Korteweg-de Vries Institute for Mathematics, University of Amsterdam, Amsterdam, The Netherlands
Department of Biomedical Data Science, Leiden University Medical Center, Leiden, The Netherlands.
BMJ Open. 2022 May 10;12(5):e052941. doi: 10.1136/bmjopen-2021-052941.
Cure rate models accounting for cured and uncured patients, provide additional insights into long and short-term survival. We aim to evaluate the prognostic value of histological response and chemotherapy intensification on the cure fraction and progression-free survival (PFS) for the uncured patients.
Retrospective analysis of a randomised controlled trial, MRC BO06 (EORTC 80931).
Population-based study but proposed methodology can be applied to other trial designs.
A total of 497 patients with resectable highgrade osteosarcoma, of which 118 were excluded because chemotherapy was not started, histological response was not reported, abnormal dose was reported or had disease progression during treatment.
Two regimens with the same anticipated cumulative dose (doxorubicin 6×75 mg/m/week; cisplatin 6×100 mg/m/week) over different time schedules: every 3 weeks in regimen-C and every 2 weeks in regimen-DI.
The primary outcome is PFS computed from end of treatment because cure, if it occurs, may happen at any time during treatment. A mixture cure model is used to study the effect of histological response and intensified chemotherapy on the cure status and PFS for the uncured patients.
Histological response is a strong prognostic factor for the cure status (OR 3.00, 95% CI 1.75 to 5.17), but it has no clear effect on PFS for the uncured patients (HR 0.78, -95% CI 0.53 to 1.16). The cure fractions are 55% (46%-63%) and 29% (22%-35%), respectively, among patients with good and poor histological response (GR, PR). The intensified regimen was associated with a higher cure fraction among PR (OR 1.90, 95% CI 0.93 to 3.89), with no evidence of effect for GR (OR 0.78, 95% CI 0.38 to 1.59).
Accounting for cured patients is valuable in distinguishing the covariate effects on cure and PFS. Estimating cure chances based on these prognostic factors is relevant for counselling patients and can have an impact on treatment decisions.
ISRCTN86294690.
考虑到已治愈和未治愈患者的治愈率模型可提供对长期和短期生存的更深入了解。我们旨在评估组织学反应和化疗强化对未治愈患者的治愈率和无进展生存期(PFS)的预测价值。
随机对照试验 MRC BO06(EORTC 80931)的回顾性分析。
基于人群的研究,但提出的方法可应用于其他试验设计。
共 497 例可切除的高级骨肉瘤患者,其中 118 例因未开始化疗、未报告组织学反应、报告异常剂量或在治疗期间疾病进展而被排除在外。
两种方案具有相同的预期累积剂量(阿霉素 6×75mg/m/周;顺铂 6×100mg/m/周),但时间安排不同:方案-C 每 3 周一次,方案-DI 每 2 周一次。
主要结果是从治疗结束时开始计算的 PFS,因为如果发生治愈,则可能在治疗期间的任何时间发生。使用混合治愈模型来研究组织学反应和强化化疗对未治愈患者的治愈状态和 PFS 的影响。
组织学反应是治愈状态的一个强有力的预后因素(OR 3.00,95%CI 1.75 至 5.17),但对未治愈患者的 PFS 没有明显影响(HR 0.78,95%CI 0.53 至 1.16)。在组织学反应良好(GR,PR)和较差的患者中,治愈率分别为 55%(46%-63%)和 29%(22%-35%)。强化方案与 PR 患者的治愈率更高相关(OR 1.90,95%CI 0.93 至 3.89),但对 GR 患者没有影响(OR 0.78,95%CI 0.38 至 1.59)。
考虑到已治愈患者,在区分对治愈和 PFS 的协变量影响方面具有价值。基于这些预后因素估计治愈机会对患者咨询具有相关性,并可能对治疗决策产生影响。
ISRCTN86294690。