New Technologies in Diagnosis and Prognosis of Melanocytic Lesions.

Olga Marushchak, Rebecca Yakubov, Rose Yakubov, Gary Goldenberg

Abstract readReview

In one paragraph

Review in The Journal of clinical and aesthetic dermatology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it

0cells of the map it votes in

2citing 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

2 citing papers in PubMed.

Spatial Proteomics as a Potential Decision-Support Layer for Early Melanoma: A Narrative Review.International journal of dermatology · 2026
Review
Where Reflectance Confocal Microscopy Provides the Greatest Benefit for Diagnosing Skin Cancers: The Experience of the National Cancer Institute of Naples.Cancers · 2025
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.

Olga MarushchakDr. Marushchak is with the Department of Internal Medicine at Mount Sinai Morningside-West in New York, New York.

Rebecca YakubovMs. Rebeeca Yakubov and Ms. Rose Yakubov are with McMaster University in Hamilton, Ontario.

Rose YakubovMs. Rebeeca Yakubov and Ms. Rose Yakubov are with McMaster University in Hamilton, Ontario.

Gary GoldenbergDr. Goldenberg is with the Department of Dermatology at Icahn School of Medicine at Mount Sinai in New York, New York.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Analysis of morphological characteristics for the diagnosis of melanoma remains a challenge. New technologies for the diagnosis and prognosis of melanocytic lesions have been emerging to ensure earlier and more accurate detection. In this article, we review multiple technologies that improve melanoma diagnostic accuracy such as electrical impedance spectroscopy, pigmented lesion assay, reflectance confocal microscopy, and gene expression profile tests.

Indexed as

diagnosiselectrical impedance spectroscopygene expression profileMelanomapigmented lesion assayreflectance confocal microscopy

Identifiers

PMID36909871

PMCPMC10005807

What OpenQuestion holds

Textmetadata

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.