Evidence mapPaperPMID 42440762Full record

ArticleFrontiers in psychiatry2026

Post-marketing safety of lecanemab: a real-world study based on FAERS database, multicenter cohort and network pharmacology.

Xiaoxuan Xing, Ke Wang, Yingnan Feng, Chao Wu, Lihua Jia, Huiying Li, Zhiyong Wen, Yinan Tang, Zhizhou Wang, Xiaotong Zhang and 4 more

Abstract read
In one paragraph

Article in Frontiers in psychiatry, 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

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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

14 authors.

Xiaoxuan Xing *Department of Pharmacy, Xuanwu Hospital of Capital Medical University, Beijing, China.
Ke Wang *Department of Pharmacy, Xuanwu Hospital of Capital Medical University, Beijing, China.
Yingnan Feng *Department of Pharmacy, Xuanwu Hospital of Capital Medical University, Beijing, China.
Chao Wu *Department of Pharmacy, Xuanwu Hospital of Capital Medical University, Beijing, China.
Lihua JiaDepartment of Pharmacy, Peking University International Hospital, Beijing, China.
Huiying LiDepartment of Neurology, Beijing United Family Hospital, Beijing, China.
Zhiyong WenDepartment of Pharmacy, Zhuhai People's Hospital (The Affiliated Hospital of Beijing Institute of Technology, Zhuhai Clinical Medical College of Jinan University), Zhuhai, China.
Yinan TangDepartment of Pharmacy, China-Japan Friendship Hospital, Beijing, China.
Zhizhou WangDepartment of Pharmacy, Xuanwu Hospital of Capital Medical University, Beijing, China.
Xiaotong ZhangDepartment of Pharmacy, Xuanwu Hospital of Capital Medical University, Beijing, China.
Xiaoxi LiDepartment of Pharmacy, Xuanwu Hospital of Capital Medical University, Beijing, China.
Yiming HuaDepartment of Pharmacy, Xuanwu Hospital of Capital Medical University, Beijing, China.
Lan ZhangDepartment of Pharmacy, Xuanwu Hospital of Capital Medical University, Beijing, China.
Xianzhe DongDepartment of Pharmacy, Xuanwu Hospital of Capital Medical University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Lecanemab is a monoclonal antibody targeting amyloid-beta (Aβ) approved for treating Alzheimer's disease (AD) with mild cognitive impairment or mild dementia. Continuous monitoring of its real-world safety profile remains essential. This study aimed to analyze lecanemab-related adverse events (AEs) using the FDA Adverse Event Reporting System (FAERS) database and a multicenter cohort, and explored mechanisms via network pharmacology. Methods: We conducted an updated disproportionality analysis of FAERS data from 2023 to 2024 to identify disproportionate reporting signals (SDRs). A multicenter retrospective cohort study was performed, including lecanemab users from June 2024 to February 2025. Data were collected from electronic medical records of five tertiary hospitals. AEs were identified and influencing factors of AE occurrence were analyzed. Additionally, a drug-gene interaction network was constructed to explore potential mechanisms. Results: In the FAERS analysis of 2,764 AEs from 1,389 lecanemab users, 12 of 41 positive SDRs were prioritized, with 75% (9/12) being nervous system disorders, primarily amyloid-related imaging abnormalities (ARIA). In the cohort study, 29.05% (43/148) of patients experienced AEs, with infusion-related reactions being most common. Age was identified as a risk factor for AE occurrence [OR (95% CI): 1.109 (1.011-1.215), P = 0.028], while pre-treatment significantly reduced AE incidence. Gene enrichment analysis suggested potential links between lecanemab-related genes and AEs. Discussion: This study provides real-world evidence on the risk profile of lecanemab, highlighting the importance of continued safety monitoring. These findings may inform discussions about the risks associated with anti-amyloid treatments and warrant further confirmation in large-scale prospective studies.

Indexed as

adverse eventsAlzheimer’s diseaseARIAFAERSlecanemabnetwork pharmacologypharmacovigilancereal-world study

Identifiers

PMID42440762
PMCPMC13333610

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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.