Evidence map›Paper›PMID 30826766›Full record

Observational studyBMJ open2019

Relationship between serum uric acid and clustering of cardiovascular disease risk factors and renal disorders among Shanghai population: a multicentre and cross-sectional study.

Min Tao, Xiaoling Pi, Xiaoyan Ma, Yingfeng Shi, Yuzhen Zhang, Hongwei Gu, Yongbin Chi, Shougang Zhuang, Na Liu

Open access · goldAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

16 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. 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

9 authors at 5 institutions in 2 countries.

Min Tao *Department of Nephrology, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China.
Xiaoling Pi *Department of Internal Medicine, Pudong New District Gongli Hospital, Shanghai, China.
Xiaoyan Ma *Department of Nephrology, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China.
Yingfeng ShiDepartment of Nephrology, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China.
Yuzhen ZhangKey Laboratory of Arrhythmias of the Ministry of Education of China, Research Center for Translational Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China.
Hongwei GuDepartment of Nephrology, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China.
Yongbin ChiDepartment of Medical Laboratory, Pudong New District Gongli Hospital, Shanghai, China.
Shougang ZhuangDepartment of Nephrology, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China.
Na LiuDepartment of Nephrology, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China.
Shanghai East Hospital · CNSecond Military Medical University · CNBrown University · USShanghai First People's Hospital · CNTongji University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo estimate the current prevalence of cardiovascular disease risk factors (CRFs) and renal disorders across serum uric acid (SUA) quartiles, and evaluate the relationships between SUA and CRFs and renal diseases in Shanghai population. STUDY

designObservational, cross-sectional study.

settingData were obtained from the physical check-up of local residents at three hospitals in Shanghai.

participantsResidents were invited to take part in a physical check-up and provided informed consent. Exclusion criteria were diseases that resemble cancer, hepatic disease, and other coexisting illnesses including autoimmune kidney diseases and renal artery stenosis, individuals treated with xanthine oxidase inhibitors, and those with incomplete information. There are 26 768 individuals in our study. PRIMARY AND SECONDARY OUTCOME MEASURES: Hyperuricaemia was defined as SUA ≥7 mg/dL in men and ≥6 mg/dL in women or taking xanthine oxidase inhibitors. Subjects were divided into gender-specific quartiles. We estimate the prevalence of CRFs and renal disorders across SUA quartiles. The relationships between SUA and CRFs and renal disorders in both genders were evaluated using logistic regression analysis.

resultsThere was a significant increase in the prevalence of major CRFs and renal diseases across SUA quartiles in a separate analysis among men and women (all p trend <0.001). After multiple adjustment, hyperuricaemia positively correlated with obesity (male OR=3.165, p<0.001; female OR=3.776, p<0.001), hypertension (male OR=1.341, p<0.001; female OR=1.289, p=0.006), dyslipidaemia (male OR=2.490, p<0.001; female OR=3.614, p<0.001), chronic kidney disease (male OR=7.081, p<0.001; female OR=11.571, p<0.001) and nephrolithiasis (male OR=1.469, p<0.001; female OR=1.242, p=0.041), but negatively correlated with diabetes mellitus (male OR=0.206, p<0.001; female OR=0.524, p<0.001). There was a stronger association between hyperuricaemia and clustered CRFs as well as chronic kidney disease in women than in men.

conclusionsIn Shanghai population, concomitant with the elevated level of SUA, the prevalence of CRFs and renal diseases was rising. Hyperuricaemia was significantly associated with CRFs and renal disorders, especially in women.

Indexed as

AdolescentAdultAgedAged, 80 and overCardiovascular DiseasesChinaCluster AnalysisCross-Sectional StudiesFemaleHumansKidney DiseasesMaleMiddle AgedRisk FactorsUric AcidYoung AdultUric Acidcardiovascular disease risk factorsrenal disordersserum uric acid

Identifiers

PMID30826766
PMCPMC6429858
OpenAlexW2920151556

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.