Evidence map›Paper›PMID 41282618›Full record

ArticleFrontiers in pharmacology2025

A retrospective analysis of small molecule targeting inhibitor usage for lung cancer among outpatients in six major regions of China (2016-2022).

Bo Chen, Chen Wang, Li-Ying Chen, Yan Hu, Yu-Zhen Wang, Liu-Cheng Li, Kai-Li Mao, Qiu Jiang

Abstract read
In one paragraph

Article in Frontiers in pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Bo ChenDepartment of Pharmacy, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
Chen WangDepartment of Pharmacy, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
Li-Ying ChenDepartment of Pharmacy, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
Yan HuDepartment of Pharmacy, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
Yu-Zhen WangDepartment of Pharmacy, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
Liu-Cheng LiDepartment of Pharmacy, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
Kai-Li MaoDepartment of Pharmacy, The Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou People's Hospital, Quzhou, Zhejiang, China.
Qiu JiangDepartment of Pharmacy, The Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou People's Hospital, Quzhou, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to evaluate national trends in amounts, prescription volumes, and the rationality of drug use in pharmacoeconomics associated with small molecule targeting inhibitors for lung cancer treatment among adult patients in China from 2016 to 2022. Methods: Prescription data for outpatients diagnosed with lung cancer were extracted from the Hospital Prescription Analysis Cooperative Project database, covering hospitals across six major regions of 77 hospitals. Annual trends in prescription volumes and associated expenditures were analyzed. Additionally, pharmacoeconomic indicators related to small molecule targeting inhibitors were assessed to evaluate cost-effectiveness and utilization patterns. Demographic profiles, regional sources of patients, and classification of small molecule targeting inhibitors were examined. Results: Prescription volumes and amounts for small molecule targeting inhibitors in lung cancer treatment have increased annually. Since 2020, expenditure levels have stabilized. Furthermore, their use is supported by pharmacoeconomic evidence indicating rational and efficient medication utilization. There was a statistically significant increase in total prescriptions (P Conclusion: Between 2016 and 2022, the prescription volume of small molecule targeted inhibitors for lung cancer rose yearly, showing their expanding clinical use. Since 2020, despite continued growth in prescriptions, drug costs have stabilized or slightly decreased. This reflects that China's medical insurance negotiation and centralized procurement policies have effectively reduced patients' economic burden without limiting their access to these inhibitors. Pharmacoeconomic indicators also confirm that the use of these drugs has been both reasonable and efficient, allowing for increased drug utilization while reducing patients' financial strain.

Indexed as

lung canceroutpatient prescription trendspharmacoeconomicssmall molecule targeting inhibitorstargeted therapy

Identifiers

PMID41282618
PMCPMC12635437

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.