investigational trials in genomic medicine are making their way in revolutionizing the clinical diagnosis of these familial syndromes for earlier preventative measures and improvement of long-term prognosis in these patients.

Indexed as

Basal Cell CarcinomaCarcinoma, Squamous CellDysplastic Nevus SyndromeMelanomaSkin NeoplasmsHumansRisk FactorsFamilial syndromeMelanomaNonmelanoma skin cancer

Identifiers

PMID36342513
OpenAlexW4308366511

What OpenQuestion holds

Textmetadata
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.