Evidence map›Paper›PMID 42226708›Full record

ArticleThe Australasian journal of dermatology2026

Digital Skin Checks for Skin Cancer Screening-An Audit of the Triage Performance of DermScreen.

Kathryn Chen, Nicholas H S Wong, Oliver Sun, Rhiannon Grange, Nerilee Wall, Lisa Byrom, Ron Shnier, Stephen P Shumack, Philip L Tong

Abstract read
In one paragraph

Article in The Australasian journal of dermatology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Kathryn ChenRoyal Prince Alfred Hospital, Camperdown, New South Wales, Australia.ORCID https://orcid.org/0000-0001-8072-3951
Nicholas H S WongFaculty of Risk and Actuarial Studies, University of New South Wales, Kensington, New South Wales, Australia.
Oliver SunSchool of Medicine, Western Sydney University, Campbelltown, New South Wales, Australia.
Rhiannon GrangeSchool of Medicine, Western Sydney University, Campbelltown, New South Wales, Australia.
Nerilee WallDepartment of Dermatology, Queensland Children's Hospital, South Brisbane, Queensland, Australia.
Lisa ByromSchool of Medicine, University of Queensland, Herston, Queensland, Australia.
Ron ShnierI-MED Radiology Network, Sydney, New South Wales, Australia.
Stephen P ShumackDepartment of Dermatology, Royal North Shore Hospital, St Leonard's, New South Wales, Australia.ORCID https://orcid.org/0000-0002-9121-7795
Philip L TongDermScreen, Bondi Junction, New South Wales, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In Australia, population-level early skin cancer detection is limited because dermatology service capacity is insufficient to meet demand. Digital skin check models, which combine total body photography by nurse melanographers with remote dermatologist review of clinical and dermoscopic images, may improve triage of suspicious lesions and prioritise access to in-person assessment. In this retrospective audit of 1577 reports, we evaluated the performance of one such service, DermScreen, as a triage tool to expedite in-person dermatologist review for suspicious lesions and to support more efficient use of limited dermatology resources by reducing unnecessary consultations and enabling more targeted biopsy decisions.

Indexed as

Early Detection of CancerMelanomaPhotographySkin NeoplasmsTriageAdultAgedAustraliaDermoscopyFemaleHumansMaleMedical AuditMiddle AgedRetrospective Studiesdigital skin checkmelanoma riskskin cancer screeningtotal body photography

Identifiers

PMID42226708
PMCPMC13570491

What OpenQuestion holds

Textmetadata
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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.