Evidence map›Paper›PMID 39286630›Full record

ArticleFrontiers in pharmacology2024

Antihypertensive drug-associated adverse events in osteoarthritis: a study of a large real-world sample based on the FAERS database.

Zijian Guo, Jingkai Di, Zhibo Zhang, Shuai Chen, Xingjia Mao, Zehua Wang, Zehui Yan, Xiaoke Li, Zui Tian, Changjiang Mu and 2 more

Abstract read
In one paragraph

Article in Frontiers in pharmacology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Unlocking Novel Therapeutic Potential of Angiotensin II Receptor Blockers.International journal of molecular sciences · 2025
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4 · The record

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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

12 authors.

Zijian Guo *Department of Orthopedic, The Second Hospital of Shanxi Medical University, Taiyuan, China.
Jingkai Di *Department of Orthopedic, The Second Hospital of Shanxi Medical University, Taiyuan, China.
Zhibo ZhangDepartment of Orthopedic, The Second Hospital of Shanxi Medical University, Taiyuan, China.
Shuai ChenDepartment of Orthopedic, The Second Hospital of Shanxi Medical University, Taiyuan, China.
Xingjia MaoDepartment of Basic Medicine Sciences, Department of Orthopaedics of Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Zehua WangDepartment of Orthopedic, The Second Hospital of Shanxi Medical University, Taiyuan, China.
Zehui YanDepartment of Orthopedic, The Second Hospital of Shanxi Medical University, Taiyuan, China.
Xiaoke LiDepartment of Orthopedic, The Second Hospital of Shanxi Medical University, Taiyuan, China.
Zui TianDepartment of Orthopedic, The Second Hospital of Shanxi Medical University, Taiyuan, China.
Changjiang MuDepartment of Orthopedic, The Second Hospital of Shanxi Medical University, Taiyuan, China.
Changxin XiangCollege of Biomedical Engineering, Taiyuan University of Technology, Taiyuan, China.
Chuan XiangDepartment of Orthopedic, The Second Hospital of Shanxi Medical University, Taiyuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Hypertension is a common complication in patients with osteoarthritis (OA). There is increasing interest in the relationship between hypertension and OA. However, hypertension has been reported to negatively affect symptoms and quality of life in patients with OA. Therefore, treating hypertension is crucial for patients with OA. However, there is a lack of real-world studies on the effects of medications for treating hypertension on OA. Methods: Data from the FAERS database from January 2004 to December 2023 were extracted for disproportionality analyses, and proportional reporting ratios (PRRs) were used to assess the association between medications for hypertension and all types of arthritis. Adverse event signals were identified and determined using reporting odds ratios (RORs) Adverse event signals were considered to have occurred if a drug-induced adverse event was recorded more than or equal to 3 and the lower limit of the ROR confidence interval was more than 1. We selected five classes of drugs including, calcium channel blockers (CCBs), angiotensin converting enzyme inhibitors (ACEIs), angiotensin receptor blockers (ARBs), thiazide diuretics and β-blockers and representative drugs were analysed for osteoarthritis-related adverse reactions, and age and gender subgroups were analysed for drugs of significance. We also analysed the occurrence of AEs in relation to time using the Weibull distribution. Results: In terms of overall data, we found significant OA adverse reaction signals only for ARBs among the five drug classes.ARB AEs for spinal osteoarthritis (ROR 4.64, 95% CI 3.62-5.94), osteoarthritis (ROR 3.24 95% CI 2.82-3.72) and gouty arthritis (ROR 3.27 95% CI 1.22-8.75) were the three adverse reactions with the loudest signals. Next, we found that valsartan had strong osteoarthritis adverse reaction signals among the three ARBs, namely, irbesartan, cloxartan, and valsartan. We also analysed age and gender subgroups and found that osteoarthritis signals were strongest in the 18-65 and 65+ population, while females seem to be more prone to valsartan-related OA AEs. Conclusion: ARBs, especially valsartan, have significant positive signals for OA AEs. Therefore, ARB drugs, especially valsartan, should be used with caution when treating patients with OA combined with hypertension.

Indexed as

FAERShypertensionosteoarthritispharmacovigilancevalsartan

Identifiers

PMID39286630
PMCPMC11402654

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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.