Evidence map›Paper›PMID 38216800›Full record

ArticleAnnals of surgical oncology2024

Validation of the Melanoma Institute of Australia's Sentinel Lymph Node Biopsy Risk Prediction Tool for Cutaneous Melanoma.

Sainiteesh Maddineni, Matthew P Dizon, Vijaytha Muralidharan, Lexi A Young, John B Sunwoo, Fred M Baik, Susan M Swetter

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In one paragraph

Article in Annals of surgical oncology, 2024. 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 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.4field-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, 12 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 1 country.

Sainiteesh MaddineniDepartment of Otolaryngology-Head and Neck Surgery, Stanford University School of Medicine, Stanford, CA, USA.
Matthew P DizonCenter for Innovation to Implementation, Veterans Affairs Palo Alto Health Care System, Menlo Park, CA, USA.
Vijaytha MuralidharanDepartment of Dermatology/Pigmented Lesion and Melanoma Program, Stanford University Medical Center and Cancer Institute, Stanford, CA, USA.
Lexi A YoungDepartment of Otolaryngology-Head and Neck Surgery, Stanford University School of Medicine, Stanford, CA, USA.
John B SunwooDepartment of Otolaryngology-Head and Neck Surgery, Stanford University School of Medicine, Stanford, CA, USA.
Fred M BaikDepartment of Otolaryngology-Head and Neck Surgery, Stanford University School of Medicine, Stanford, CA, USA.
Susan M SwetterDermatology Service, Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA. sswetter@stanford.edu.ORCID http://orcid.org/0000-0003-2098-2948
Stanford University · USVA Palo Alto Health Care System · USStanford Medicine · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFor patients with cutaneous melanoma, sentinel lymph node biopsy (SLNB) is used to stage regional lymph nodes pathologically and inform prognosis, treatment, and surveillance. To reduce unnecessary surgeries, predictive tools aim to identify those at lowest risk for node-positive disease. The Melanoma Institute of Australia (MIA)'s Prediction Tool for Sentinel Node Metastasis Risk estimates risk of a positive SLNB using patient age and primary melanoma Breslow depth, histologic subtype, ulceration, mitotic rate, and lymphovascular invasion.

methodsA single-institution validation was performed of the MIA Calculator with 982 cutaneous melanoma patients that included all relevant clinicopathologic factors and SLNB pathology outcomes. The study evaluated discrimination via receiver operating characteristic (ROC) curves, calibration via calibration plots, and clinical utility via decision curve analysis of the MIA model in various subgroups. The data were fit to MIA model parameters via a generalized linear model to assess the odds ratio of parameters in our dataset.

resultsThe Calculator demonstrated limited discrimination based on ROC curves (C-statistic, 0.709) and consistently underestimated risk of SLN positivity. It did not provide a net benefit over SLNB performed on all patients or reduce unnecessary procedures in the risk domain of 0% to 16%. Compared with the original development and validation cohorts, the current study cohort had thinner tumors and a larger proportion of acral melanomas.

conclusionsThe Calculator generally underestimated SLN positivity risk, including assessment in patients who would be counseled to forego SLNB based on a predicted risk lower than 5%. Recognition of the tool's current limitations emphasizes the need to refine it further for use in medical decision-making.

Indexed as

MelanomaSentinel Lymph NodeSkin NeoplasmsAustraliaHumansLymph NodesPrognosisRetrospective StudiesSentinel Lymph Node BiopsyCutaneous melanomaLymph node metastasisLymph nodesPredictive modelsRisk calculatorSentinel lymph node biopsy

Identifiers

PMID38216800
OpenAlexW4390824217

What OpenQuestion holds

Textmetadata
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.