{"title":"Statistical strategies to analyze local control after radiotherapy.","authors":"Tetsuo Saito, Kenta Murotani, Takeshi Kodaira, Naoto Shikama, Yoshinori Ito, Naoki Nakamura, Takashi Mizowaki, Yoshikazu Kagami","doi":"10.1016/j.jclinepi.2025.111758","DOIUrl":null,"url":null,"abstract":"<p><p>Historically, local progression, an outcome of effectiveness in curative radiotherapy, has not always been statistically analyzed with the same method. This article aims to elucidate the validity and relative usefulness of statistical strategies to analyze local control. In an application example, data were analyzed from a phase III trial comparing different radiation schedules for glottic cancer. The superiority of experimental treatment over standard treatment in local control was detected by a competing risks model but not detected in the analysis of local progression-free survival by a standard survival model. The use of a composite outcome, local progression-free survival, is suboptimal in that local progression and death are equally treated as the events of interest. In the analysis of local progression-free rate, by censoring death, the cumulative incidence of local progression is overestimated. We recommend the consistent use of the cumulative incidence of local progression as the endpoint to assess local control after radiotherapy.</p>","PeriodicalId":51079,"journal":{"name":"Journal of Clinical Epidemiology","volume":" ","pages":"111758"},"PeriodicalIF":7.3000,"publicationDate":"2025-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Clinical Epidemiology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.jclinepi.2025.111758","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
引用次数: 0
Abstract
Historically, local progression, an outcome of effectiveness in curative radiotherapy, has not always been statistically analyzed with the same method. This article aims to elucidate the validity and relative usefulness of statistical strategies to analyze local control. In an application example, data were analyzed from a phase III trial comparing different radiation schedules for glottic cancer. The superiority of experimental treatment over standard treatment in local control was detected by a competing risks model but not detected in the analysis of local progression-free survival by a standard survival model. The use of a composite outcome, local progression-free survival, is suboptimal in that local progression and death are equally treated as the events of interest. In the analysis of local progression-free rate, by censoring death, the cumulative incidence of local progression is overestimated. We recommend the consistent use of the cumulative incidence of local progression as the endpoint to assess local control after radiotherapy.
期刊介绍:
The Journal of Clinical Epidemiology strives to enhance the quality of clinical and patient-oriented healthcare research by advancing and applying innovative methods in conducting, presenting, synthesizing, disseminating, and translating research results into optimal clinical practice. Special emphasis is placed on training new generations of scientists and clinical practice leaders.