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Li J, Wang Z, Zhong H, He Y, Zhang C, Niu Z, Yang S, Zhang T, Zhu L, Shu Y, Gao Y, Peng J, Song Y, Li J, Yuan Y, Zhang H, Yu G, Hua Y, Xiao J, Fu J, Zheng Y, Xue H, Luo X, Shi M, Su W, Qin S. A phase IV study to evaluate the safety of fruquintinib in Chinese patients in real-world clinical practice. Oncologist 2024; 29:e1012-e1019. [PMID: 38642091 PMCID: PMC11299944 DOI: 10.1093/oncolo/oyae073] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2024] [Accepted: 03/23/2024] [Indexed: 04/22/2024] Open
Abstract
INTRODUCTION Fruquintinib is approved in China for patients with metastatic colorectal cancer (CRC) who progressed after 2 lines of chemotherapy. This postmarketing study was conducted to evaluate the safety of fruquintinib in the Chinese population, including previously treated patients with advanced CRC and other solid tumors. METHODS Patients in the first cycle of fruquintinib or expected to start fruquintinib within a week were enrolled. Fruquintinib was administrated according to the label or per physicians' discretion. Patient characteristics and safety information were collected at baseline, 1 month, and 6 months after consent (or 30 days after the last dose). RESULTS Overall, 3005 patients enrolled between April 24, 2019 and September 27, 2022. All enrolled patients received at least one dose of fruquintinib. Most patients had metastases at baseline. The median age was 60 years. More than half (64.0%) of the patients started fruquintinib at 5 mg, and the median treatment exposure was 2.7 months. Nearly one-third (32.5%) of patients with CRC received fruquintinib with concomitant antineoplastic agents. Treatment-emergent adverse events (TEAEs) leading to dose modification were reported in 626 (20.8%) patients, and 469 (15.6%) patients experienced TEAEs leading to treatment discontinuation. The most common grade ≥ 3 TEAEs were hypertension (6.6%), palmar-plantar erythrodysesthesia syndrome (2.2%), and platelet count decreased (1.0%). Combination therapy did not lead to excessive toxicities. CONCLUSIONS The safety profile of fruquintinib in the real world was generally consistent with that in clinical studies, and the incidence of TEAEs was numerically lower than known VEGF/VEGFR inhibitor-related AEs. Fruquintinib exhibited manageable safety and tolerability in Chinese patients in the real-world setting.
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Affiliation(s)
- Jin Li
- Department of Medical Oncology, Tongji University Shanghai East Hospital, Shanghai, People’s Republic of China
| | - Zhiqiang Wang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, People’s Republic of China
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, People’s Republic of China
| | - Haijun Zhong
- Department of Medical Oncology, Zhejiang Cancer Hospital, Hangzhou, People’s Republic of China
| | - Yifu He
- Department of Medical Oncology, Anhui Provincial Cancer Hospital, Hefei, People’s Republic of China
| | - Chen Zhang
- Department of Radiotherapy and Chemotherapy, Ningbo No.2 Hospital, Ningbo, People’s Republic of China
| | - Zuoxing Niu
- Department of Medical Oncology, Shandong Cancer Hospital, Shandong Academy of Medical Sciences, Jinan, People’s Republic of China
| | - Shujun Yang
- Department of Internal Medicine, The Affiliated Cancer Hospital of Zhengzhou University and Henan Cancer Hospital, Zhengzhou, People’s Republic of China
| | - Tao Zhang
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People’s Republic of China
| | - Liangjun Zhu
- Jiangsu Cancer Hospital, Nanjing, People’s Republic of China
| | - Yongqian Shu
- Oncology, Jiangsu Province Hospital and Nanjing Medical University First Affiliated Hospital, Nanjing, People’s Republic of China
| | - Yong Gao
- Department of Oncology, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, People’s Republic of China
| | - Jianjun Peng
- Center of Gastrointestinal Surgery, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, People’s Republic of China
| | - Yan Song
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of China
| | - Jian Li
- Department of Gastrointestinal Oncology, Peking University Cancer Hospital and Institute, Beijing, People’s Republic of China
| | - Ying Yuan
- Department of Medical Oncology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People’s Republic of China
| | - Haibo Zhang
- Guangdong Provincial Hospital of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangdong Provincial Academy of Chinese Medical Sciences, Guangzhou, People’s Republic of China
| | - Gengsheng Yu
- Department of Medical Oncology, Jiangmen Central Hospital, Jiangmen, People’s Republic of China
| | - Yunqi Hua
- Department of Medical Oncology, Baotou Tumor Hospital, Baotou, People’s Republic of China
| | - Jianjun Xiao
- Department of Oncology, Zhongshan City People’s Hospital, Zhongshan, People’s Republic of China
| | - Jianfei Fu
- Department of Medical Oncology, Jinhua Central Hospital, Jinhua, People’s Republic of China
| | - Yulong Zheng
- Department of Medical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People’s Republic of China
| | - Hua Xue
- HUTCHMED Limited, Shanghai, People’s Republic of China
| | - Xian Luo
- HUTCHMED Limited, Shanghai, People’s Republic of China
| | - Ming Shi
- HUTCHMED Limited, Shanghai, People’s Republic of China
| | - Weiguo Su
- HUTCHMED Limited, Shanghai, People’s Republic of China
| | - Shukui Qin
- Gastrointestinal Cancer Center of Nanjing Tianyinshan Hospital, China Pharmaceutical University, Jiangsu, People’s Republic of China
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van der Linde M, Salet N, van Leeuwen N, Lingsma HF, Eijkenaar F. Between-hospital variation in indicators of quality of care: a systematic review. BMJ Qual Saf 2024; 33:443-455. [PMID: 38395610 DOI: 10.1136/bmjqs-2023-016726] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Accepted: 01/17/2024] [Indexed: 02/25/2024]
Abstract
BACKGROUND Efforts to mitigate unwarranted variation in the quality of care require insight into the 'level' (eg, patient, physician, ward, hospital) at which observed variation exists. This systematic literature review aims to synthesise the results of studies that quantify the extent to which hospitals contribute to variation in quality indicator scores. METHODS Embase, Medline, Web of Science, Cochrane and Google Scholar were systematically searched from 2010 to November 2023. We included studies that reported a measure of between-hospital variation in quality indicator scores relative to total variation, typically expressed as a variance partition coefficient (VPC). The results were analysed by disease category and quality indicator type. RESULTS In total, 8373 studies were reviewed, of which 44 met the inclusion criteria. Casemix adjusted variation was studied for multiple disease categories using 144 indicators, divided over 5 types: intermediate clinical outcomes (n=81), final clinical outcomes (n=35), processes (n=10), patient-reported experiences (n=15) and patient-reported outcomes (n=3). In addition to an analysis of between-hospital variation, eight studies also reported physician-level variation (n=54 estimates). In general, variation that could be attributed to hospitals was limited (median VPC=3%, IQR=1%-9%). Between-hospital variation was highest for process indicators (17.4%, 10.8%-33.5%) and lowest for final clinical outcomes (1.4%, 0.6%-4.2%) and patient-reported outcomes (1.0%, 0.9%-1.5%). No clear pattern could be identified in the degree of between-hospital variation by disease category. Furthermore, the studies exhibited limited attention to the reliability of observed differences in indicator scores. CONCLUSION Hospital-level variation in quality indicator scores is generally small relative to residual variation. However, meaningful variation between hospitals does exist for multiple indicators, especially for care processes which can be directly influenced by hospital policy. Quality improvement strategies are likely to generate more impact if preceded by level-specific and indicator-specific analyses of variation, and when absolute variation is also considered. PROSPERO REGISTRATION NUMBER CRD42022315850.
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Affiliation(s)
| | - Nèwel Salet
- Erasmus Universiteit Rotterdam, Erasmus School of Health Policy and Management, Rotterdam, The Netherlands
| | | | - Hester F Lingsma
- Department of Public Health, Erasmus MC, Rotterdam, The Netherlands
| | - Frank Eijkenaar
- Erasmus Universiteit Rotterdam, Erasmus School of Health Policy and Management, Rotterdam, The Netherlands
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Mu H, Yang X, Li Y, Zhou B, Liu L, Zhang M, Wang Q, Chen Q, Yan L, Sun W, Pan G. Three-year follow-up study reveals improved survival rate in NSCLC patients underwent guideline-concordant diagnosis and treatment. Front Oncol 2024; 14:1382197. [PMID: 38863625 PMCID: PMC11165022 DOI: 10.3389/fonc.2024.1382197] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2024] [Accepted: 05/15/2024] [Indexed: 06/13/2024] Open
Abstract
Background No studies in China have assessed the guideline-concordance level of the first-course of non-small cell lung cancer (NSCLC) diagnosis and treatment and its relationship with survival. This study comprehensively assesses the current status of guideline-concordant diagnosis (GCD) and guideline-concordant treatment (GCT) of NSCLC in China and explores its impact on survival. Methods First course diagnosis and treatment data for NSCLC patients in Liaoning, China in 2017 and 2018 (n=1828) were used and classified by whether they underwent GCD and GCT according to Chinese Society of Clinical Oncology (CSCO) guidelines. Pearson's chi-squared test was used to determine unadjusted associations between categorical variables of interest. Logistic models were constructed to identify variables associated with GCD and GCT. Kaplan-Meier analysis and log-rank tests were used to estimate and compare 3-year survival rates. Multivariate Cox proportional risk models were constructed to assess the risk of cancer mortality associated with guideline-concordant diagnosis and treatment. Results Of the 1828 patients we studied, 48.1% underwent GCD, and 70.1% underwent GCT. The proportions of patients who underwent both GCD and GCT, GCD alone, GCT alone and neither GCD nor GCT were 36.7%, 11.4%, 33.5% and 18.4%, respectively. Patients in advanced stage and non-oncology hospitals were significantly less likely to undergo GCD and GCT. Compared with those who underwent neither GCD nor GCT, patients who underwent both GCD and GCT, GCD alone and GCT alone had 35.2%, 26.7% and 35.7% higher 3-year survival rates; the adjusted lung cancer mortality risk significantly decreased by 29% (adjusted hazard ratio[aHR], 0.71; 95% CI, 0.53-0.95), 29% (aHR, 0.71; 95% CI, 0.50-1.00) and 32% (aHR, 0.68; 95% CI, 0.51-0.90). Conclusion The 3-year risk of death is expected to be reduced by 29% if patients with NSCLC undergo both GCD and GCT. There is a need to establish an oncology diagnosis and treatment data management platform in China to monitor, evaluate, and promote the use of clinical practice guidelines in healthcare settings.
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Affiliation(s)
- Huijuan Mu
- Institute of Preventive Medicine, China Medical University, Shenyang, China
- Institute of Chronic Diseases, Liaoning Provincial Center for Disease Control and Prevention, Shenyang, China
| | - Xing Yang
- Institute of Preventive Medicine, China Medical University, Shenyang, China
- Research Center for Universal Health, School of Public Health, China Medical University, Shenyang, China
| | - Yanxia Li
- Institute of Chronic Diseases, Liaoning Provincial Center for Disease Control and Prevention, Shenyang, China
| | - Bingzheng Zhou
- Research Center for Universal Health, School of Public Health, China Medical University, Shenyang, China
- Department of Orthopaedic Surgery and Sports Medicine, Shengjing Hospital of China Medical University, Shenyang, China
| | - Li Liu
- Institute of Preventive Medicine, China Medical University, Shenyang, China
- Institute of Chronic Diseases, Liaoning Provincial Center for Disease Control and Prevention, Shenyang, China
| | - Minmin Zhang
- Institute of Preventive Medicine, China Medical University, Shenyang, China
- Research Center for Universal Health, School of Public Health, China Medical University, Shenyang, China
| | - Qihao Wang
- Institute of Preventive Medicine, China Medical University, Shenyang, China
- Research Center for Universal Health, School of Public Health, China Medical University, Shenyang, China
| | - Qian Chen
- Institute of Preventive Medicine, China Medical University, Shenyang, China
- Research Center for Universal Health, School of Public Health, China Medical University, Shenyang, China
| | - Lingjun Yan
- Institute of Preventive Medicine, China Medical University, Shenyang, China
- Research Center for Universal Health, School of Public Health, China Medical University, Shenyang, China
| | - Wei Sun
- Institute of Preventive Medicine, China Medical University, Shenyang, China
- Research Center for Universal Health, School of Public Health, China Medical University, Shenyang, China
| | - Guowei Pan
- Institute of Preventive Medicine, China Medical University, Shenyang, China
- Research Center for Universal Health, School of Public Health, China Medical University, Shenyang, China
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Shang L, Lin Y, Fang W, Liu Y, Bao Y, Li X, Zhang Y. How National Health Insurance Coverage Policy Affected the Use of Trastuzumab and Rituximab in China: A Bicentric Retrospective Study. Risk Manag Healthc Policy 2023; 16:1739-1753. [PMID: 37692767 PMCID: PMC10488736 DOI: 10.2147/rmhp.s420899] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Accepted: 09/01/2023] [Indexed: 09/12/2023] Open
Abstract
Background Cancer is a significant health concern and is China's leading cause of mortality. Targeted therapies, such as trastuzumab and rituximab, have enhanced clinical treatment efficacy. However, their high costs burden patients and healthcare systems considerably. Patient demographic factors further influence the utilization of these expensive drugs. On September 1, 2017, China implemented the National Health Insurance Coverage (NHIC) policy, necessitating additional real-world evidence to assess its impact on patients. Methods Data on human epidermal growth factor receptor 2-positive breast cancer and CD20-positive non-Hodgkin B-cell lymphoma patients were gathered in Jiangsu Cancer Hospital and Fujian Cancer Hospital from September 2015 to August 2019, including demographic and clinical information. All eligible patients were divided into two groups. Univariate analysis and multivariable logistic regression were used to investigate the differences between subgroups. An interrupted time-series regression was used to examine the change in trastuzumab and rituximab utilization percentages. Results Before and after the NHIC policy, utilization of trastuzumab increased from 61.13% to 75.10%, and the increase was statistically significant. Rituximab therapy increased statistically significantly from 64.79% to 74.88%. The key factor influencing trastuzumab and rituximab use was the NHIC policy. With policy implementation, medical insurance status, occupations, and cancer disease stage affected trastuzumab and rituximab use. Conclusion The NHIC policy is essential to the utilization of trastuzumab and rituximab, and the patient's income level and repayment abilities continue to impact the use of innovative anti-cancer drugs. Appropriate steps, such as reducing the urban-rural gap and broadening medical insurance coverage, would enable more people to access novel anti-cancer drugs.
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Affiliation(s)
- Linlin Shang
- Department of Clinical Pharmacy, School of Pharmacy, Nanjing Medical University, Nanjing, People’s Republic of China
| | - Yingtao Lin
- Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, People’s Republic of China
| | - Wenqing Fang
- Department of Medical Ethics Supervision, The First Affiliated Hospital of Soochow University, Suzhou, People’s Republic of China
| | - Yanyan Liu
- Department of Health Policy, School of Health Policy and Management, Nanjing Medical University, Nanjing, People’s Republic of China
| | - Yuwen Bao
- Department of Health Policy, School of Health Policy and Management, Nanjing Medical University, Nanjing, People’s Republic of China
| | - Xin Li
- Department of Clinical Pharmacy, School of Pharmacy, Nanjing Medical University, Nanjing, People’s Republic of China
- Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, People’s Republic of China
- Department of Health Policy, School of Health Policy and Management, Nanjing Medical University, Nanjing, People’s Republic of China
| | - Yuanyuan Zhang
- Department of Pharmacy, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, People’s Republic of China
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