Evidence map›Paper›PMID 39133519›Full record

ReviewCancer control : journal of the Moffitt Cancer Center

Cutaneous Oncology: Strategies for Melanoma Prevention, Diagnosis, and Therapy.

Wajeeha Saeed, Esha Shahbaz, Quratulain Maqsood, Shinawar Waseem Ali, Muhammada Mahnoor

Abstract readReview
In one paragraph

Review in Cancer control : journal of the Moffitt Cancer Center. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Review
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  7. Gels (Basel, Switzerland) · 2025
    Review
  8. Article
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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

5 authors.

Wajeeha SaeedDepartment of Food Sciences, Faculty of Agricultural Sciences, University of the Punjab, Lahore, Pakistan.
Esha ShahbazDepartment of Food Sciences, Faculty of Agricultural Sciences, University of the Punjab, Lahore, Pakistan.ORCID 0000-0003-0154-6147
Quratulain MaqsoodCentre for Applied Molecular Biology, University of the Punjab, Lahore Pakistan.ORCID 0000-0001-7342-9797
Shinawar Waseem AliDepartment of Food Sciences, Faculty of Agricultural Sciences, University of the Punjab, Lahore, Pakistan.
Muhammada MahnoorSehat Medical Complex Lake City, University of Lahore, Lahore Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Skin cancer comprises one-third of all diagnosed cancer cases and remains a major health concern. Genetic and environmental parameters serve as the two main risk factors associated with the development of skin cancer, with ultraviolet radiation being the most common environmental risk factor. Studies have also found fair complexion, arsenic toxicity, indoor tanning, and family history among the prevailing causes of skin cancer. Prevention and early diagnosis play a crucial role in reducing the frequency and ensuring effective management of skin cancer. Recent studies have focused on exploring minimally invasive or non-invasive diagnostic technologies along with artificial intelligence to facilitate rapid and accurate diagnosis. The treatment of skin cancer ranges from traditional surgical excision to various advanced methods such as phototherapy, radiotherapy, immunotherapy, targeted therapy, and combination therapy. Recent studies have focused on immunotherapy, with the introduction of new checkpoint inhibitors and personalized immunotherapy enhancing treatment efficacy. Advancements in multi-omics, nanotechnology, and artificial intelligence have further deepened the understanding of the mechanisms underlying tumoral growth and their interaction with therapeutic effects, which has paved the way for precision oncology. This review aims to highlight the recent advancements in the understanding and management of skin cancer, and provide an overview of existing and emerging diagnostic, prognostic, and therapeutic modalities, while highlighting areas that require further research to bridge the existing knowledge gaps.

Indexed as

MelanomaSkin NeoplasmsArtificial IntelligenceHumansImmunotherapyartificial intelligenceimmunotherapymelanomananotechnologynon-invasive diagnostic techniquesprecision oncologyskin cancertreatment

Identifiers

PMID39133519
PMCPMC11320697

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.