Evidence map›Paper›PMID 34531210›Full record

ArticleBMJ open2021

Prevalence and related factors of hyperuricaemia in Shanghai adult women of different ages: a multicentre and cross-sectional study.

Min Tao, Xiaoyan Ma, Xiaoling Pi, Yingfeng Shi, Lunxian Tang, Yan Hu, Hui Chen, Xun Zhou, Lin Du, Yongbin Chi and 2 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

4 citing papers in PubMed, 9 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

12 authors at 3 institutions in 2 countries.

Min Tao *Department of Nephrology, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China.
Xiaoyan Ma *Department of Nephrology, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China.
Xiaoling PiDepartment of Internal Medicine, Pudong New District Gongli Hospital, Shanghai, China.
Yingfeng ShiDepartment of Nephrology, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China.
Lunxian TangEmergency Department of Critical Care Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China.
Yan HuDepartment of Nephrology, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China.
Hui ChenDepartment of Nephrology, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China.
Xun ZhouDepartment of Nephrology, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China.
Lin DuDepartment 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 naliubrown@163.com.ORCID 0000-0001-5806-8209
Shanghai East Hospital · CNSecond Military Medical University · CNBrown University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWomen in different age phases have different metabolism and hormone levels that influence the production and excretion of uric acid. We aimed to investigate the prevalence and related factors of hyperuricaemia among women in various age phases. STUDY

designObservational, cross-sectional study.

settingData were obtained from women at three health check-up centres in Shanghai.

participantsAdult women from three health check-up centres were recruited. Exclusion criteria were individuals with pregnancy, cancer, incomplete information. Finally, 11 601 participants were enrolled.

resultsThe prevalence rates of hyperuricaemia of total subjects were 11.15% (95% CIs 10.57% to 11.72%). The prevalence of hyperuricaemia in 18-29, 30-39, 40-49, 50-59, 60-69 and ≥70 years old was 6.41% (95% CI 4.97% to 7.86%), 5.63% (4.71% to 6.55%), 6.02% (5.01%% to 7.03%), 11.51% (10.19% to 12.82%), 16.49% (15.03% to 17.95%) and 23.98% (21.56% to 26.40%), respectively. Compared with 18-29 years old, the ORs for hyperuricaemia in other age phases were 0.870 (95% CI 0.647 to 1.170, p=0.357), 0.935 (0.693 to 1.261, p=0.659), 1.898 (1.444 to 2.493, p<0.001), 2.882 (2.216 to 3.748, p<0.001) and 4.602 (3.497 to 6.056, p<0.001), respectively. During the 18-29 years old, the related factors for hyperuricaemia were obesity and dyslipidaemia. During the 30-59 years old, the related factors were obesity, dyslipidaemia, hypertension and chronic kidney disease (CKD). Over the 60 years old, the occurrence of hyperuricaemia was mainly affected by obesity, dyslipidaemia and CKD, while hypertension cannot be an impact factor for hyperuricaemia independently of obesity and dyslipidaemia.

conclusionAfter 50 years old, the prevalence of hyperuricaemia in Shanghai women has increased significantly and reaches the peak after 70. Obesity and dyslipidaemia are two main related factors for hyperuricaemia during all ages, while diabetes mellitus and nephrolithiasis have no relationship with hyperuricaemia throughout. CKD is an independent impact factor for hyperuricaemia after 30 years old.

Indexed as

HyperuricemiaAdolescentAdultAgedChinaCross-Sectional StudiesFemaleHumansMiddle AgedPrevalenceRisk FactorsYoung Adultepidemiologygeneral medicine (see internal medicine)nephrology

Identifiers

PMID34531210
PMCPMC8449970
OpenAlexW3200072434

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.