Serigne N Lo, Caroline Gjorup, Annette Hougaard Chakera, Lisbet Rosenkrantz Hölmich, Marc Moncrieff, Alastair MacKenzie Ross, Oliver Cassell, Jiawen Ma, Marie Brinch-Møller Weitemeyer, Roger Olofsson Bagge, Siri Klausen, Vinicius F Calsavara, João P Duprat Neto, Eduardo Bertolli, Sydney Ch'ng, Robyn P M Saw, Kerwin F Shannon, Andrew J Spillane, Omgo E Nieweg, Jonathan R Stretch, Graham J Mann, Jenny L C Geh, Lauren E Haydu, Richard C W Martin, Cimarron Sharon, Giorgos C Karakousis, Mohammed Kashani-Sabet, George Adigbli, Mary-Ann El Sharouni, Jeffrey E Gershenwald, Richard A Scolyer, John F Thompson, Alexander H R Varey
{"title":"Global Applicability of a Risk Prediction Tool for Sentinel Node Positivity in Patients With Primary Cutaneous Melanoma.","authors":"Serigne N Lo, Caroline Gjorup, Annette Hougaard Chakera, Lisbet Rosenkrantz Hölmich, Marc Moncrieff, Alastair MacKenzie Ross, Oliver Cassell, Jiawen Ma, Marie Brinch-Møller Weitemeyer, Roger Olofsson Bagge, Siri Klausen, Vinicius F Calsavara, João P Duprat Neto, Eduardo Bertolli, Sydney Ch'ng, Robyn P M Saw, Kerwin F Shannon, Andrew J Spillane, Omgo E Nieweg, Jonathan R Stretch, Graham J Mann, Jenny L C Geh, Lauren E Haydu, Richard C W Martin, Cimarron Sharon, Giorgos C Karakousis, Mohammed Kashani-Sabet, George Adigbli, Mary-Ann El Sharouni, Jeffrey E Gershenwald, Richard A Scolyer, John F Thompson, Alexander H R Varey","doi":"10.1001/jamadermatol.2025.0318","DOIUrl":null,"url":null,"abstract":"<p><strong>Importance: </strong>The Melanoma Institute Australia (MIA) sentinel node (SN) metastasis risk calculator provides estimates of positivity for individual patients based on 6 standard clinicopathological parameters and the full 6-parameter model has been externally validated previously using US data. However, given its geographically widespread use, further validation is required to ensure its applicability to other populations.</p><p><strong>Objective: </strong>To further externally validate the MIA SN metastasis risk calculator and increase its precision by refinement of the 95% CIs.</p><p><strong>Design, setting, and participants: </strong>A retrospective multicenter cohort study was carried out using data from 4 continents, including the national Danish Melanoma Database and cancer centers in the UK (n = 3), US (n = 2), New Zealand (n = 1), Sweden (n = 1), and Brazil (n = 1). All patients aged 18 years or older who had an SN biopsy performed for an invasive primary cutaneous melanoma and data available on the following parameters: SN status, patient age at diagnosis, Breslow thickness, and melanoma subtype were included (n = 15 731). Available data were also collected on ulceration status, lymphovascular invasion, and the tumor mitotic rate. Data were collected between July 2021 and December 2023, and the analysis was conducted between January 2024 and June 2024.</p><p><strong>Main outcomes and measures: </strong>The primary outcome was the area under the curve (AUC) of the receiver operating characteristics for the full (6-parameter) risk prediction model. Secondary outcomes were the AUCs for each country and for the limited models (3-5 parameters), the model calibration, and the recalculated 95% CIs for the models. Decision curve analysis was performed to assess the tool's clinical utility.</p><p><strong>Results: </strong>The whole pooled cohort consisted of 15 731 patients; 4989 had all 6 parameters available. The AUC was 73.0% (95% CI, 70.6%-75.3%) in the subset with all 6 parameters available, and 70.8%, 71.5%, and 70.1% when 1, 2, or 3 optional parameters were missing, respectively. Calibration was excellent, with an intercept and calibration slope of 0.01 (95% CI, -0.02 to 0.03) and 1.03 (95% CI, 0.90-1.16), respectively. The updated 95% CI ranges were substantially tighter, with a median reduction of more than 75%.</p><p><strong>Conclusions and relevance: </strong>This study found that the MIA SN-positivity calculator performed best with all 6 parameters and has been significantly improved (version 2), with the same risk point estimates but much tighter 95% CIs. These results demonstrated that the calculator was robust, precise, and applicable to geographically widespread melanoma populations.</p>","PeriodicalId":14734,"journal":{"name":"JAMA dermatology","volume":" ","pages":""},"PeriodicalIF":11.5000,"publicationDate":"2025-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"JAMA dermatology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1001/jamadermatol.2025.0318","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"DERMATOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Importance: The Melanoma Institute Australia (MIA) sentinel node (SN) metastasis risk calculator provides estimates of positivity for individual patients based on 6 standard clinicopathological parameters and the full 6-parameter model has been externally validated previously using US data. However, given its geographically widespread use, further validation is required to ensure its applicability to other populations.
Objective: To further externally validate the MIA SN metastasis risk calculator and increase its precision by refinement of the 95% CIs.
Design, setting, and participants: A retrospective multicenter cohort study was carried out using data from 4 continents, including the national Danish Melanoma Database and cancer centers in the UK (n = 3), US (n = 2), New Zealand (n = 1), Sweden (n = 1), and Brazil (n = 1). All patients aged 18 years or older who had an SN biopsy performed for an invasive primary cutaneous melanoma and data available on the following parameters: SN status, patient age at diagnosis, Breslow thickness, and melanoma subtype were included (n = 15 731). Available data were also collected on ulceration status, lymphovascular invasion, and the tumor mitotic rate. Data were collected between July 2021 and December 2023, and the analysis was conducted between January 2024 and June 2024.
Main outcomes and measures: The primary outcome was the area under the curve (AUC) of the receiver operating characteristics for the full (6-parameter) risk prediction model. Secondary outcomes were the AUCs for each country and for the limited models (3-5 parameters), the model calibration, and the recalculated 95% CIs for the models. Decision curve analysis was performed to assess the tool's clinical utility.
Results: The whole pooled cohort consisted of 15 731 patients; 4989 had all 6 parameters available. The AUC was 73.0% (95% CI, 70.6%-75.3%) in the subset with all 6 parameters available, and 70.8%, 71.5%, and 70.1% when 1, 2, or 3 optional parameters were missing, respectively. Calibration was excellent, with an intercept and calibration slope of 0.01 (95% CI, -0.02 to 0.03) and 1.03 (95% CI, 0.90-1.16), respectively. The updated 95% CI ranges were substantially tighter, with a median reduction of more than 75%.
Conclusions and relevance: This study found that the MIA SN-positivity calculator performed best with all 6 parameters and has been significantly improved (version 2), with the same risk point estimates but much tighter 95% CIs. These results demonstrated that the calculator was robust, precise, and applicable to geographically widespread melanoma populations.
期刊介绍:
JAMA Dermatology is an international peer-reviewed journal that has been in continuous publication since 1882. It began publication by the American Medical Association in 1920 as Archives of Dermatology and Syphilology. The journal publishes material that helps in the development and testing of the effectiveness of diagnosis and treatment in medical and surgical dermatology, pediatric and geriatric dermatology, and oncologic and aesthetic dermatologic surgery.
JAMA Dermatology is a member of the JAMA Network, a consortium of peer-reviewed, general medical and specialty publications. It is published online weekly, every Wednesday, and in 12 print/online issues a year. The mission of the journal is to elevate the art and science of health and diseases of skin, hair, nails, and mucous membranes, and their treatment, with the aim of enabling dermatologists to deliver evidence-based, high-value medical and surgical dermatologic care.
The journal publishes a broad range of innovative studies and trials that shift research and clinical practice paradigms, expand the understanding of the burden of dermatologic diseases and key outcomes, improve the practice of dermatology, and ensure equitable care to all patients. It also features research and opinion examining ethical, moral, socioeconomic, educational, and political issues relevant to dermatologists, aiming to enable ongoing improvement to the workforce, scope of practice, and the training of future dermatologists.
JAMA Dermatology aims to be a leader in developing initiatives to improve diversity, equity, and inclusion within the specialty and within dermatology medical publishing.