Evidence map›Paper›PMID 41614452›Full record

ReviewCA: a cancer journal for clinicians

Advances in the noninvasive diagnosis of melanoma-40 years beyond the ABCDs.

Joshua Burshtein, Alexander Witkowski, Danny Zakria, Milaan Shah, Angela Rosenberg, Lauren DeBusk, Joanna Ludzik, Giovanni Pellacani, Darrell Rigel

Erratum issuedAbstract readReview
In one paragraph

Review in CA: a cancer journal for clinicians. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Biomedical optics express · 2026
    Article
  2. Review
  3. Article
  4. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Joshua BurshteinDepartment of Dermatology, University of Illinois Chicago, Chicago, Illinois, USA.ORCID https://orcid.org/0000-0002-9851-088X
Alexander WitkowskiDepartment of Dermatology, Oregon Health and Science University, Portland, Oregon, USA.ORCID https://orcid.org/0000-0001-5860-7532
Danny ZakriaDepartment of Dermatology, Mount Sinai Icahn School of Medicine, New York, New York, USA.ORCID https://orcid.org/0000-0001-8399-5311
Milaan ShahDepartment of Dermatology, Medical University of South Carolina, Charleston, South Carolina, USA.ORCID https://orcid.org/0000-0002-2911-9887
Angela RosenbergDepartment of Dermatology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Lauren DeBuskDepartment of Dermatology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.ORCID https://orcid.org/0009-0005-5228-9867
Joanna LudzikDepartment of Bioinformatics and Telemedicine, Jagiellonian University Medical College, Krakow, Poland.
Giovanni PellacaniDepartment of Dermatology, La Sapienza University of Rome, Rome, Italy.ORCID https://orcid.org/0000-0002-7222-2951
Darrell RigelDepartment of Dermatology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.ORCID https://orcid.org/0000-0002-4005-7031

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The early detection of cutaneous melanoma is critical to survival outcomes. Because less than one half of melanomas in the United States are diagnosed by dermatologists, the ABCD (asymmetry, border irregularity, color variation, diameter >6 mm) acronym, created 40 years ago with the later addition of "E" for evolution (ABCDE), was developed for nondermatologist health care professionals and the public to simplify and enhance the diagnosis of early melanoma. It continues to be the global, naked-eye, nondevice-assisted standard for initial triage of pigmented lesions. This clinical review discusses the changing clinical diagnostic landscape and examines the currently available first-line and second-line detection modalities for melanoma. It also provides updates to the first-line triage approach and discusses the challenges of regulatory agency oversight for the safe and effective use of current and emerging skin cancer detection technologies. It is critical that health care professionals globally have knowledge of these technologies to enhance their diagnosis of melanoma.

Indexed as

Early Detection of CancerMelanomaSkin NeoplasmsDermoscopyHumansTriageanniversaryartificial intelligenceasymmetry, border irregularity, color variation, diameter >6 mm (ABCD)dermatoscopydermoscopydetectiondiagnosismelanomareflectance confocal microscopytechnology

Identifiers

PMID41614452
PMCPMC12856975

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.