Global Applicability of a Risk Prediction Tool for Sentinel Node Positivity in Patients With Primary Cutaneous Melanoma.

IF 11.5 1区 医学 Q1 DERMATOLOGY
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
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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.

原发性皮肤黑色素瘤患者前哨淋巴结阳性风险预测工具的全球适用性
重要性:澳大利亚黑色素瘤研究所(MIA)前哨淋巴结(SN)转移风险计算器根据6个标准临床病理参数提供个体患者的阳性估计,完整的6参数模型先前已使用美国数据进行了外部验证。然而,鉴于其在地理上的广泛使用,需要进一步验证以确保其适用于其他人群。目的:通过对95% ci的细化,进一步对MIA SN转移风险计算器进行外部验证,提高其准确性。设计、环境和参与者:一项回顾性多中心队列研究使用了来自四大洲的数据,包括丹麦国家黑色素瘤数据库和英国(n = 3)、美国(n = 2)、新西兰(n = 1)、瑞典(n = 1)和巴西(n = 1)的癌症中心。所有年龄在18岁或以上,因浸润性原发性皮肤黑色素瘤进行过SN活检的患者,以及以下参数的可用数据:SN状态、诊断时患者年龄、Breslow厚度和黑色素瘤亚型(n = 15 731)。我们还收集了溃疡状态、淋巴血管侵袭和肿瘤有丝分裂率的可用数据。数据收集于2021年7月至2023年12月,分析于2024年1月至2024年6月进行。主要结局和指标:主要结局为全(6参数)风险预测模型中受试者工作特征的曲线下面积(AUC)。次要结果是每个国家和有限模型(3-5个参数)的auc、模型校准和模型重新计算的95% ci。进行决策曲线分析以评估该工具的临床效用。结果:整个合并队列包括15 731例患者;4989有所有6个参数可用。在所有6个参数均可获得的子集中,AUC为73.0% (95% CI, 70.6%-75.3%),而当1、2或3个可选参数缺失时,AUC分别为70.8%、71.5%和70.1%。校正效果很好,截距和校正斜率分别为0.01 (95% CI, -0.02 ~ 0.03)和1.03 (95% CI, 0.90 ~ 1.16)。更新后的95% CI范围明显收紧,中位数降幅超过75%。结论和相关性:本研究发现MIA sn阳性计算器在所有6个参数中表现最佳,并已显着改进(版本2),具有相同的风险点估计,但95% ci更严格。这些结果表明,计算器是强大的,精确的,并适用于地理上广泛分布的黑色素瘤人群。
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来源期刊
JAMA dermatology
JAMA dermatology DERMATOLOGY-
CiteScore
14.10
自引率
5.50%
发文量
300
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.
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