Evidence map›Paper›PMID 32770737›Full record

ArticleJournal of the European Academy of Dermatology and Venereology : JEADV2020

Human surface anatomy terminology for dermatology: a Delphi consensus from the International Skin Imaging Collaboration.

C Navarrete-Dechent, K Liopyris, M A Molenda, R Braun, C Curiel-Lewandrowski, S W Dusza, P Guitera, R Hofmann-Wellenhof, H Kittler, A Lallas and 12 more

Abstract readConsensus Statement
In one paragraph

Article in Journal of the European Academy of Dermatology and Venereology : JEADV, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Natural language processing in dermatology: A systematic literature review and state of the art.Journal of the European Academy of Dermatology and Venereology : JEADV · 2024
    Pooled it
  2. Review
  3. Article
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  10. Review
  11. Performance of a deep neural network in teledermatology: a single-centre prospective diagnostic study.Journal of the European Academy of Dermatology and Venereology : JEADV · 2021
    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

22 authors.

C Navarrete-DechentDermatology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA.ORCID https://orcid.org/0000-0003-4040-3640
K LiopyrisDermatology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA.ORCID https://orcid.org/0000-0001-9566-8238
M A MolendaBravia Dermatology, Toledo, OH, USA.
R BraunDepartment of Dermatology, University Hospital Zürich, Zurich, Switzerland.
C Curiel-LewandrowskiDepartment of Dermatology, The University of Arizona Cancer Center, University of Arizona, Tucson, AZ, USA.
S W DuszaDermatology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
P GuiteraMelanoma Institute Australia, The University of Sydney, Sydney, NSW, Australia.
R Hofmann-WellenhofDepartment of Dermatology, Medical University of Graz, Graz, Austria.
H KittlerDepartment of Dermatology, Medical University of Vienna, Vienna, Austria.
A LallasFirst Department of Dermatology, Aristotle University, Thessaloniki, Greece.ORCID https://orcid.org/0000-0002-7193-0964
J MalvehyMelanoma Unit, Department of Dermatology, Hospital Clinic, Institut d'Investigacions Biomediques August Pi i Sunyer (IDIBAPS), Universitat de Barcelona, Barcelona, Spain.
M A MarchettiDermatology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
M OlivieroDermatology Associates, Plantation, FL, USA.
G PellacaniDepartment of Dermatology, University of Modena and Reggio Emilia, Modena, Italy.
S PuigMelanoma Unit, Department of Dermatology, Hospital Clinic, Institut d'Investigacions Biomediques August Pi i Sunyer (IDIBAPS), Universitat de Barcelona, Barcelona, Spain.
H P SoyerDermatology Research Center, The University of Queensland Diamantina Institute, The University of Queensland, Brisbane, Australia.
T TejasviDepartment of Dermatology, University of Michigan, Ann Arbor, MI, USA.
L ThomasService de Dermatologie, Centre Hospitalier Lyon Sud, Lyon 1 University and Cancer Research Center of Lyons INSERM U1052 - CNRS UMR5286, Lyon, France.
P TschandlDepartment of Dermatology, Medical University of Vienna, Vienna, Austria.
A ScopeThe Kittner Skin Cancer Screening and Research Institute, Sheba Medical Center, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
A A MarghoobDermatology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
A C HalpernDermatology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA.ORCID https://orcid.org/0000-0001-7320-1901

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
National Cancer Institute/National Institutes of Health P30-CA008748NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

backgroundThere is no internationally vetted set of anatomic terms to describe human surface anatomy.

objectiveTo establish expert consensus on a standardized set of terms that describe clinically relevant human surface anatomy.

methodsWe conducted a Delphi consensus on surface anatomy terminology between July 2017 and July 2019. The initial survey included 385 anatomic terms, organized in seven levels of hierarchy. If agreement exceeded the 75% established threshold, the term was considered 'accepted' and included in the final list. Terms added by the participants were passed on to the next round of consensus. Terms with <75% agreement were included in subsequent surveys along with alternative terms proposed by participants until agreement was reached on all terms.

resultsThe Delphi included 21 participants. We found consensus (≥75% agreement) on 361/385 (93.8%) terms and eliminated one term in the first round. Of 49 new terms suggested by participants, 45 were added via consensus. To adjust for a recently published International Classification of Diseases-Surface Topography list of terms, a third survey including 111 discrepant terms was sent to participants. Finally, a total of 513 terms reached agreement via the Delphi method.

conclusionsWe have established a set of 513 clinically relevant terms for denoting human surface anatomy, towards the use of standardized terminology in dermatologic documentation.

Indexed as

DermatologyConsensusDelphi TechniqueDiagnostic ImagingHumansSurveys and Questionnaires

Identifiers

PMID32770737
PMCPMC8236240

What OpenQuestion holds

Textmetadata
LicenceTDM
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.