Evidence map›Paper›PMID 32654237›Full record

ArticleJournal of the European Academy of Dermatology and Venereology : JEADV2020

Dermatoscopic features of thin (≤2 mm Breslow thickness) vs. thick (>2 mm Breslow thickness) nodular melanoma and predictors of nodular melanoma versus nodular non-melanoma tumours: a multicentric collaborative study by the International Dermoscopy Society.

D Sgouros, A Lallas, H Kittler, A Zarras, A Kyrgidis, C Papageorgiou, S Puig, A Scope, G Argenziano, I Zalaudek and 23 more

Abstract read
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 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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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

33 authors.

D Sgouros1st Department of Dermatology-Venereology, Andreas Sygros Hospital, National and Kapodistrian University of Athens School of Medicine, Athens, Greece.ORCID https://orcid.org/0000-0003-0009-8821
A Lallas1st Department of Dermatology, Aristotle University, Thessaloniki, Greece.ORCID https://orcid.org/0000-0002-7193-0964
H KittlerDepartment of Dermatology, Medical University of Vienna, Vienna, Austria.
A Zarras1st Department of Dermatology-Venereology, Andreas Sygros Hospital, National and Kapodistrian University of Athens School of Medicine, Athens, Greece.
A KyrgidisDepartment of Clinical Pharmacology, Aristotle University, Thessaloniki, Greece.ORCID https://orcid.org/0000-0003-3896-0309
C Papageorgiou1st Department of Dermatology, Aristotle University, Thessaloniki, Greece.
S PuigMelanoma Unit, Dermatology Department, Hospital Clinic Barcelona, Universitat de Barcelona IDIBAPS, Barcelona, Spain.
A ScopeMedical Screening Institute, Sheba Medical Center and Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel.ORCID https://orcid.org/0000-0001-9160-7411
G ArgenzianoDermatology Unit, University of Campania "Luigi Vanvitelli", Naples, Italy.
I ZalaudekDepartment of Dermatology, University of Trieste, Trieste, Italy.
M A PizzichettaDepartment of Dermatology, University of Trieste, Trieste, Italy.ORCID https://orcid.org/0000-0002-4201-8490
A MarghoobMemorial Sloan Kettering Cancer Center, Hauppauge, NY, USA.
K Liopyris1st Department of Dermatology-Venereology, Andreas Sygros Hospital, National and Kapodistrian University of Athens School of Medicine, Athens, Greece.ORCID https://orcid.org/0000-0001-9566-8238
J MalvehyMelanoma Unit, Dermatology Department, Hospital Clinic Barcelona, Universitat de Barcelona IDIBAPS, Barcelona, Spain.
C Oikonomou1st Department of Dermatology-Venereology, Andreas Sygros Hospital, National and Kapodistrian University of Athens School of Medicine, Athens, Greece.
A FlórezDepartment of Dermatology, Pontevedra University Hospital, Pontevedra, Spain.
R BraunDepartment of Dermatology, University Hospital Zürich, Zürich, Switzerland.
H CaboDermatology Institute of Medical Reserch, University of Buenos Aires, Buenos Aires, Argentina.
G NazzaroDermatology Unit, Fondazione I.R.C.C.S. Ca' Granda Ospedale Maggiore Policlinico, Milano, Italy.
S LanssensPrivate practice Dermatology Maldegem, Maldegem, Belgium.
S MenziesDiscipline of Dermatology, Sydney Medical School, The University of Sydney and Sydney Melanoma Diagnostic Centre, Royal Prince Alfred Hospital, Camperdown, NSW, Australia.
J PaoliDepartment of Dermatology and Venereology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
G Kaminska-WinciorekDepartment of Bone Marrow Transplantation and Onco-Hematology, Maria Skłodowska-Curie National Research Institute of Oncology (MSCNRIO), Gliwice Branch, Gliwice, Poland.
C LongoDepartment of Dermatology, University of Modena and Reggio Emilia, Modena, Italy.
A Katoulis2nd Department of Dermatology-Venereology, "Attikon" General University Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece.
Z ApallaState Clinic of Dermatology, Hospital for Skin and Venereal Diseases, Thessaloniki, Greece.
D Ioannides1st Department of Dermatology, Aristotle University, Thessaloniki, Greece.
L ThomasDepartment of Dermatology, Lyon University, Lyon, France.
I TrommeDepartment of Dermatology, King Albert II Institute, Cliniques Universitaires Saint Luc, Brussels, Belgium.
D OgataDepartment of Dermatology, Saitama Medical University, Saitama, Japan.
C Desinioti1st Department of Dermatology-Venereology, Andreas Sygros Hospital, National and Kapodistrian University of Athens School of Medicine, Athens, Greece.
A GellerDepartment of Social and Behavioral Sciences, Harvard TH School of Public Health, Boston, MA, USA.
A Stratigos1st Department of Dermatology-Venereology, Andreas Sygros Hospital, National and Kapodistrian University of Athens School of Medicine, Athens, Greece.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

backgroundThin nodular melanoma (NM) often lacks conspicuous melanoma-specific dermatoscopic criteria and escapes clinical detection until it progresses to a thicker and more advanced tumour.

objectiveTo investigate the dermatoscopic morphology of thin (≤2 mm Breslow thickness) vs. thick (>2 mm) NM and to identify dermatoscopic predictors of its differential diagnosis from other nodular tumours.

methodsRetrospective, morphological case-control study, conducted on behalf of the International Dermoscopy Society. Dermatoscopic images of NM and other nodular tumours from 19 skin cancer centres worldwide were collected and analysed.

resultsOverall, 254 tumours were collected (69 NM of Breslow thickness ≤2 mm, 96 NM >2 mm and 89 non-melanoma nodular lesions). Light brown coloration (50.7%) and irregular brown dots/globules (42.0%) were most frequently observed in ≤2 mm NMs. Multivariate analysis revealed that dotted vessels (3.4-fold), white shiny streaks (2.9-fold) and irregular blue structureless area (2.4-fold) were predictors for thinner NM compared to non-melanoma nodular tumours. Overall, irregular blue structureless area (3.4-fold), dotted vessels (4.6-fold) and serpentine vessels (1.9-fold) were predictors of all NM compared to non-melanoma nodular lesions. LIMITATIONS: Absence of a centralized, consensus pathology review and cases selected form tertiary centres maybe not reflecting the broader community.

conclusionsOur study sheds light into the dermatoscopic morphology of thin NM in comparison to thicker NM and could provide useful clues for its differential diagnosis from other non-melanoma nodular tumours.

Indexed as

MelanomaSkin NeoplasmsCase-Control StudiesDermoscopyHumansRetrospective Studies

Identifiers

PMID32654237
PMCPMC8422943

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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.