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本文引用的文献

1
Avoidable flaws in observational analyses: an application to statins and cancer.避免观察性分析中的缺陷:他汀类药物与癌症的应用。
Nat Med. 2019 Oct;25(10):1601-1606. doi: 10.1038/s41591-019-0597-x. Epub 2019 Oct 7.
2
Discussion of Schuemie et al: "A plea to stop using the case-control design in retrospective database studies".舒米等人的讨论:“呼吁停止在回顾性数据库研究中使用病例对照设计”。
Stat Med. 2019 Sep 30;38(22):4209-4212. doi: 10.1002/sim.8320.
3
A plea to stop using the case-control design in retrospective database studies.呼吁停止在回顾性数据库研究中使用病例对照设计。
Stat Med. 2019 Sep 30;38(22):4199-4208. doi: 10.1002/sim.8215. Epub 2019 Aug 22.
4
UK phenomics platform for developing and validating electronic health record phenotypes: CALIBER.英国表型组学平台用于开发和验证电子健康记录表型:CALIBER。
J Am Med Inform Assoc. 2019 Dec 1;26(12):1545-1559. doi: 10.1093/jamia/ocz105.
5
Validation of Cancer Cases Using Primary Care, Cancer Registry, and Hospitalization Data in the United Kingdom.利用英国初级保健、癌症登记和住院数据验证癌症病例。
Epidemiology. 2018 Mar;29(2):308-313. doi: 10.1097/EDE.0000000000000786.
6
Statins for Prevention of Cardiovascular Disease in Adults: Evidence Report and Systematic Review for the US Preventive Services Task Force.他汀类药物用于成人心血管疾病预防:美国预防服务工作组的证据报告和系统评价
JAMA. 2016 Nov 15;316(19):2008-2024. doi: 10.1001/jama.2015.15629.
7
Specifying a target trial prevents immortal time bias and other self-inflicted injuries in observational analyses.指定目标试验可防止观察性分析中出现不朽时间偏倚和其他自伤性偏倚。
J Clin Epidemiol. 2016 Nov;79:70-75. doi: 10.1016/j.jclinepi.2016.04.014. Epub 2016 May 27.
8
Using Big Data to Emulate a Target Trial When a Randomized Trial Is Not Available.在没有随机试验时使用大数据模拟目标试验。
Am J Epidemiol. 2016 Apr 15;183(8):758-64. doi: 10.1093/aje/kwv254. Epub 2016 Mar 18.
9
Data resource profile: cardiovascular disease research using linked bespoke studies and electronic health records (CALIBER).数据资源简介:利用定制研究和电子健康记录进行心血管疾病研究(CALIBER)。
Int J Epidemiol. 2012 Dec;41(6):1625-38. doi: 10.1093/ije/dys188. Epub 2012 Dec 5.
10
Lack of effect of lowering LDL cholesterol on cancer: meta-analysis of individual data from 175,000 people in 27 randomised trials of statin therapy.降低 LDL 胆固醇对癌症无影响:27 项他汀类药物治疗随机试验中 175000 人个体数据的荟萃分析。
PLoS One. 2012;7(1):e29849. doi: 10.1371/journal.pone.0029849. Epub 2012 Jan 19.

病例对照设计中模拟目标试验:他汀类药物与结直肠癌的应用。

Emulating a target trial in case-control designs: an application to statins and colorectal cancer.

机构信息

Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.

RTI Health Solutions, Barcelona, Spain.

出版信息

Int J Epidemiol. 2020 Oct 1;49(5):1637-1646. doi: 10.1093/ije/dyaa144.

DOI:10.1093/ije/dyaa144
PMID:32989456
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7746409/
Abstract

BACKGROUND

Previous case-control studies have reported a strong association between statin use and lower cancer risk. It is unclear whether this association reflects a benefit of statins or is the result of design decisions that cannot be mapped to a (hypothetical) target trial (that would answer the question of interest).

METHODS

We outlined the protocol of a target trial to estimate the effect of statins on colorectal cancer incidence among adults with low-density lipoprotein (LDL) cholesterol below 5 mmol/L. We then emulated the target trial using linked electronic health records of 752 469 eligible UK adults (CALIBER 1999-2016) under both a cohort design and a case-control sampling of the cohort. We used pooled logistic regression to estimate intention-to-treat and per-protocol effects of statins on colorectal cancer, with adjustment for baseline and time-varying risk factors via inverse-probability weighting. Finally, we compared our case-control effect estimates with those obtained using previous case-control procedures.

RESULTS

Over the 6-year follow-up, 3596 individuals developed colorectal cancer. Estimated intention-to-treat and per-protocol hazard ratios were 1.00 (95% confidence interval [CI]: 0.87, 1.16) and 0.90 (95% CI: 0.71, 1.12), respectively. As expected, adequate case-control sampling yielded the same estimates. By contrast, previous case-control analytical approaches yielded estimates that appeared strongly protective (odds ratio 0.57, 95% CI: 0.36, 0.91, for ≥5 vs. <5 years of statin use).

CONCLUSIONS

Our study demonstrates how to explicitly emulate a target trial using case-control data to reduce discrepancies between observational and randomized trial evidence. This approach may inform future case-control analyses for comparative effectiveness research.

摘要

背景

之前的病例对照研究报告称,他汀类药物的使用与较低的癌症风险之间存在很强的关联。目前尚不清楚这种关联是反映了他汀类药物的益处,还是设计决策的结果,这些决策无法映射到(假设的)目标试验(该试验将回答感兴趣的问题)。

方法

我们概述了一项旨在估计 LDL 胆固醇低于 5mmol/L 的成年人使用他汀类药物对结直肠癌发病率影响的目标试验方案。然后,我们使用 752469 名符合条件的英国成年人(CALIBER 1999-2016 年)的电子健康记录,在队列设计和队列病例对照抽样下模拟目标试验。我们使用汇总逻辑回归估计他汀类药物对结直肠癌的意向治疗和方案治疗效果,并通过逆概率加权调整基线和随时间变化的风险因素。最后,我们将我们的病例对照效果估计与以前的病例对照程序获得的估计进行了比较。

结果

在 6 年的随访期间,3596 人发生了结直肠癌。估计的意向治疗和方案治疗风险比分别为 1.00(95%置信区间 [CI]:0.87,1.16)和 0.90(95% CI:0.71,1.12)。正如预期的那样,充分的病例对照抽样得出了相同的估计值。相比之下,以前的病例对照分析方法得出的估计值似乎具有很强的保护作用(比值比 0.57,95%CI:0.36,0.91,用于≥5 年与<5 年他汀类药物使用)。

结论

我们的研究展示了如何使用病例对照数据明确模拟目标试验,以减少观察性和随机试验证据之间的差异。这种方法可能为未来的病例对照分析提供信息,以进行比较有效性研究。