Evidence mapPaperPMID 42488563Full record

ArticleFrontiers in pharmacology2026

Pharmacovigilance assessment of gout: a real-world study using the FAERS database.

Honghao Ren, Nannan Yao, Xiaodong Ren, Yani Su, Hongjun Yao, Jing Hu, Pengfei Wen, Ming Zhang, Peng Xu, Weikun Hou and 2 more

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

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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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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

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Honghao Ren *Department of Joint Surgery, HongHui Hospital, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Nannan Yao *Department of Joint Surgery, HongHui Hospital, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Xiaodong Ren *Department of Joint Surgery, HongHui Hospital, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Yani SuDepartment of Radiotherapy, Tangdu Hospital, The Fourth Military Medical University, Xi'an, Shaanxi, China.
Hongjun YaoDepartment of Radiotherapy, Tangdu Hospital, The Fourth Military Medical University, Xi'an, Shaanxi, China.
Jing HuDepartment of Radiotherapy, Tangdu Hospital, The Fourth Military Medical University, Xi'an, Shaanxi, China.
Pengfei WenDepartment of Joint Surgery, HongHui Hospital, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Ming ZhangDepartment of General Practice, Honghui Hospital, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Peng XuDepartment of Joint Surgery, HongHui Hospital, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Weikun HouDepartment of Joint Surgery, HongHui Hospital, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Zhi YangDepartment of Joint Surgery, HongHui Hospital, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Mingyi YangDepartment of Joint Surgery, HongHui Hospital, Xi'an Jiaotong University, Xi'an, Shaanxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Drug intervention is a key method for preventing gout, various drugs have been implicated as potential risk factors in individual studies. This study aims to comprehensively identify drugs linked to the development of gout. Methods: Data were obtained from the FDA Adverse Event Reporting System (FAERS), and disproportionality analysis was employed to quantitatively assess the associations between drugs and gout. Four complementary signal detection methods-Reporting Odds Ratio (ROR), Proportional Reporting Ratio (PRR), Bayesian Confidence Propagation Neural Network (BCPNN), and Multi-item Gamma Poisson Shrinker (MGPS)-were utilized. To further delineate exposure-outcome relationships and identify influential predictors, least absolute shrinkage and selection operator (LASSO) logistic regression was implemented. Time-to-onset (TTO) analysis was conducted to examine the temporal dynamics between drug initiation and the occurrence of gout. Finally, a comprehensive assessment of the therapeutic indications of the drugs was performed. Results: A total of 35 drugs were ultimately identified as potentially associated with the onset and progression of gout. Among these, several agents have been previously reported in the literature as having possible links to gout development. In addition, a number of novel candidates were detected for which evidence of an association with gout remains limited or has not been clearly established. These include Lenalidomide, Sacubitril valsartan, Ruxolitinib, Treprostinil, Octreotide, Selexipag, Rosuvastatin, Sitagliptin, Riociguat, Epoprostenol, Patiromer, Dasabuvir ombitasvir paritaprevir ritonavir, Tafamidis, Sparsentan, and Iloprost. Furthermore, TTO analysis suggested that approximately 75% of gout events occurred within 0.6 years following initiation of therapy. These pharmacotherapeutic agents are employed across diverse clinical settings, encompassing haematological malignancies, cardiovascular diseases, and pulmonary hypertension. Conclusion: These findings suggest the potential for targeted monitoring of drug-associated gout in clinical practice. When administering these medications, it may be crucial to regularly assess patients' uric acid levels and maintain heightened awareness for the possible onset of gout.

Indexed as

disproportionality analysisFAERSgoutpharmacovigilancereal-world study

Identifiers

PMID42488563
PMCPMC13388262

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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.