Novel Algorithm for the Estimation of Cancer Incidence Using Claims Data in Japan: A Feasibility Study.
Novel Algorithm for the Estimation of Cancer Incidence Using Claims Data in Japan: A Feasibility Study.
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DOI：
10.1200/go.22.00222
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发表时间：
2023-01
影响因子：
4.5
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中科院分区：
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我们开发了从日本索赔数据库中识别新诊断癌症患者的算法，以识别样本人群中新诊断癌症的患者，并将其与日本全国癌症发病率进行比较，以评估新算法的有效性。我们开发了两种算法来识别胃癌、肺癌、结直肠癌、乳腺癌和宫颈癌患者：仅诊断（算法 1），以及结合诊断、治疗和药物（算法 2）。 2017 年，从匿名商业理赔数据库（JMDC 理赔数据库）中确定新诊断癌症患者，有两个纳入/排除标准：选择所有癌症患者（摘录 1），并排除 2015 年或 2016 年接受过癌症治疗的患者（摘录 2）。我们估计了五个癌症部位的癌症发病率，并将其与日本国家癌症登记处的发病率（使用 95% CI 计算的标准化发病率）进行比较。根据地点、算法和排除标准，新诊断癌症的患者人数从 219 人到 17,840 人不等。对于摘录 1 和算法 1、摘录 1 和算法 2、摘录 2 和算法 1，JMDC 索赔数据库中的标准化发病率显着高于国家登记数据。在摘录 2 和算法 2 中，男性结直肠癌和女性胃癌、肺癌和宫颈癌在 JMDC 和国家登记数据中显示出相似的癌症发病率。通过使用诊断、手术和药物的综合信息（算法 2），并以 2 年癌症治疗史作为排除标准（摘录 2），新颖的算法可以有效地从理赔数据中提取癌症患者的信息。
We developed algorithms to identify patients with newly diagnosed cancer from a Japanese claims database to identify the patients with newly diagnosed cancer of the sample population, which were compared with the nationwide cancer incidence in Japan to assess the validity of the novel algorithms. We developed two algorithms to identify patients with stomach, lung, colorectal, breast, and cervical cancers: diagnosis only (algorithm 1), and combining diagnosis, treatments, and medicines (algorithm 2). Patients with newly diagnosed cancer were identified from an anonymized commercial claims database (JMDC Claims Database) in 2017 with two inclusions/exclusion criteria: selecting all patients with cancer (extract 1) and excluding patients who had received cancer treatments in 2015 or 2016 (extract 2). We estimated the cancer incidence of the five cancer sites and compared it with the Japan National Cancer Registry incidence (calculated standardized incidence ratio with 95% CIs). The number of patients with newly diagnosed cancer ranged from 219 to 17,840 by the sites, algorithms, and exclusion criteria. Standardized incidence ratios were significantly higher in the JMDC Claims Database than in the national registry data for extract 1 and algorithm 1, extract 1 and algorithm 2, and extract 2 and algorithm 1. In extract 2 and algorithm 2, colorectal cancer in male and stomach, lung, and cervical cancers in females showed similar cancer incidence in the JMDC and national registry data. The novel algorithms are effective for extracting information about patients with cancer from claims data by using the combined information on diagnosis, procedures, and medicines (algorithm 2), with 2-year cancer-treatment history as an exclusion criterion (extract 2).