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Your search keyword '"Gu, Tianqi"' showing total 154 results
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154 results on '"Gu, Tianqi"'

1. Foreign Investment, Investment Treaties and Corruption in China and Hong Kong

Author

Bath, Vivienne, Gu, Tianqi, Jetin, Bruno, Editor-in-Chief, Carnegie, Paul J., Series Editor, Curaming, Rommel A., Series Editor, Formoso, Bernard, Series Editor, Mohd Daud, Kathrina, Series Editor, Kelley, Liam C., Series Editor, King, Victor T., Series Editor, Knudsen, Magne, Series Editor, Sin Yee, Koh, Series Editor, Lautier, Marc, Series Editor, Kwen Fee, Lian, Series Editor, Müller, Dominik M., Series Editor, Haji Hassan, Noor Hasharina, Series Editor, Rigg, Jonathan, Series Editor, Teramura, Nobumichi, editor, and Nottage, Luke, editor

Published
2024
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41. Adverse reactions associated with immune checkpoint inhibitors and bevacizumab: A pharmacovigilance analysis.

Author

Gu, Tianqi, Jiang, Aimin, Zhou, Chaozheng, Lin, Anqi, Cheng, Quan, Liu, Zaoqu, Zhang, Jian, and Luo, Peng

Subjects
IMMUNE checkpoint inhibitors, DRUG side effects, BEVACIZUMAB, IPILIMUMAB, NEOVASCULARIZATION inhibitors, INTERSTITIAL lung diseases, GASTROINTESTINAL hemorrhage, CANCER fatigue
Abstract

Immune checkpoint inhibitors (ICIs) combined with the anti‐angiogenesis drug bevacizumab is one of the future directions of immunotherapy. However, the potential adverse drug reactions (ADRs) caused by combination therapy remain unclear. Current research on ADRs of combination therapy in cancer patients is extremely limited. Our study aims to help determine the safety of combination therapy. We downloaded the ADR reports on combination therapy, from the first quarter of 2012 to the fourth quarter of 2021, from the FDA adverse event reporting system (FAERS) database and conducted a large‐scale retrospective study. The ADR signals were monitored by reporting odds ratio (ROR) and analyzing the risk of different ADRs in patients with Pan‐cancer. A total of 2094 cases were selected, after excluding duplicate data and the use of chemotherapy drugs. We evaluated the risk of ADR in Pan‐cancer patients. Combination therapy was an independent risk factor for adverse drug reactions associated with interstitial lung disease (OR: 8.62; 95% CI: 6.14‐12.10, P <.0001), hypertension (OR: 1.35; 95% CI: 1.11‐1.65, P <.01) and gastrointestinal bleeding (OR: 3.16; 95% CI: 2.21‐4.51, P <.0001). A subgroup analysis revealed that the risk of endocrine system‐related ADRs was elevated in patients receiving different combination therapies or with certain tumor types. We retrospectively studied the ADR of combination therapy in Pan‐cancer patients and analyzed the distribution characteristics of ADR from the perspectives of treatment strategy and cancer types to provide recommendations for the individualized management of patients receiving combination therapy. [ABSTRACT FROM AUTHOR]

Published
2023
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50. Modeling destination choice behavior incorporating spatial factors, individual sociodemographics, and travel mode

Author

Yang, Min, Wang, Wei, Chen, Xuewu, Xu, Renting, and Gu, Tianqi

Subjects
Travel -- China, Travel -- Management, Navigation -- Management, Company business management, Engineering and manufacturing industries, Science and technology, Transportation industry
Abstract

Destination choice studies have been primarily carried out in developed countries. However in China, a typical developing country, few studies about destination choice exist. In this paper, we propose nonlinear-in-parameters multinomial logit models to investigate the influences of spatial factors on both work and intermediate stop destination choices. We use individual sociodemographics, travel-activity attributes, and land-use characteristics as exogeneous variables. Individual's destination choice behaviors with different sociodemographics and travel modes are examined as well. The models are applied to data collected in the city of Shangyu, China. Compared with previous studies, this research further distinguishes the size variables influencing destination choices for work and intermediate stop in the type and the extent to which each type of size variables exerts influence. Besides, the preferences to destination choices are more clearly illustrated, resulting from the typical occupation characteristics and commuting modes of China. DOI: 10.1061/(ASCE)TE.1943-5436.0000140 CE Database subject headings: Travel modes; Models; Developed countries: China. Author keywords: Destination choice; Travel behavior: Spatial factors; Individual sociodemographics; Travel mode; Non-linear-inparameters multinomial logit model.

Published
2010

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