Evidence map›Paper›PMID 38202111›Full record

ReviewJournal of clinical medicine2023

The Importance of Reading the Skin: Cutaneous Metastases of Pancreatic Cancer, a Systematic Review.

Fortunato Cassalia, Anna Bolzon, Monica Ponzano, Laura Ventura, Andrea Danese, Paolo Del Fiore, Anna Belloni Fortina, Elio Jovine, Giampaolo Perri, Umberto Cillo and 1 more

Open access · goldAbstract readReview
In one paragraph

Review in Journal of clinical medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.2field-weighted citation impact, top 17% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
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

11 authors at 4 institutions in 1 country.

Fortunato CassaliaDermatology Unit, Department of Medicine [DIMED], University of Padua, 35121 Padua, Italy.ORCID 0000-0002-5014-1122
Anna BolzonDermatology Unit, Department of Medicine [DIMED], University of Padua, 35121 Padua, Italy.ORCID 0009-0009-1626-0855
Monica PonzanoDermatology Unit, Department of Medicine [DIMED], University of Padua, 35121 Padua, Italy.ORCID 0009-0008-2496-7255
Laura VenturaDepartment of Statistics, University of Padua, 35121 Padova, Italy.ORCID 0000-0001-7322-998X
Andrea DaneseSection of Dermatology and Venereology, Department of Medicine, University of Verona, 37129 Verona, Italy.
Paolo Del FioreSoft-Tissue, Peritoneum and Melanoma Surgical Oncology Unit, Veneto Institute of Oncology IOV-IRCCS, 35128 Padua, Italy.ORCID 0000-0002-2862-8014
Anna Belloni FortinaDermatology Unit, Department of Medicine [DIMED], University of Padua, 35121 Padua, Italy.
Elio JovineDepartment of General Surgery, IRCCS, Azienda Ospedaliero-Universitaria di Bologna, Maggiore Hospital, 40133 Bologna, Italy.
Giampaolo PerriDepartment of General Surgery, IRCCS, Azienda Ospedaliero-Universitaria di Bologna, Maggiore Hospital, 40133 Bologna, Italy.
Umberto CilloHepatopancreatobiliary and Liver Surgery, Department of Surgery, Oncology and Gastroenterology DiSCOG, University of Padua, 35121 Padua, Italy.
Giovanni MarchegianiHepatopancreatobiliary and Liver Surgery, Department of Surgery, Oncology and Gastroenterology DiSCOG, University of Padua, 35121 Padua, Italy.
University of Padua · ITAzienda USL di Bologna · ITIstituto Oncologico Veneto · ITUniversity of Verona · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPancreatic cancer is notorious for its aggressive nature and low survival rate, with less than 10% of patients surviving beyond five years. Early detection is difficult, but skin metastases can be a rare but significant indicator. This systematic review focuses on the epidemiology, clinical features, and histology of skin metastases from pancreatic cancer to determine their importance in early diagnosis and overall management of the disease. MATERIALS AND

methodsFollowing PRISMA guidelines, we conducted an exhaustive search of MEDLINE/PubMed, EMBASE, and SCOPUS databases up to June 2023, using specific keywords. Four independent investigators screened the studies using predefined criteria, and two investigators checked the accuracy and consistency of the data extraction. We assessed the quality of the trials using adapted criteria from the Joanna Briggs Institute. A narrative synthesis rather than a meta-analysis was chosen because of the different study designs.

resultsThe final analysis included 57 patients with skin metastases from pancreatic cancer. Cutaneous metastases, although rare, presented with approximately equal gender distribution and a mean age of 63.4 years. Predominantly non-umbilical (77%), these metastases showed clinical diversity, ranging from asymptomatic nodules to painful or ulcerated lesions. Notably, skin metastases often preceded the diagnosis of primary pancreatic cancer (58%). Primary tumor characteristics revealed different localizations, with adenocarcinoma being the most prevalent histological type (77%). A significant association (

conclusionsIn conclusion, although skin metastases are rare, they are important indicators of pancreatic cancer, highlighting the need for multidisciplinary healthcare collaboration and thorough skin examination. Recognizing them could lead to earlier diagnosis, which is crucial in a cancer with limited treatment options.

Indexed as

cutaneous metastasispancreaspancreatic cancerpancreatic cancer early detectionpancreatic skin metastasisskin cancerskin metastasisskin metastasis from pancreatic cancer

Identifiers

PMID38202111
PMCPMC10779471
OpenAlexW4390175375

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.