Evidence map›Paper›PMID 42163824›Full record

ArticleActa dermato-venereologica2026

European Expert Consensus on Essential Variables for Teledermatological Assessment of Skin Tumours.

Alexander Detlefsen, Tine Vestergaard, Niels Kvorning Ternov, Lars Konge, Åsa Ingvar, Kari Nielsen, Kasper Bostlund Assersen

Abstract readConsensus Statement
In one paragraph

Article in Acta dermato-venereologica, 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

7 authors.

Alexander DetlefsenDepartment of Dermatology and Allergy Centre, Odense University Hospital, Odense, Denmark. alexanderdetlefsen@gmail.com.ORCID 0009-0009-6978-9461
Tine VestergaardDepartment of Dermatology and Allergy Centre, Odense University Hospital, Odense, Denmark.
Niels Kvorning TernovDepartment of Plastic Surgery, Copenhagen University Hospital - Herlev and Gentofte, Copenhagen, Denmark.
Lars KongeCopenhagen Academy for Medical Education and Simulation, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark.
Åsa IngvarDepartment of Dermatology, Skåne University Hospital Lund and Department of Clinical Sciences Lund, Dermatology, Lund University, Lund, Sweden.
Kari NielsenDepartment of Dermatology, Skåne University Hospital Lund and Department of Clinical Sciences Lund, Dermatology, Lund University, Lund, Sweden.
Kasper Bostlund AssersenDepartment of Dermatology and Allergy Centre, Odense University Hospital, Odense, Denmark. kasper_assersen@hotmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Teledermatology is increasingly used for the assessment of suspicious skin tumours, yet referral content remains poorly standardized. To develop a European expert consensus on the essential clinical and visual variables required for teledermatological assessment of primary skin tumours. A 3-round modified Delphi study was conducted among experienced dermatologists. In round 1, participants proposed essential variables. In round 2, variables were rated for essentiality, clinical relevance and feasibility. In round 3, binary voting was used to define final consensus. Consensus was predefined as ≥67% agreement. Interquatile ranges were calculated to assess response stability. A total of 47 variables were proposed in round 1. Following quantitative scoring, 34 variables progressed to round 3. Twelve variables met the predefined consensus threshold, primarily related to image quality and lesion characteristics. Sensitivity analyses using geographic subgroups and higher consensus thresholds demonstrated that image-quality variables were the most robust. This European expert consensus defines a focused and clinically practical core dataset for teledermatological assessment of skin tumours. These variables may support standardization of referrals and facilitate future validation and AI-assisted workflows.

Indexed as

DermatologySkin NeoplasmsTelepathologyDelphi TechniqueEuropeHumansObserver VariationPredictive Value of TestsReproducibility of ResultsVoting

Identifiers

PMID42163824
PMCPMC13191222

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Registered trials

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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.