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Correlation between clinical trial endpoints of marketed cancer drugs and reimbursement decisions in China

Bibliographic Data

ID22080797
AuthorsKexin Ling (China Pharmaceutical University), Huli Qin (China Pharmaceutical University), Yiman Feng (China Pharmaceutical University), Hongxi Che (China Pharmaceutical University), Jinxi Ding (0009-0003-8563-2540, China Pharmaceutical University, corresponding author), Wei Li (0000-0002-3581-849X, China Pharmaceutical University, corresponding author)
Year2022
Volume10
Pages1062736-1062736
Publication date2022-11-24
Open AccessYes
TypeARTICLE
VenueFrontiers in Public Health (JOURNAL)
Journal identifiersISSN: 2296-2565 • E-ISSN: 2296-2565
PublisherFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2022.1062736
PMID36504948
OpenAlexW4309931578
LanguageEN
Citations received2
References cited18

Objective This study aimed to assess whether different clinical trial endpoints in pivotal trials of cancer drugs were associated with reimbursement decisions in China. Materials and methods Cancer drugs marketed before June 30 th , 2021 with publicly available technical review reports for application of drug registration on Center for Drug Evaluation (CDE) website were reviewed. The trial design characteristics and relevant clinical outcomes [e.g., overall survival (OS), progression-free survival (PFS) and objective response rate (ORR)] were extracted from the technical review reports, while the reimbursement decisions were reviewed from National Healthcare Security Administration (NHSA) website. The differences in trial characteristics and clinical outcomes between drugs with positive reimbursement decisions and negative ones were compared by hypothesis test (Pearson's chi-squared test, Fisher's exact test, independent samples t -test and Mann-Whitney U test). The correlation between different clinical trial endpoints and reimbursement decisions was analyzed by multivariate logistic regression. Results There were 112 cancer drug indications included in this study. Among these indications, 76 received a positive reimbursement decision, and the most common primary endpoints of them were PFS (42.1%) and ORR (30.3%). Taking PFS (OR = 7.333) and ORR (OR = 5.271) as the primary endpoints were more likely to receive a positive reimbursement decision compared with OS ( P = 0.003). The proportion of drugs marketed with phase I (75.0%) and phase II (85.7%) clinical trials receiving positive reimbursement decisions are significantly higher than those marketed with phase III clinical trials (61.3%, P = 0.043). The magnitude of clinical benefit only had subtle influences (P risk benefit − OS = 0.627, P risk benefit − PFS = 0.087, P survival benefit − OS = 0.545, P survival benefit − PFS = 0.189) on the drug reimbursement decisions, however, the drug prices and clinical needs also made a difference on that. Conclusion This study found that, in Chinese drug price negotiations from 2017 to 2021, policymakers have focused more on meeting clinical needs and filling therapeutical gaps in National Reimbursement Drug List (NRDL), while requirements for the selection of primary endpoints, clinical trial phases, and clinical benefits have been reduced. In the future, emphasis should be put on the use of surrogate endpoints and clinical benefits

Actuarial science · Business · Cancer · Cancer drugs · China · Clinical trial · Family medicine · Health care · Intensive care medicine · Political science · Reimbursement · Economic and Financial Impacts of Cancer · Health Systems, Economic Evaluations, Quality of Life · Medicine · Statistical Methods in Clinical Trials · Internal Medicine

  • The reimbursement decision speed for oncology new drugs in China and its determinant factors

    Open Access•Xingyue Zhu, Yang Chen•Frontiers in Public Health•2023

  • The correlation between the costs and clinical benefits of national price-negotiated anticancer drugs for specific cancers in China

    Open Access•Yuwen Bao, Yanyan Liu et al.•Journal of Global Health•2023

  • Cancer statistics in China, 2015

    Open Access•Wanqing Chen, Rongshou Zheng et al.•CA: A Cancer Journal for Clinicians•2016

  • Global Cancer Statistics 2020

    Open Access•Hyuna Sung, Adalberto M Filho et al.•CA: A Cancer Journal for Clinicians•2021

  • Uncertainty tolerance among experts involved in drug reimbursement recommendations

    Open Access•Wiesława Dominika Wranik, L L Gambold et al.•Health Policy•2021

Citations per year0.67
Citation span2023 - 2023 (1)
Highly citedNo

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