Clinical Benefits of new Systemic Therapy for Small-Cell Lung Cancer Over Two Decades: A Cross-Sectional Study

IF 1.9 4区 医学 Q3 RESPIRATORY SYSTEM
Yuejing Chen, Honghong Liu, Shaohua Bai, Xuejiao Han, Fei Jin, Bo Cui
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引用次数: 0

Abstract

Introduction

Small cell lung cancer (SCLC) is one of the most lethal malignancies worldwide. This study aimed to examine the clinical benefits of new systemic therapies derived from randomized controlled trials (RCTs) published from 2002 to 2023 based on the magnitude of clinical benefit scale developed by the European Society for Medical Oncology (ESMO-MCBS).

Methods

We searched PubMed for Phase 3 RCTs on systemic therapy for SCLC published between January 2002 and December 2023. Therapeutic benefit was graded from 5 to 1 according to the ESMO-MCBS framework, with a score of 4 or 5 representing a meaningful clinical benefit. The statistical power of the trial design was also assessed using ESMO-MCBS.

Results

Sixty-four RCTs with 23 683 participants were eligible for inclusion. The number of RCTs related to molecular targeted therapy or immunotherapy has increased over the years. Among the 62 RCTs for which statistical power could be evaluated, 38 (61.3%) were designed to identify an effect size that would meet the ESMO-MCBS benefit threshold and were less likely to investigate second- or subsequent-line treatment (15.8% vs. 50.0%, p = 0.004), have noninferiority design (0% vs. 25.0%, p = 0.002) and set PFS (0% vs. 16.7%) or response rate (0% vs. 16.7%) as the only primary endpoint (p = 0.002). The ESMO-MCBS framework was applied in 29 RCTs reporting positive results, and only 8 (27.6%) met the threshold for a clinical benefit. The RCTs designed to detect differences that would meet the thresholds were more likely to demonstrate meaningful clinical benefit (87.5% vs. 50.0%, p = 0.099).

Conclusion

Most positive SCLC-RCTs did not meet the ESMO-MCBS threshold for meaningful clinical benefits. Strict power calculations should be adopted in the design of future RCTs.

Abstract Image

二十年来小细胞肺癌新系统疗法的临床疗效:一项横断面研究
简介小细胞肺癌(SCLC)是全球致死率最高的恶性肿瘤之一。本研究旨在根据欧洲肿瘤内科学会(ESMO-MCBS)制定的临床获益量表,研究2002年至2023年期间发表的随机对照试验(RCT)中新系统疗法的临床获益:我们在 PubMed 上检索了 2002 年 1 月至 2023 年 12 月间发表的有关 SCLC 全身疗法的 3 期 RCT。根据ESMO-MCBS框架,治疗获益从5分到1分不等,4分或5分代表有意义的临床获益。此外,还使用ESMO-MCBS评估了试验设计的统计能力:结果:64 项研究性试验、23 683 名参与者符合纳入条件。近年来,与分子靶向治疗或免疫疗法相关的研究性试验数量有所增加。在可评估统计能力的62项RCT中,有38项(61.3%)的设计旨在确定符合ESMO-MCBS获益阈值的效应大小,较少研究二线或后续治疗(15.8% vs. 50.0%,p = 0.004)、非劣效设计(0% vs. 25.0%,p = 0.002)以及将PFS(0% vs. 16.7%)或反应率(0% vs. 16.7%)作为唯一的主要终点(p = 0.002)。ESMO-MCBS框架被应用于29项报告阳性结果的研究中,只有8项(27.6%)达到了临床获益的阈值。旨在检测符合阈值的差异的 RCT 更有可能显示出有意义的临床获益(87.5% 对 50.0%,P = 0.099):大多数SCLC-RCT阳性研究未达到ESMO-MCBS的有意义临床获益阈值。未来的 RCT 设计应采用严格的功率计算。
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来源期刊
Clinical Respiratory Journal
Clinical Respiratory Journal 医学-呼吸系统
CiteScore
3.70
自引率
0.00%
发文量
104
审稿时长
>12 weeks
期刊介绍: Overview Effective with the 2016 volume, this journal will be published in an online-only format. Aims and Scope The Clinical Respiratory Journal (CRJ) provides a forum for clinical research in all areas of respiratory medicine from clinical lung disease to basic research relevant to the clinic. We publish original research, review articles, case studies, editorials and book reviews in all areas of clinical lung disease including: Asthma Allergy COPD Non-invasive ventilation Sleep related breathing disorders Interstitial lung diseases Lung cancer Clinical genetics Rhinitis Airway and lung infection Epidemiology Pediatrics CRJ provides a fast-track service for selected Phase II and Phase III trial studies. Keywords Clinical Respiratory Journal, respiratory, pulmonary, medicine, clinical, lung disease, Abstracting and Indexing Information Academic Search (EBSCO Publishing) Academic Search Alumni Edition (EBSCO Publishing) Embase (Elsevier) Health & Medical Collection (ProQuest) Health Research Premium Collection (ProQuest) HEED: Health Economic Evaluations Database (Wiley-Blackwell) Hospital Premium Collection (ProQuest) Journal Citation Reports/Science Edition (Clarivate Analytics) MEDLINE/PubMed (NLM) ProQuest Central (ProQuest) Science Citation Index Expanded (Clarivate Analytics) SCOPUS (Elsevier)
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