Evidence map›Paper›PMID 36672567›Full record

ArticleBiomedicines2022

Atrial Fibrillation Risk and Urate-Lowering Therapy in Patients with Gout: A Cohort Study Using a Clinical Database.

Ching-Han Liu, Shih-Chung Huang, Chun-Hao Yin, Wei-Chun Huang, Jin-Shuen Chen, Yao-Shen Chen, Su-Ting Gan, Shiow-Jyu Tzou, Ching-Tsai Hsu, Hao-Ming Wu and 1 more

Open access · goldAbstract read
In one paragraph

Article in Biomedicines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 22% of its field
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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Progress of uric acid in cardiovascular disease.Cardiovascular endocrinology & metabolism · 2024
    Review
  8. Article
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

11 authors at 6 institutions in 2 countries.

Ching-Han LiuDivision of Cardiology, Department of Medicine, Kaohsiung Armed Forces General Hospital, Kaohsiung 80284, Taiwan.ORCID 0000-0002-8672-4274
Shih-Chung HuangDivision of Cardiology, Department of Medicine, Kaohsiung Armed Forces General Hospital, Kaohsiung 80284, Taiwan.
Chun-Hao YinDepartment of Medical Education and Research, Kaohsiung Veterans General Hospital, Kaohsiung 81362, Taiwan.
Wei-Chun HuangDepartment of Critical Care Medicine, Kaohsiung Veterans General Hospital, Kaohsiung 81362, Taiwan.
Jin-Shuen ChenDepartment of Administration, Kaohsiung Veterans General Hospital, Kaohsiung 81362, Taiwan.
Yao-Shen ChenDepartment of Administration, Kaohsiung Veterans General Hospital, Kaohsiung 81362, Taiwan.
Su-Ting GanInstitute of Clinical Medicine, College of Medicine, National Cheng Kung University, Tainan 70101, Taiwan.ORCID 0000-0002-1592-0470
Shiow-Jyu TzouInstitute of Medical Science and Technology, National Sun Yat-Sen University, Kaohsiung 80424, Taiwan.
Ching-Tsai HsuDivision of Cardiology, Department of Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei 11490, Taiwan.
Hao-Ming WuDivision of Cardiology, Department of Medicine, Kaohsiung Armed Forces General Hospital, Kaohsiung 80284, Taiwan.
Wen-Hwa WangDepartment of Internal Medicine, Division of Cardiology, Kaohsiung Veterans General Hospital, Kaohsiung 81362, Taiwan.
Kaohsiung Veterans General Hospital · TWTri-Service General Hospital · TWNational Sun Yat-sen University · TWKaohsiung Armed Forces General Hospital · TWNational Cheng Kung University · TWRoyal Brompton & Harefield NHS Foundation Trust · GB

Funding

Kaohsiung Veterans General Hospital KSVGH 110-D01-1Ministry of Science and Technology MOST 111-2314-B-393-002
6 · The paper itself

Abstract

Individuals of Asian descent are at higher risk for developing hyperuricemia and gout as compared to Western populations. Urate-lowering therapy (ULT) is an effective treatment for hyperuricemia and gout. It was reported that febuxostat, one of the ULTs, raises the risk of atrial fibrillation (AF) in elderly populations. Nevertheless, this association has not been properly investigated in Asian populations. We aimed to investigate the development of AF after ULT with different drugs in an Asian population. We conducted a retrospective cohort study using the clinical database at Kaohsiung Veterans General Hospital. Patients newly diagnosed with gout between 1 January 2013 and 31 December 2020 and with a documented baseline serum uric acid (sUA) level but no prior diagnosis of AF were identified. Patients were divided into three groups-allopurinol, benzbromarone, and febuxostat users. During the follow-up period, the risks of incident AF following the initiation of ULT with different drugs were assessed. Development of incident AF was noted in 43 (6%) of the 713 eligible patients during the follow-up period (mean, 49.4 ± 26.6 months). Febuxostat-treated patients had a higher prevalence of certain comorbidities (diabetes mellitus, heart failure, and chronic kidney disease) and higher CHA2DS2-VASc scores. Compared with allopurinol, neither febuxostat nor benzbromarone was associated with increased adjusted hazard ratios (HR) for incident AF (HR: 1.20, 95% confidence interval [CI]: 0.43-3.34; HR: 0.68, 95% CI: 0.22-2.08). There was no difference in the risk of incident AF among Asian patients with gout who received febuxostat, allopurinol, or benzbromarone. Further studies are needed to evaluate long-term cardiovascular outcomes in patients receiving different ULT drugs.

Indexed as

allopurinolfebuxostatgoutincident atrial fibrillationurate-lowering therapy

Identifiers

PMID36672567
PMCPMC9855783
OpenAlexW4313246950

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.