Evidence mapPaperPMID 35948906Full record

ArticleBMC endocrine disorders2022

Changes in the prevalence of hyperuricemia in clients of health examination in Eastern China, 2009 to 2019.

Dunmin She, Yongliang Wang, Jing Liu, Na Luo, Shangyong Feng, Ying Li, Jin Xu, Shichun Xie, Yan Zhu, Ying Xue and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC endocrine disorders, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
4.2field-weighted citation impact, top 5% 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

23 citing papers in PubMed, 31 citations in OpenAlex.

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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 4 institutions in 1 country.

Dunmin She *Clinical Medical College, Yangzhou University, Yangzhou, 225001, Jiangsu, China.
Yongliang Wang *Clinical Medical College, Yangzhou University, Yangzhou, 225001, Jiangsu, China.
Jing LiuDalian Medical University, Dalian, 116000, Liaoning, China.
Na LuoClinical Medical College, Yangzhou University, Yangzhou, 225001, Jiangsu, China.
Shangyong FengClinical Medical College, Yangzhou University, Yangzhou, 225001, Jiangsu, China.
Ying LiClinical Medical College, Yangzhou University, Yangzhou, 225001, Jiangsu, China.
Jin XuDepartment of Information Center, Northern Jiangsu People's Hospital Affiliated to Yangzhou University, Yangzhou, 225001, Jiangsu, China.
Shichun XieDepartment of Information Center, Northern Jiangsu People's Hospital Affiliated to Yangzhou University, Yangzhou, 225001, Jiangsu, China.
Yan ZhuClinical Medical College, Yangzhou University, Yangzhou, 225001, Jiangsu, China.
Ying XueDepartment of Endocrinology and Metabolism, Tongji Hospital, School of Medicine, Tongji University, Shanghai, 200065, China. doxy0622@163.com.
Zhenwen ZhangClinical Medical College, Yangzhou University, Yangzhou, 225001, Jiangsu, China. yzzzw@medmail.com.cn.
Northern Jiangsu People's Hospital · CNYangzhou University · CNDalian Medical University · CNTongji University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWith the continuous improvement of people's living standards, the incidence of hyperuricemia (HUA) is increasing globally. The prevalence of HUA ranged in terms of region, race, and age. This study aims to investigate the changes in the prevalence of HUA in clients of health examination in Eastern China between 2009 and 2019.

methodsChinese men and women aged 20-79 years (n = 4847 in the 2009 group and n = 12,188 in 2019 group) who had received health examinations were enrolled. Serum uric acid (UA) levels and biochemical parameters, including fasting blood-glucose (FBG), triglyceride (TG), total cholesterol (CHOL), high-density lipoprotein (HDL), low-density lipoprotein (LDL), creatinine (Cr) and blood urea nitrogen (BUN) were evaluated. The prevalence of HUA in different age groups were measured, and the correlation of biochemical parameters with HUA were analyzed.

resultsThe prevalence of HUA was 18.7% in the 2019 group, which was significantly higher than that in 2009 (11.1%). In females, the prevalence of HUA was significantly higher in 2019 than 2009 for age groups of 20-29 and 30-39 years. In male population, 2019 participants had significantly higher age-specific prevalence for all age groups than 2009 participants. Young men aged 20-29 years became the main population of HUA in the 2019 participants, whereas middle-aged men aged 40-49 years had the highest prevalence of HUA in the 2009 participants. The prevalence rates of HUA in all BMI groups in 2019 participants were significantly higher than those in 2009 participants. Spearmen's correlation analysis and Logistic regression analysis indicated that BMI was positively correlated with HUA. The receiver-operating characteristic curve (ROC) analysis showed BMI > 24.48 kg/m2 and BMI > 23.84 kg/m2 displayed good capacities to discriminate the population with HUA from those without HUA in 2009 and 2019 participants, respectively.

conclusionsIn recent 10 years, the prevalence of HUA was increased rapidly in Chinese adults, especially in males. In 2019, the young male group (20-29 years old) replaced the middle-aged male group (40-49 years old) in 2009 as the leading age group for male HUA. BMI was positively correlated with HUA, and might be a potential risk factors to predict HUA.

Indexed as

HyperuricemiaAdultChinaFemaleHumansMaleMiddle AgedPrevalenceRisk FactorsTriglyceridesUric AcidYoung AdultTriglyceridesUric AcidAgeBody mass indexHyperuricemiaPrevalenceSerum uric acid level

Identifiers

PMID35948906
PMCPMC9364534
OpenAlexW4291021157

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.