Evidence map›Paper›PMID 35342699›Full record

ArticleGlobal heart2022

Hyperuricemia is Related to the Risk of Cardiovascular Diseases in Ethnic Chinese Elderly Women.

Leilei Liu, Xiao Zhang, Lian Peng, Nana Ma, Tingting Yang, Chan Nie, Linyuan Zhang, Zixuan Xu, Jun Yang, Xuejie Tang and 3 more

Open access · goldAbstract read
In one paragraph

Article in Global heart, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.3field-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

10 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Review
  8. Article
  9. Review
  10. 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

13 authors at 4 institutions in 2 countries.

Leilei LiuSchool of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang 550025, China.ORCID 0000-0003-4614-8695
Xiao ZhangSchool of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang 550025, China.ORCID 0000-0002-0829-3229
Lian PengSchool of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang 550025, China.ORCID 0000-0003-0420-0678
Nana MaSchool of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang 550025, China.ORCID 0000-0003-1844-6812
Tingting YangSchool of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang 550025, China.ORCID 0000-0001-8864-828X
Chan NieSchool of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang 550025, China.ORCID 0000-0003-3311-1527
Linyuan ZhangSchool of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang 550025, China.ORCID 0000-0001-5532-7674
Zixuan XuSchool of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang 550025, China.ORCID 0000-0002-3335-4230
Jun YangGuiyang Center for Diseases Control and Prevention, Guiyang 550003, China.ORCID 0000-0002-0846-7778
Xuejie TangThe Higher Education Mega Center Hospital, Guizhou Medical University, Guiyang 550025, China.ORCID 0000-0002-6745-7107
Liubo ZhengGuizhou Provincial People's Hospital, Guiyang 550002, China.ORCID 0000-0002-7597-8535
Tao ZhangGuiyang Public Health Clinical Center, Guiyang 550004, China.ORCID 0000-0002-9714-6481
Feng HongSchool of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang 550025, China.ORCID 0000-0002-6329-5331
Guiyang Medical University · CNGuiyang University · CNGuizhou Provincial People's Hospital · CNShanghai Public Health Clinical Center · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The association between hyperuricemia (HUA) and cardiovascular diseases (CVDs) is not fully elucidated. Objective: To assess the relationship according to factors of sex and age in the Chinese ethnic groups. Methods: We performed a population-based cross-sectional study in a multi-ethnic population from southwestern China. HUA patients were identified by serum uric acid ≥7 mg/dL in men and 6 mg/dL in women. The outcome was composite prevalent CVDs, including coronary heart disease (CHD), stroke, and arrhythmia. Multivariate logistic regression analysis, estimating odds ratio (ORs) and 95% confidence intervals (CIs), were applied to evaluate the HUA-CVDs relationship. Results: We included 16,618 people (37.48% Dong, 30.00% Miao, and 32.52% Bouyei) aged 30-79 years without a reduced estimated glomerular filtration rate <60 mL/min/1.73 m Conclusions: HUA may be related to an increased risk of CVDs among women in the Dong and Bouyei ethnic groups in China, especially women aged > 50 years.

Indexed as

Cardiovascular DiseasesHyperuricemiaStrokeAdultAgedChinaCross-Sectional StudiesEthnicityFemaleHumansMaleMiddle AgedRisk FactorsUric AcidUric AcidCardiovascular DiseasesElderlyEthnic DifferenceHyperuricemiaWomen

Identifiers

PMID35342699
PMCPMC8877644
OpenAlexW4213145297

What OpenQuestion 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 OpenQuestion graph.