Evidence map›Paper›PMID 39941684›Full record

ReviewJournal of clinical medicine2025

Paraneoplastic Dermatoses: A Clue for Underlying Malignancies.

Dario Didona, Alessandra Rallo, Andrea Carugno, Giovanni Paolino

Abstract readReview
In one paragraph

Review in Journal of clinical medicine, 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. [Pyoderma gangrenosum: pathogenesis, diagnosis, and treatment].Dermatologie (Heidelberg, Germany) · 2025
    Review
  3. Review
  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

4 authors.

Dario DidonaRare Diseases Unit, Istituto Dermopatico dell'Immacolata (IDI)-IRCCS, 00167 Rome, Italy.ORCID 0000-0002-6119-1870
Alessandra RalloRare Diseases Unit, Istituto Dermopatico dell'Immacolata (IDI)-IRCCS, 00167 Rome, Italy.
Andrea CarugnoDermatology Unit, Department of Medicine and Surgery, University of Insubria, 21100 Varese, Italy.ORCID 0000-0002-8231-2205
Giovanni PaolinoUnit of Dermatology, IRCCS Ospedale San Raffaele, 20132 Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Paraneoplastic dermatoses (PDs) belong to a group of rare and polymorphous dermatoses, and they can often be the first sign of underlying malignancies. Therefore, dermatologists should be able to identify skin features to identify earlier underlying neoplasms. Indeed, lack of familiarity with cutaneous clues of internal malignancies can lead to a delay in the diagnosis and an impairment of the prognosis of the patients. In this review, we described several PDs, including more common and rarer PD. Indeed, while malignant acanthosis nigricans, characterized by velvety, verrucous, hyperpigmented plaques that usually affect intertriginous areas, is a well-known PD, necrolytic migratory erythema is usually misdiagnosed because its clinical features can be similar to seborrheic dermatitis. Furthermore, we focused on two paradigmatic PDs, namely paraneoplastic autoimmune multiorgan syndrome (PAMS) and paraneoplastic dermatomyositis. Indeed, PAMS represents a paradigmatic form of obligate PD, which is always associated with an underlying neoplasm, while paraneoplastic dermatomyositis belongs to the facultative PD, which can be associated with neoplasia in a variable percentage of cases.

Indexed as

acanthosis nigricansdermatomyositisLeser–Trélat’s signneoplasiaparaneoplastic autoimmune multiorgan syndromeparaneoplastic dermatosespyoderma gangrenosumSweet’s syndrometripe palm

Identifiers

PMID39941684
PMCPMC11818922

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.