Evidence map›Paper›PMID 40227497›Full record

ReviewCancers2025

The Importance and Challenges of Early Diagnosis of Paraneoplastic Skin Syndromes in Cancer Detection-A Review.

Aleksandra Rościszewska, Kamila Tokarska, Aleksandra Kośny, Paulina Karp, Wiktoria Leja, Agnieszka Żebrowska

Abstract readReview
In one paragraph

Review in Cancers, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

6 authors.

Aleksandra RościszewskaDepartment of Dermatology and Venereology, Medical University of Lodz, Hallera 1, 90-647 Lodz, Poland.
Kamila TokarskaDepartment of Dermatology and Venereology, Medical University of Lodz, Hallera 1, 90-647 Lodz, Poland.
Aleksandra KośnyDepartment of Dermatology and Venereology, Medical University of Lodz, Hallera 1, 90-647 Lodz, Poland.
Paulina KarpDepartment of Dermatology and Venereology, Medical University of Lodz, Hallera 1, 90-647 Lodz, Poland.ORCID 0009-0004-4246-5049
Wiktoria LejaDepartment of Dermatology and Venereology, Medical University of Lodz, Hallera 1, 90-647 Lodz, Poland.
Agnieszka ŻebrowskaDepartment of Dermatology and Venereology, Medical University of Lodz, Hallera 1, 90-647 Lodz, Poland.ORCID 0000-0002-4548-3080

Funding

Medical University of Lodz No 503/1-152-01/503-11-002.
6 · The paper itself

Abstract

Skin paraneoplastic syndromes (SPNSs) are a group of disorders that arise as a consequence of cancer but are not directly related to the tumor mass itself. This review aims to provide a comprehensive overview of these syndromes, encompassing their pathophysiology, clinical features, diagnostic approaches, differential diagnosis, and management strategies. These syndromes, which include conditions such as Bazex syndrome, acanthosis nigricans, dermatomyositis, and necrolytic migratory erythema often manifest prior to or concurrently with a cancer diagnosis, serving as potential early warning signs of underlying malignancies. This review delves into the spectrum of SPNSs and their associations with specific cancer types. Special emphasis is placed on the critical role of dermatologists and oncologists in identifying these skin manifestations as potential markers of malignancy. By raising awareness of SPNSs, this paper highlights the pivotal importance of prompt recognition and intervention in reducing cancer-related mortality.

Indexed as

cancercutaneous paraneoplastic syndromesdifferentiationskin disorders

Identifiers

PMID40227497
PMCPMC11988160

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.