Zhang Hyun-Soo, Yang Yeunsoo, Lee Sunmi, Park Sohee, Nam Chung Mo, Jee Sun Ha
Department of Biostatistics, Graduate School of Public Health, Yonsei University, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Korea.
Department of Biomedical Informatics, College of Medicine, Yonsei University, Seoul, Korea.
Int J Colorectal Dis. 2022 Aug;37(8):1827-1834. doi: 10.1007/s00384-022-04212-9. Epub 2022 Jul 14.
Immortal time bias (ITB) continues to distort many observational studies on metformin use and cancer risk. Our objective was to employ three statistical methods proven to avoid ITB and compare their results to that of a naïve time-fixed analysis in order to provide further evidence of metformin's association, or none thereof, with colorectal cancer (CRC) incidence.
A total of 41,533 Korean subjects with newly diagnosed type-2 diabetes in 2005-2015 were selected from a prospectively maintained cohort (median follow-up of 6.3 years). Time-to-CRC incidence was regressed upon metformin use (yes/no, average prescription days/year) using time-dependent Cox, landmark, nested case-control, and time-fixed Cox analyses. Other CRC risk factors were included to adjust for possible confounding.
Neither metformin ever-use nor average metformin prescription days/year was associated with incident CRC hazard in time-dependent Cox, landmark, and nested case-control analyses with HR (95% CI) of 0.88 (0.68-1.13), 0.86 (0.65-1.12), and 1.10 (0.86-1.40) for metformin ever-use, and 0.97 (0.90-1.04), 0.95 (0.88-1.04), and 1.02 (0.95-1.10) for average metformin prescription days/year, respectively. In contrast, time-fixed Cox regression showed a falsely exaggerated protective effect of metformin on CRC incidence.
The association between metformin use and subsequent CRC incidence was statistically nonsignificant after accounting for time-related biases such as ITB. Previous studies that avoided these biases and meta-analyses of RCTs on metformin and cancer incidence were in agreement with our results. A definitive, large-scale RCT is needed to clarify this topic, and future observational studies should be explicit in avoiding ITB and other time-related biases.
Immortal time bias(ITB)持续扭曲了许多关于二甲双胍使用与癌症风险的观察性研究。我们的目的是采用三种已被证明可避免 ITB 的统计方法,并将其结果与 naive time-fixed 分析进行比较,以进一步提供二甲双胍与结直肠癌(CRC)发生率之间存在或不存在关联的证据。
从一个前瞻性维护的队列中(中位随访时间为 6.3 年),选择了 2005-2015 年新诊断为 2 型糖尿病的 41533 名韩国受试者。使用时间依赖性 Cox、landmark、嵌套病例对照和时间固定 Cox 分析,将 CRC 发病率回归到二甲双胍使用(是/否,平均处方天数/年)上。纳入其他 CRC 风险因素以调整可能的混杂因素。
在时间依赖性 Cox、landmark 和嵌套病例对照分析中,二甲双胍的使用和平均处方天数/年均与 CRC 发病风险无关,HR(95%CI)分别为 0.88(0.68-1.13)、0.86(0.65-1.12)和 1.10(0.86-1.40),而对于平均处方天数/年,HR(95%CI)分别为 0.97(0.90-1.04)、0.95(0.88-1.04)和 1.02(0.95-1.10)。相比之下,时间固定 Cox 回归显示二甲双胍对 CRC 发生率的保护作用被夸大了。
在考虑到 ITB 等与时间相关的偏倚后,二甲双胍的使用与随后的 CRC 发生率之间的关联在统计学上无显著性。以前避免这些偏倚的研究和二甲双胍与癌症发生率的 RCT 荟萃分析与我们的结果一致。需要一项大型、明确的 RCT 来阐明这一问题,未来的观察性研究应明确避免 ITB 和其他与时间相关的偏倚。