Comparative Effectiveness of Laparoscopic versus Open Colectomy on 5-Year Overall Survival in Non-Metastatic Colon Cancer: A Target Trial Emulation Study Using Retrospective Cohort Data from a Cancer Registry.

IF 4.3 2区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Clinical Epidemiology Pub Date : 2026-09-17 eCollection Date: 2026-01-01 DOI:10.2147/CLEP.S626070
Semaw Ferede Abera, Gabriele Robers, Anika Kästner, Ulrike Stentzel, Kerstin Weitmann, Wolfgang Hoffmann
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引用次数: 0

Abstract

Background: The clinical acceptance of laparoscopic colectomy (LC) as a standard alternative treatment for colon cancer hinges primarily on evidence of favorable long-term oncological outcome. The aim of this study was to compare the 5-year overall survival (OS) between stage I-III colon cancer patients who underwent either LC or open colectomy (OC).

Materials and methods: A target trial emulation (TTE) design was implemented using statewide retrospective cohort data from the Mecklenburg-Western Pomerania Cancer Registry spanning 2008 to 2018. The causal interpretation of TTE relied on the assumptions of consistency, conditional exchangeability, and positivity. The Royston-Parmar parametric survival model was applied to estimate the hazard ratio with bootstrapped 95% confidence interval (95% CI). This was complemented by differences in estimates of restricted mean survival time (RMST). Sensitivity analyses, including the E-value method, were conducted to assess the robustness of the estimated treatment effect. Three traditional (fully adjusted, change-in-estimate, and Directed Acyclic Graph-guided) Cox models were performed for comparison purposes.

Results: We included 1265 patients, of whom 30% (n= 380) received LC. The estimated HR for 5-year OS comparing LC with OC was 0.81 (95% CI: 0.60, 1.08). RMST differences for OS favored LC, but the effects were small: 0.12 months (95% CI: -0.10, 0.34), 0.36 months (95% CI: -0.15, 0.87), and 1.20 months (95% CI: -0.20, 2.60) up to 1-, 3-, and 5-years, respectively. Sensitivity analyses generally confirmed the robustness of the results. Traditional Cox models showed a survival advantage for LC, but all were affected by bias.

Conclusion: This study found comparable 5-year OS between LC and OC. The traditional Cox models spuriously overestimated the survival advantage of LC. TTE can provide useful real-world evidence for comparative effectiveness in surgical oncology, particularly when randomized evidence is limited, but it cannot replace well-conducted RCTs.

腹腔镜结肠切除术与开放式结肠切除术对非转移性结肠癌5年总生存率的比较效果:一项使用癌症登记处回顾性队列数据的目标试验模拟研究。
背景:临床接受腹腔镜结肠切除术(LC)作为结肠癌的标准替代治疗主要取决于有利的长期肿瘤预后的证据。本研究的目的是比较I-III期结肠癌患者接受LC或开放式结肠切除术(OC)的5年总生存率(OS)。材料和方法:使用梅克伦堡-西波美拉尼亚癌症登记处2008年至2018年的全州回顾性队列数据实施目标试验模拟(TTE)设计。TTE的因果解释依赖于一致性、条件互换性和积极性的假设。采用Royston-Parmar参数生存模型估计风险比,95%置信区间(95% CI)。限制平均生存时间(RMST)估计值的差异补充了这一点。进行敏感性分析,包括e值法,以评估估计治疗效果的稳健性。为了进行比较,我们使用了三种传统的Cox模型(完全调整、估计变化和有向无环图引导)。结果:我们纳入了1265例患者,其中30% (n= 380)接受了LC。LC与OC相比,5年OS的估计HR为0.81 (95% CI: 0.60, 1.08)。OS的RMST差异有利于LC,但影响很小:分别为0.12个月(95% CI: -0.10, 0.34), 0.36个月(95% CI: -0.15, 0.87)和1.20个月(95% CI: -0.20, 2.60),分别为1年,3年和5年。敏感性分析一般证实了结果的稳健性。传统Cox模型显示LC具有生存优势,但均受偏倚影响。结论:本研究发现LC和OC的5年OS相当。传统的Cox模型错误地高估了LC的生存优势。TTE可以为外科肿瘤学的比较有效性提供有用的真实证据,特别是在随机证据有限的情况下,但它不能取代执行良好的随机对照试验。
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来源期刊
Clinical Epidemiology
Clinical Epidemiology Medicine-Epidemiology
CiteScore
6.30
自引率
5.10%
发文量
169
审稿时长
16 weeks
期刊介绍: Clinical Epidemiology is an international, peer reviewed, open access journal. Clinical Epidemiology focuses on the application of epidemiological principles and questions relating to patients and clinical care in terms of prevention, diagnosis, prognosis, and treatment. Clinical Epidemiology welcomes papers covering these topics in form of original research and systematic reviews. Clinical Epidemiology has a special interest in international electronic medical patient records and other routine health care data, especially as applied to safety of medical interventions, clinical utility of diagnostic procedures, understanding short- and long-term clinical course of diseases, clinical epidemiological and biostatistical methods, and systematic reviews. When considering submission of a paper utilizing publicly-available data, authors should ensure that such studies add significantly to the body of knowledge and that they use appropriate validated methods for identifying health outcomes. The journal has launched special series describing existing data sources for clinical epidemiology, international health care systems and validation studies of algorithms based on databases and registries.
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