Evidence map›Paper›PMID 30863861›Full record

ArticleJournal of the National Cancer Institute2019

Distinct Clinicopathological and Prognostic Features of Thin Nodular Primary Melanomas: An International Study from 17 Centers.

Clio Dessinioti, Niki Dimou, Alan C Geller, Aravella Stergiopoulou, Serigne Lo, Ulrike Keim, Jeffrey E Gershenwald, Lauren E Haydu, Simone Ribero, Pietro Quaglino and 31 more

Open access · bronzeAbstract readMulticenter Study
In one paragraph

Article in Journal of the National Cancer Institute, 2019. 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
3.1field-weighted citation impact, top 7% of its field
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, 47 citations in OpenAlex.

  1. Article
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  7. Review
  8. Article
  9. Multivariate analysis of prognostic factors in patients with nodular melanoma.Journal of cancer research and clinical oncology · 2021
    Article
  10. Article
  11. Article
  12. Subtyping Cutaneous Melanoma Matters.JNCI cancer spectrum · 2020
    Article
  13. Article
  14. 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

41 authors at 2 institutions in 3 countries.

Clio Dessinioti
Niki Dimou
Alan C Geller
Aravella Stergiopoulou
Serigne Lo
Ulrike Keim
Jeffrey E Gershenwald
Lauren E Haydu
Simone Ribero
Pietro Quaglino
Susana Puig
Josep Malvehy
Lidija Kandolf-Sekulovic
Tatjana Radevic
Roland Kaufmann
Laura Meister
Eduardo Nagore
Victor Traves
Grigorios G Champsas
Mihaela Plaka
Brigitte Dreno
Emilie Varey
David Moreno Ramirez
Reinhard Dummer
Joanna Mangana
Axel Hauschild
Friederike Egberts
Ketty Peris
Laura Del Regno
Ana-Maria Forsea
Sabina A Zurac
Ricardo Vieira
Ana Brinca
Iris Zalaudek
Teresa Deinlein
Eleni Linos
Evangelos Evangelou
John F Thompson
Richard A Scolyer
Claus Garbe
Alexander J Stratigos
National and Kapodistrian University of Athens · GRThe University of Sydney · AU

Funding

UT M.D. Anderson Cancer Center SPORE in MelanomaP50CA093459 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI GRIMM, ELIZABETH A · 2004 to 2014
$23.7M
Targeted Advertising for Cancer PreventionDP2CA225433 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LINOS, ELENI · 2017 to 2019
$2.9M
Involving older adults in decision making for skin cancerK76AG054631 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LINOS, ELENI · 2016 to 2018
$644k
Online Advertising for Skin Cancer PreventionR21CA212201 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LINOS, ELENI · 2017 to 2018
$379k
NCI NIH HHS DP2 CA225433NCI NIH HHS P50 CA093459NCI NIH HHS R21 CA212201NIA NIH HHS K76 AG054631
6 · The paper itself

Abstract

backgroundNodular melanoma (NM) is more likely to be fatal compared with other melanoma subtypes, an effect attributed to its greater Breslow thickness.

methodsClinicopathological features of NM and superficial spreading melanoma (SSM) diagnosed in 17 centers in Europe (n = 15), the United States, and Australia between 2006 and 2015, were analyzed by multivariable logistic regression analysis, with emphasis on thin (T1 ≤ 1.0 mm) melanomas. Cox analysis assessed melanoma-specific survival. All statistical tests were two sided.

resultsIn all, 20 132 melanomas (NM: 5062, SSM: 15 070) were included. Compared with T1 SSM, T1 NM was less likely to have regression (odds ratio [OR] = 0.46, 95% confidence interval [CI] = 0.29 to 0.72) or nevus remnants histologically (OR = 0.60, 95% CI = 0.42 to 0.85), and more likely to have mitoses (OR = 1.97, 95% CI = 1.33 to 2.93) and regional metastasis (OR = 1.77, 95% CI = 1.02 to 3.05). T1 NM had a higher mitotic rate than T1 SSM (adjusted geometric mean = 2.2, 95% CI = 1.9 to 2.5 vs 1.6, 95% CI = 1.5 to 1.7 per mm2, P < .001). Cox multivariable analysis showed a higher risk for melanoma-specific death for NM compared with SSM for T1 (HR = 2.10, 95% CI = 1.24 to 3.56) and T2 melanomas (HR = 1.30, 95% CI = 1.01 to 1.68), and after accounting for center heterogeneity, the difference was statistically significant only for T1 (HR = 2.20, 95% CI = 1.28 to 3.78). The NM subtype did not confer increased risk within each stratum (among localized tumors or cases with regional metastasis).

conclusionsT1 NM (compared with T1 SSM) was associated with a constellation of aggressive characteristics that may confer a worse prognosis. Our results indicate NM is a high-risk melanoma subtype that should be considered for inclusion in future prognostic classifications of melanoma.

Indexed as

AustraliaConfidence IntervalsEuropeFemaleHumansKaplan-Meier EstimateLogistic ModelsMaleMelanomaMiddle AgedMitotic IndexMultivariate AnalysisNevusOdds RatioPrognosisRetrospective Studies

Identifiers

PMID30863861
PMCPMC6910161
OpenAlexW2921015548

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.