Evidence map›Paper›PMID 31147367›Full record

Trial reportBMJ open2019

High prevalence of hyperuricaemia and its impact on non-valvular atrial fibrillation: the cross-sectional Guangzhou (China) Heart Study.

Wei-Dong Lin, Hai Deng, Pi Guo, Fang-Zhou Liu, Ru-Yin Chen, Xian-Hong Fang, Xian-Zhang Zhan, Hong-Tao Liao, Wen-Xiang Huang, Yang Liu and 7 more

Open access · goldAbstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.8field-weighted citation impact, top 16% 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

14 citing papers in PubMed, 22 citations in OpenAlex.

  1. Observational
  2. Article
  3. Progress of uric acid in cardiovascular disease.Cardiovascular endocrinology & metabolism · 2024
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Review
  12. Review
  13. Review
  14. 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

17 authors at 5 institutions in 1 country.

Wei-Dong Lin *Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial Peoples Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
Hai Deng *Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial Peoples Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
Pi GuoDepartment of Preventive Medicine, Shantou University Medical College, Shantou, China.
Fang-Zhou LiuDepartment of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial Peoples Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
Ru-Yin ChenDepartment of Preventive Medicine, Shantou University Medical College, Shantou, China.
Xian-Hong FangDepartment of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial Peoples Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
Xian-Zhang ZhanDepartment of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial Peoples Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
Hong-Tao LiaoDepartment of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial Peoples Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
Wen-Xiang HuangDepartment of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial Peoples Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
Yang LiuDepartment of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial Peoples Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
Feng WangDepartment of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial Peoples Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
Mu-Rui ZhengGuangzhou Center for Disease Control and Prevention, Guangzhou, China.
Hua-Zhang LiuGuangzhou Center for Disease Control and Prevention, Guangzhou, China.
Jun HuangDepartment of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial Peoples Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
Wei WeiDepartment of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial Peoples Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
Yu-Mei XueDepartment of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial Peoples Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
Shu-Lin WuDepartment of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial Peoples Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
Guangdong Academy of Medical Sciences · CNGuangdong Provincial People's Hospital · CNGuangzhou Center for Disease Control and Prevention · CNShantou University · CNShantou University Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThere are country and regional variations in the prevalence of hyperuricaemia (HUA). The prevalence of HUA and non-valvular atrial fibrillation (NVAF) in southern China is unknown.

designA cross-sectional study. SETTING AND

participantsA total of 11 488 permanent residents aged 35 or older from urban and rural areas of Guangzhou, China were enrolled. A questionnaire was used to compile each participant's demographic information and relevant epidemiological factors for HUA and NVAF. All participants were assessed using a panel of blood tests and single-lead 24-hour ECG.

main outcome measuresHUA was defined as serum uric acid level >420 μmol/L in men and >360 μmol/L in women. NVAF was diagnosed as per guidelines.

resultsThe prevalence of HUA was 39.6% (44.8% in men and 36.7% in women), and 144 residents (1.25%) had NVAF. Prevalence of HUA increased with age in women but remained stably high in men. After adjusting for potential confounders, age, living in urban areas, alcohol consumption, central obesity, elevated fasting plasma glucose level, elevated blood pressure, lower high-density lipoprotein cholesterol level and elevated triglycerides level were associated with increased risk of HUA. Residents with HUA were at higher risk for NVAF. Serum uric acid level had a modest predictive value for NVAF in women but not men.

conclusionsHUA was highly prevalent among citizens of southern China and was a predictor of NVAF among women.

Indexed as

Age DistributionAtrial FibrillationChinaCluster AnalysisCross-Sectional StudiesFemaleHumansHyperuricemiaMaleMiddle AgedPrevalenceRisk FactorsRural HealthSex DistributionUrban Healthcardiac epidemiologycardiologyepidemiology

Identifiers

PMID31147367
PMCPMC6549638
OpenAlexW2947204763

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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 OpenQuestion graph.