Evidence map›Paper›PMID 39893342›Full record

ArticleAnnals of surgical oncology2025

Prognostic Value of Nevus-Associated Melanoma in Patients with Melanoma.

Nazia Riaz, Anne Huibers, Stanley P Leong, Mohammed Kashani-Sabet, Richard L White, John T Vetto, Schlomo Schneebaum, Cristina O'Donoghue, Harrison Howard, Eli Avisar and 7 more

Abstract read
In one paragraph

Article in Annals of surgical oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

17 authors.

Nazia RiazDepartment of Surgery, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden. nazia.riaz@gu.se.
Anne HuibersDepartment of Surgery, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Stanley P LeongCenter for Melanoma Research and Treatment, California Pacific Medical Center and Research Institute, San Francisco, CA, USA.
Mohammed Kashani-SabetCenter for Melanoma Research and Treatment, California Pacific Medical Center and Research Institute, San Francisco, CA, USA.
Richard L WhiteDepartment of Surgery, Atrium Health Levine Cancer Center, Charlotte, NC, USA.
John T VettoDepartment of Surgery and Division of Surgical Oncology, Oregon Health and Science University, Portland, OR, USA.
Schlomo SchneebaumDepartment of Surgery, Tel Aviv University, Tel Aviv, Israel.
Cristina O'DonoghueDepartment of Surgery, Rush University Medical Center, Chicago, IL, USA.
Harrison HowardDepartment of Surgery, University of South Alabama, Mobile, AL, USA.
Eli AvisarDepartment of Surgical Oncology, University of Miami School of Medicine, Miami, FL, USA.
Jukes P NammDepartment of Surgery, Loma Linda University, Loma Linda, CA, USA.
Heidi KosiorekDepartment of Quantitative Health Sciences, Mayo Clinic, Scottsdale, AZ, USA.
Barbara PockajDepartment of General Surgery, Division of Surgical Oncology, Mayo Clinic - Arizona, Phoenix, AZ, USA.
Mark FariesDepartment of Surgery, Angeles Clinic and Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Giorgos KarakousisDivision of Endocrine and Oncologic Surgery, University of Pennsylvania School of Medicine, Philadelphia, PA, USA.
Jonathan S ZagerDepartments of Cutaneous Oncology and Sarcoma, Moffit Cancer Center, Tampa, FL, USA.
Roger Olofsson BaggeDepartment of Surgery, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.

Funding

Cancerfonden 22 2355 PjSahlgresnka University Hospital ALFGBG-965024Sahlgresnka University Hospital NHV-977897Swedish Research Council 2020-02446
6 · The paper itself

Abstract

backgroundAlthough most melanomas develop de novo, about 30% are nevus-associated melanomas, where the prognostic value is unclear. Our study aimed to determine whether nevus-associated melanoma is associated with sentinel lymph node (SLN) status and prognosis in patients with melanoma.

methodsThe Sentinel Lymph Node Working Group database, which includes comprehensive clinicopathological and outcome data, was utilized to investigate the association of nevus-associated melanoma with SLN status as well as relapse-free (RFS), melanoma-specific (MSS), and overall survival (OS) using multivariable logistic regression and Cox regression modeling.

resultsA total of 3447 adult patients with a median follow-up of 2.6 years (interquartile range 0.9-6.9) were evaluable. Compared with de novo melanomas, nevus-associated melanomas showed a significant correlation with younger age as well as favorable histological features. The presence of a nevus-associated melanoma was not identified as an independent factor for SLN status (odds ratio 1.06, 95% confidence interval [CI] 0.80-1.41; p = 0.68). Compared with de novo melanomas, nevus-associated melanomas provided independent prognostic information for a favorable RFS (hazard ratio [HR] 0.67, 95% CI 0.53-0.84; p < 0.001), MSS (HR 0.54, 95% CI 0.34-0.85; p = 0.008), and OS (HR 0.42, 95% CI 0.30-0.57; p < 0.001).

conclusionMelanomas associated with pre-existing nevi appear to be an independent favorable prognostic factor for recurrence and survival and may potentially be used as a clinical parameter for identifying patients with lower risk of recurrence.

Indexed as

MelanomaNeoplasm Recurrence, LocalNevusSentinel Lymph NodeSkin NeoplasmsAdultAgedFemaleFollow-Up StudiesHumansMaleMiddle AgedNeoplasm StagingPrognosisSentinel Lymph Node BiopsySurvival RateCutaneous melanomaPreexisting neviPrognosisRecurrent melanomaSentinel lymph node

Identifiers

PMID39893342
PMCPMC11976787

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.