Evidence map›Paper›PMID 33339193›Full record

ReviewInternational journal of molecular sciences2020

Melanoma Biomarkers and Their Potential Application for In Vivo Diagnostic Imaging Modalities.

Monica Hessler, Elmira Jalilian, Qiuyun Xu, Shriya Reddy, Luke Horton, Kenneth Elkin, Rayyan Manwar, Maria Tsoukas, Darius Mehregan, Kamran Avanaki

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
2.8field-weighted citation impact, top 7% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 50 citations in OpenAlex.

  1. Pooled it
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  5. [Metastatic breast melanoma in a man: Case report].Revista medica del Instituto Mexicano del Seguro Social · 2024
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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

10 authors at 2 institutions in 1 country.

Monica HesslerDepartment of Biomedical Engineering, Wayne State University, Detroit, MI 48201, USA.ORCID 0000-0001-9621-3809
Elmira JalilianDepartment of Ophthalmology and Visual Sciences, University of Illinois at Chicago, Chicago, IL 60607, USA.
Qiuyun XuDepartment of Biomedical Engineering, Wayne State University, Detroit, MI 48201, USA.
Shriya ReddyDepartment of Biomedical Engineering, Wayne State University, Detroit, MI 48201, USA.
Luke HortonDepartment of Biomedical Engineering, Wayne State University, Detroit, MI 48201, USA.
Kenneth ElkinDepartment of Biomedical Engineering, Wayne State University, Detroit, MI 48201, USA.
Rayyan ManwarDepartment of Biomedical Engineering, Wayne State University, Detroit, MI 48201, USA.ORCID 0000-0002-8550-8932
Maria TsoukasDepartment of Dermatology, University of Illinois at Chicago, Chicago, IL 60607, USA.
Darius MehreganDepartment of Dermatology, School of Medicine, Wayne State University School of Medicine, Detroit, MI 48201, USA.
Kamran AvanakiRichard and Loan Hill Department of Bioengineering, University of Illinois at Chicago, Chicago, IL 60607, USA.
Wayne State University · USUniversity of Illinois Chicago · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Melanoma is the deadliest form of skin cancer and remains a diagnostic challenge in the dermatology clinic. Several non-invasive imaging techniques have been developed to identify melanoma. The signal source in each of these modalities is based on the alteration of physical characteristics of the tissue from healthy/benign to melanoma. However, as these characteristics are not always sufficiently specific, the current imaging techniques are not adequate for use in the clinical setting. A more robust way of melanoma diagnosis is to "stain" or selectively target the suspect tissue with a melanoma biomarker attached to a contrast enhancer of one imaging modality. Here, we categorize and review known melanoma diagnostic biomarkers with the goal of guiding skin imaging experts to design an appropriate diagnostic tool for differentiating between melanoma and benign lesions with a high specificity and sensitivity.

Indexed as

Biomarkers, TumorDermoscopyHumansMelanomaBiomarkers, Tumorbenign nevibiomarkersmelanomanon-invasiveskin cancer

Identifiers

PMID33339193
PMCPMC7765677
OpenAlexW3112210822

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.