Evidence map›Paper›PMID 41578083›Full record

ArticleAnnals of surgical oncology2026

Prognostic Value of Non-nodal Regional Metastases in Predicting Sentinel Lymph Node Status in Cutaneous Melanoma: Multicenter Analysis of the Sentinel Lymph Node Working Group Database.

Nazia Riaz, Stanley P Leong, Mohammed Kashani-Sabet, Richard L White, John T Vetto, Schlomo Schneebaum, Cristina O'Donoghue, J Harrison Howard, Eli Avisar, Jukes P Namm and 6 more

Erratum issuedAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Annals of surgical oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors.

Nazia RiazDepartment of Surgery, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden. nazia.riaz@gu.se.
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 & 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.
J 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, AR, USA.
Barbara PockajDepartment of General Surgery, Division of Surgical Oncology, Mayo Clinic Arizona, Phoenix, AR, 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 PjSahlgrenska Universitetssjukhuset ALFGBG-965024Sahlgrenska Universitetssjukhuset NHV-977897Swedish Research Council 2020-02446
6 · The paper itself

Abstract

backgroundNon-nodal regional metastases, including microsatellite lesions, satellites, and in-transit metastases, are an uncommon but aggressive entity in cutaneous melanoma. We evaluated their association with clinicopathological features, sentinel lymph node (SLN) status, and prognosis. PATIENTS AND

methodsThe Sentinel Lymph Node Working Group (SLNWG) database was used to examine the clinicopathological associations of non-nodal regional metastases, their prognostic significance in relation to SLN status, and their impact on clinical outcomes, including in patients with negative SLN status, using multivariable logistic regression and Cox regression models, respectively.

resultsOf 13,474 patients in the SLNWG database, 12,644 underwent SLN biopsy, and 3.4% (n = 426) had non-nodal regional metastases at diagnosis. These were associated with adverse clinicopathological features, higher odds of SLN positivity (OR 2.75; 95% CI 2.18-3.47; P < 0.001), and worse relapse-free survival (RFS: HR 1.47, 95% CI 1.07-2.02, P = 0.02), melanoma specific survival (MSS: HR 1.72, 95% CI 1.06-2.78, P = 0.03), overall survival (OS: HR 1.49, 95% CI 1.01-2.21, P = 0.05). Adverse prognostic associations were also observed in the SLN negative subgroup (RFS: HR 1.93; 95% CI 1.58-2.36, P < 0.001; MSS: HR 2.24; 95% CI 1.58-3.17, P < 0.001, and OS: HR 1.51; 95% CI 1.17-1.95, P = 0.002).

conclusionsNon-nodal regional metastases independently predict SLN involvement and adverse prognosis, and outcomes remain poor even when SLN is negative. These findings reinforce the risk stratification and prognostic relevance of SLN assessment in clinically node-negative patients with non-nodal regional metastases.

Indexed as

MelanomaNeoplasm Recurrence, LocalSentinel Lymph NodeSentinel Lymph Node BiopsySkin NeoplasmsAdultAgedDatabases, FactualFemaleFollow-Up StudiesHumansLymphatic MetastasisMaleMiddle AgedNeoplasm StagingPrognosis

Identifiers

PMID41578083
PMCPMC13083337

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.