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Pharmacoepidemiol Drug Saf. 2021 Nov;30(11):1471-1485. doi: 10.1002/pds.5338. Epub 2021 Aug 24.
2
Comparisons of Real-World Time-to-Event End Points in Oncology Research.肿瘤学研究中真实世界事件发生时间终点的比较。
JCO Clin Cancer Inform. 2021 Jan;5:45-46. doi: 10.1200/CCI.20.00125.
3
Emulating Randomized Clinical Trials With Nonrandomized Real-World Evidence Studies: First Results From the RCT DUPLICATE Initiative.基于真实世界证据的非随机研究模拟随机对照试验:RCT DUPLICATE 计划的初步结果。
Circulation. 2021 Mar 9;143(10):1002-1013. doi: 10.1161/CIRCULATIONAHA.120.051718. Epub 2020 Dec 17.
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Concordance of real-world versus conventional progression-free survival from a phase 3 trial of endocrine therapy as first-line treatment for metastatic breast cancer.从转移性乳腺癌一线内分泌治疗的 III 期临床试验来看,真实世界与传统无进展生存期的一致性。
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Nonrandomized Real-World Evidence to Support Regulatory Decision Making: Process for a Randomized Trial Replication Project.支持监管决策的非随机真实世界证据:随机试验复制项目的流程。
Clin Pharmacol Ther. 2020 Apr;107(4):817-826. doi: 10.1002/cpt.1633. Epub 2019 Oct 25.
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Evaluating the Use of Nonrandomized Real-World Data Analyses for Regulatory Decision Making.评估非随机真实世界数据分析在监管决策中的应用。
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Palbociclib plus letrozole as first-line therapy in estrogen receptor-positive/human epidermal growth factor receptor 2-negative advanced breast cancer with extended follow-up.帕博西尼联合来曲唑作为雌激素受体阳性/人表皮生长因子受体 2 阴性晚期乳腺癌的一线治疗,随访时间延长。
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电子病历数据在肿瘤学中的有效性研究:一项回顾性队列研究,模拟 PALOMA-2 试验。

Effectiveness research in oncology with electronic health record data: A retrospective cohort study emulating the PALOMA-2 trial.

机构信息

Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.

Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, Massachusetts, USA.

出版信息

Pharmacoepidemiol Drug Saf. 2023 Apr;32(4):426-434. doi: 10.1002/pds.5565. Epub 2022 Nov 14.

DOI:10.1002/pds.5565
PMID:36345809
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10038825/
Abstract

PURPOSE

Oncology electronic health record (EHR) databases have increased in quality and availability over the past decade, yet it remains unclear whether these clinical practice data can be used to conduct reliable comparative effectiveness studies. We sought to emulate a clinical trial with EHR data in the advanced breast cancer population and compare our results against the trial.

METHODS

This cohort study used EHR data from US oncology practices. All elements of the study were defined to mimic the PALOMA-2 trial as closely as possible. Patients with hormone-positive, HER-2 negative metastatic breast cancer with no prior treatment for metastatic disease were included. Patients initiating palbociclib and letrozole on the same day following the earliest record of metastasis were compared to those initiating letrozole only. The primary associational measure was the conditional hazard ratio for time-to-next treatment (TTNT). TTNT is well-measured in our data source and amenable for calibration against the randomized study results of the PALOMA-2 trial. We used multiple imputation for several patient characteristics with missing values.

RESULTS

There were 3836 study-eligible women with advanced breast cancer. The hazard ratio for TTNT in the observational study (HR: 0.62; 95% CI: 0.56-0.68) was closely aligned with that of the randomized trial (HR: 0.64; 95% CI: 0.52-0.78).

CONCLUSIONS

Under our assumptions on missing data and comparability of the two study populations, results from our non-randomized study closely matched that of the randomized trial. Further studies are needed to determine whether EHR data can yield reliable conclusions on treatment effects in oncology.

摘要

目的

过去十年中,肿瘤电子健康记录(EHR)数据库的质量和可用性都有所提高,但仍不清楚这些临床实践数据是否可用于进行可靠的疗效比较研究。我们试图使用 EHR 数据在晚期乳腺癌人群中模拟临床试验,并将我们的结果与试验进行比较。

方法

这项队列研究使用了美国肿瘤学实践中的 EHR 数据。研究的所有要素都被定义为尽可能紧密地模拟 PALOMA-2 试验。纳入激素受体阳性、HER-2 阴性转移性乳腺癌患者,且既往无转移性疾病的治疗史。符合以下条件的患者被纳入研究:在出现转移的最早记录后同一天开始接受帕博西利联合来曲唑治疗的患者与仅开始接受来曲唑治疗的患者进行比较。主要关联衡量指标为至下一次治疗的时间(TTNT)的条件风险比。在我们的数据源中,TTNT 得到了很好的测量,并且可以与 PALOMA-2 试验的随机研究结果进行校准。我们使用多重插补法处理了几个缺失值的患者特征。

结果

共有 3836 名符合条件的晚期乳腺癌患者。观察性研究中的 TTNT 风险比(HR:0.62;95%CI:0.56-0.68)与随机试验非常吻合(HR:0.64;95%CI:0.52-0.78)。

结论

在我们对缺失数据的假设和两个研究人群的可比性的前提下,我们的非随机研究结果与随机试验结果非常吻合。需要进一步研究以确定 EHR 数据是否可以在肿瘤学中得出关于治疗效果的可靠结论。