Evidence map›Paper›PMID 42175505›Full record

ArticleMedicine2026

A real-world pharmacovigilance study of four anti-non-small cell lung cancer drugs using the WHO-VigiAccess database.

Chunyue Fang, Junzhu Wu, Chouqi Hu, Qirong Liu, Weijie Ma, Ling Zhang, Peng Hua, Yuzhen Ding, Yuanyuan Zhong

Abstract read
In one paragraph

Article in Medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Chunyue FangCollege of Pharmacy, Dali University, Dali, Yunnan, China.
Junzhu WuCollege of Pharmacy, Dali University, Dali, Yunnan, China.
Chouqi HuCollege of Pharmacy, Dali University, Dali, Yunnan, China.
Qirong LiuCollege of Pharmacy, Dali University, Dali, Yunnan, China.
Weijie MaCollege of Pharmacy, Dali University, Dali, Yunnan, China.
Ling ZhangDepartment of Pharmacy, The Third People's Hospital of Yunnan Province, Kunming, Yunnan, China.
Peng HuaDepartment of Pharmacy, The Third People's Hospital of Yunnan Province, Kunming, Yunnan, China.
Yuzhen DingDepartment of Pharmacy, Jinyun County People's Hospital, Jinyun, Zhejiang, China.
Yuanyuan ZhongDepartment of Pharmacy, The Third People's Hospital of Yunnan Province, Kunming, Yunnan, China.ORCID 0000-0003-2601-7030

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The efficacy of anlotinib, gefitinib, afatinib, and osimertinib in the treatment of non-small cell lung cancer is well established, but there are gaps in the safety evidence. This study used real-world data from the World Health Organization-VigiAccess database to evaluate the post-marketing adverse drug reactions (ADRs) of these 4 drugs. ADRs data for anlotinib, gefitinib, afatinib, and osimertinib were collected from the VigiAccess database up to April 30, 2025. To identify and analyze potential ADR signals, the study employed the reporting odds ratio, proportional reporting ratio, multi-item gamma Poisson shrinker, and Bayesian confidence propagation neural network methods. A total of 52,978 adverse event reports were collected for 4 medications, comprising 1642 reports for anlotinib, 10,294 for gefitinib, 12,493 for afatinib, and 28,549 for osimertinib. In the system organ class, all these 4 drugs are generally associated with skin and subcutaneous tissue disorders and gastrointestinal disorders. However, the focus of these 4 drugs varies. In the preferred term classification for specific symptoms, some adverse reactions have high frequency and strong signal intensity rankings, and others have high frequency but not particularly prominent signal intensity. The adverse reactions of anlotinib, gefitinib, afatinib, and osimertinib share certain commonalities and characteristics, which are basically consistent with those described in the drug labels. However, there are also some specific ADRs. Clinically, personalized medication can be carried out based on the characteristics of the drugs and the patient's condition.

Indexed as

AcrylamidesAfatinibAniline CompoundsAntineoplastic AgentsCarcinoma, Non-Small-Cell LungGefitinibLung NeoplasmsPharmacovigilanceQuinolinesAdverse Drug Reaction Reporting SystemsDatabases, FactualHumansIndolesPyrimidinesWorld Health OrganizationAcrylamidesAfatinibAniline CompoundsanlotinibAntineoplastic AgentsGefitinibIndolesosimertinibPyrimidinesQuinolinesadverse reactionafatinibanlotinibgefitinibosimertinibreal-world drug researchtyrosine kinase inhibitors

Identifiers

PMID42175505
PMCPMC13200933

What Socratic holds

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Registered trials

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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 Socratic graph.