Filippo Vitale, Fabio Salomone, Massimo Di Maio, Simeone D’Ambrosio, Annarita Avanzo, Fabiana Napolitano, Angela Viggiano, Luigi Liguori, Anna Russo, Maria Carmela Isernia, Lucia Longo, Antonio Santaniello, Luigi Formisano, Roberto Bianco, Alberto Servetto
{"title":"在晚期癌症的免疫治疗试验中进行审查。一个系统回顾和一个元研究","authors":"Filippo Vitale, Fabio Salomone, Massimo Di Maio, Simeone D’Ambrosio, Annarita Avanzo, Fabiana Napolitano, Angela Viggiano, Luigi Liguori, Anna Russo, Maria Carmela Isernia, Lucia Longo, Antonio Santaniello, Luigi Formisano, Roberto Bianco, Alberto Servetto","doi":"10.1093/jnci/djaf237","DOIUrl":null,"url":null,"abstract":"Background Informative censoring affects interpretation of trials results. We investigated censoring rates in randomized controlled trials (RCTs) of immune checkpoint inhibitors (ICIs). Methods We searched articles of RCTs testing ICIs in advanced cancers, published up to 12/2023. For both progression free (PFS) and overall survival (OS) Kaplan-Meier (K-M) curves, we collected the rates of censored patients at the first (T1), median PFS/OS (TmPFS/OS) and last (T2) study intervals. We calculated the unweighted difference in censoring rates (ΔC-E) and the weighted difference adjusted for enrolment size (wΔC-E), in control (C) versus experimental (E) arm at T1. Tm and T2. Results Of the selected 140 trials, censoring data at T1, Tm and T2 were available for 53/140 (37.8%) and 55/140 (39.2%) trials for PFS and OS K-M curves, respectively. Rates of censoring in C and E were: at T1, 8.19% and 4.92%, for PFS; TmPFS, 15.5% and 12.5%; T1, 2.33% and 1.16%, for OS; TmOS, 20.1% and 21.3%; T2, 23.29% and 26.34%, for PFS; T2, 33.3% and 39.49%, for OS. Analysis of wΔC-E revealed more censoring in C at T1 (PFS: 1.32; OS: 0.40) and in E at T2 (PFS: -2.61; OS: -5.23). Finally, at T1, we found larger rates of censoring in C of open-label compared to double-blinded RCTs. Conclusions Multiple RCTs of ICIs did not report censoring data. The rate of censoring is higher in C at the start and increases in E over the course of the trial. Further studies might elucidate the role of censoring on survival outcomes.","PeriodicalId":501635,"journal":{"name":"Journal of the National Cancer Institute","volume":"32 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2025-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Censoring in trials testing immunotherapy in advanced cancers. A systematic review and a meta-research study\",\"authors\":\"Filippo Vitale, Fabio Salomone, Massimo Di Maio, Simeone D’Ambrosio, Annarita Avanzo, Fabiana Napolitano, Angela Viggiano, Luigi Liguori, Anna Russo, Maria Carmela Isernia, Lucia Longo, Antonio Santaniello, Luigi Formisano, Roberto Bianco, Alberto Servetto\",\"doi\":\"10.1093/jnci/djaf237\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Background Informative censoring affects interpretation of trials results. We investigated censoring rates in randomized controlled trials (RCTs) of immune checkpoint inhibitors (ICIs). Methods We searched articles of RCTs testing ICIs in advanced cancers, published up to 12/2023. For both progression free (PFS) and overall survival (OS) Kaplan-Meier (K-M) curves, we collected the rates of censored patients at the first (T1), median PFS/OS (TmPFS/OS) and last (T2) study intervals. We calculated the unweighted difference in censoring rates (ΔC-E) and the weighted difference adjusted for enrolment size (wΔC-E), in control (C) versus experimental (E) arm at T1. Tm and T2. Results Of the selected 140 trials, censoring data at T1, Tm and T2 were available for 53/140 (37.8%) and 55/140 (39.2%) trials for PFS and OS K-M curves, respectively. Rates of censoring in C and E were: at T1, 8.19% and 4.92%, for PFS; TmPFS, 15.5% and 12.5%; T1, 2.33% and 1.16%, for OS; TmOS, 20.1% and 21.3%; T2, 23.29% and 26.34%, for PFS; T2, 33.3% and 39.49%, for OS. Analysis of wΔC-E revealed more censoring in C at T1 (PFS: 1.32; OS: 0.40) and in E at T2 (PFS: -2.61; OS: -5.23). Finally, at T1, we found larger rates of censoring in C of open-label compared to double-blinded RCTs. Conclusions Multiple RCTs of ICIs did not report censoring data. The rate of censoring is higher in C at the start and increases in E over the course of the trial. Further studies might elucidate the role of censoring on survival outcomes.\",\"PeriodicalId\":501635,\"journal\":{\"name\":\"Journal of the National Cancer Institute\",\"volume\":\"32 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-08-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of the National Cancer Institute\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1093/jnci/djaf237\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of the National Cancer Institute","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/jnci/djaf237","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Censoring in trials testing immunotherapy in advanced cancers. A systematic review and a meta-research study
Background Informative censoring affects interpretation of trials results. We investigated censoring rates in randomized controlled trials (RCTs) of immune checkpoint inhibitors (ICIs). Methods We searched articles of RCTs testing ICIs in advanced cancers, published up to 12/2023. For both progression free (PFS) and overall survival (OS) Kaplan-Meier (K-M) curves, we collected the rates of censored patients at the first (T1), median PFS/OS (TmPFS/OS) and last (T2) study intervals. We calculated the unweighted difference in censoring rates (ΔC-E) and the weighted difference adjusted for enrolment size (wΔC-E), in control (C) versus experimental (E) arm at T1. Tm and T2. Results Of the selected 140 trials, censoring data at T1, Tm and T2 were available for 53/140 (37.8%) and 55/140 (39.2%) trials for PFS and OS K-M curves, respectively. Rates of censoring in C and E were: at T1, 8.19% and 4.92%, for PFS; TmPFS, 15.5% and 12.5%; T1, 2.33% and 1.16%, for OS; TmOS, 20.1% and 21.3%; T2, 23.29% and 26.34%, for PFS; T2, 33.3% and 39.49%, for OS. Analysis of wΔC-E revealed more censoring in C at T1 (PFS: 1.32; OS: 0.40) and in E at T2 (PFS: -2.61; OS: -5.23). Finally, at T1, we found larger rates of censoring in C of open-label compared to double-blinded RCTs. Conclusions Multiple RCTs of ICIs did not report censoring data. The rate of censoring is higher in C at the start and increases in E over the course of the trial. Further studies might elucidate the role of censoring on survival outcomes.