Evidence map›Paper›PMID 34885180›Full record

ReviewCancers2021

Melanoma Management during the COVID-19 Pandemic Emergency: A Literature Review and Single-Center Experience.

Caterina Cariti, Martina Merli, Gianluca Avallone, Marco Rubatto, Elena Marra, Paolo Fava, Virginia Caliendo, Franco Picciotto, Giulio Gualdi, Ignazio Stanganelli and 3 more

Open access · goldAbstract readReview
In one paragraph

Review in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 12% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Impact of the COVID-19 Pandemic on Melanoma Diagnosis in Romania-Data from Two University Centers.International journal of environmental research and public health · 2022
    Article
  12. Article
  13. 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

13 authors at 3 institutions in 1 country.

Caterina CaritiDepartment of Medical Sciences, Dermatology Clinic, University of Turin, 10126 Turin, Italy.
Martina MerliDepartment of Medical Sciences, Dermatology Clinic, University of Turin, 10126 Turin, Italy.
Gianluca AvalloneDepartment of Medical Sciences, Dermatology Clinic, University of Turin, 10126 Turin, Italy.ORCID 0000-0001-7253-2370
Marco RubattoDepartment of Medical Sciences, Dermatology Clinic, University of Turin, 10126 Turin, Italy.
Elena MarraDepartment of Medical Sciences, Dermatology Clinic, University of Turin, 10126 Turin, Italy.
Paolo FavaDepartment of Medical Sciences, Dermatology Clinic, University of Turin, 10126 Turin, Italy.
Virginia CaliendoDermatologic Surgery Department, Surgery Department, University Hospital, 10126 Turin, Italy.
Franco PicciottoDermatologic Surgery Department, Surgery Department, University Hospital, 10126 Turin, Italy.
Giulio GualdiDepartment of Medicine and Ageing Science, Dermatologic Clinic, "G. D'Annunzio" University, 66100 Chieti, Italy.
Ignazio StanganelliSkin Cancer Unit, IRCCS-IRST Scientific Institute of Romagna for the Study and Treatment of Cancer, Meldola and University of Parma, 43121 Parma, Italy.
Maria Teresa FierroDepartment of Medical Sciences, Dermatology Clinic, University of Turin, 10126 Turin, Italy.
Simone RiberoDepartment of Medical Sciences, Dermatology Clinic, University of Turin, 10126 Turin, Italy.
Pietro QuaglinoDepartment of Medical Sciences, Dermatology Clinic, University of Turin, 10126 Turin, Italy.
University of Turin · ITUniversity of Chieti-Pescara · ITUniversity of Parma · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe current COVID-19 pandemic has influenced the modus operandi of all fields of medicine, significantly impacting patients with oncological diseases and multiple comorbidities. Thus, in recent months, the establishment of melanoma management during the emergency has become a major area of interest. In addition to original articles, case reports and specific guidelines for the period have been developed. PURPOSE: This article aims to evaluate whether melanoma management has been changed by the outbreak of COVID-19, and if so, what the consequences are. We summarized the main issues concerning the screening of suspicious lesions, the diagnosis of primary melanoma, and the management of early-stage and advanced melanomas during the pandemic. Additionally, we report on the experience of our dermatological clinic in northern Italy.

methodsWe performed a literature review evaluating articles on melanomas and COVID-19 published in the last two years on PubMed, as well as considering publications by major healthcare organizations. Concerning oncological practice in our center, we collected data on surgical and therapeutic procedures in patients with a melanoma performed during the first months of the pandemic.

conclusionsDuring the emergency period, the evaluation of suspicious skin lesions was ensured as much as possible. However, the reduced level of access to medical care led to a documented delay in the diagnosis of new melanomas. When detected, the management of early-stage and advanced melanomas was fully guaranteed, whereas the follow-up visits of disease-free patients have been postponed or replaced with a teleconsultation when possible.

Indexed as

COVID-19diagnostic delayimmunotherapylymph adenopathymanagementmelanomapandemicteledermatologyvaccination

Identifiers

PMID34885180
PMCPMC8656565
OpenAlexW3217096942

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.