Evidence map›Paper›PMID 31908434›Full record

ArticleClinical interventions in aging2019

Risk Factors For Hyperuricemia In Chinese Centenarians And Near-Centenarians.

Qiu-Xia Han, Dong Zhang, Ya-Li Zhao, Liang Liu, Jing Li, Fu Zhang, Fu-Xin Luan, Dong-Wei Liu, Zhang-Suo Liu, Guang-Yan Cai and 2 more

Open access · goldAbstract read
In one paragraph

Article in Clinical interventions in aging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
3.4field-weighted citation impact, top 7% 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

21 citing papers in PubMed, 43 citations in OpenAlex.

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  12. Risk Factors and Cardiovascular Disease in the Elderly.Reviews in cardiovascular medicine · 2022
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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 5 institutions in 2 countries.

Qiu-Xia Han *Department of Nephrology, Chinese PLA General Hospital, Chinese PLA Institute of Nephrology, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases,Beijing Key Laboratory of Kidney Diseases, Beijing 100853, People's Republic of China.
Dong Zhang *Department of Nephrology, Chinese PLA General Hospital, Chinese PLA Institute of Nephrology, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases,Beijing Key Laboratory of Kidney Diseases, Beijing 100853, People's Republic of China.
Ya-Li ZhaoCentral Laboratory, Hainan Branch of Chinese PLA General Hospital, Sanya 572000, People's Republic of China.
Liang LiuManagement Department, Hainan Branch of Chinese PLA General Hospital, Sanya 572000, People's Republic of China.
Jing LiManagement Department, Hainan Branch of Chinese PLA General Hospital, Sanya 572000, People's Republic of China.
Fu ZhangManagement Department, Hainan Branch of Chinese PLA General Hospital, Sanya 572000, People's Republic of China.
Fu-Xin LuanManagement Department, Hainan Branch of Chinese PLA General Hospital, Sanya 572000, People's Republic of China.
Dong-Wei LiuDepartment of Nephrology, The First Affiliated Hospital of Zhengzhou University, Research Institute of Nephrology of Zhengzhou University, Key Laboratory of Precision Diagnosis and Treatment for Chronic Kidney Disease in Henan Province, Zhengzhou 450052, People's Republic of China.
Zhang-Suo LiuDepartment of Nephrology, The First Affiliated Hospital of Zhengzhou University, Research Institute of Nephrology of Zhengzhou University, Key Laboratory of Precision Diagnosis and Treatment for Chronic Kidney Disease in Henan Province, Zhengzhou 450052, People's Republic of China.
Guang-Yan CaiDepartment of Nephrology, Chinese PLA General Hospital, Chinese PLA Institute of Nephrology, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases,Beijing Key Laboratory of Kidney Diseases, Beijing 100853, People's Republic of China.
Xiang-Mei ChenDepartment of Nephrology, Chinese PLA General Hospital, Chinese PLA Institute of Nephrology, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases,Beijing Key Laboratory of Kidney Diseases, Beijing 100853, People's Republic of China.
Han-Yu ZhuDepartment of Nephrology, Chinese PLA General Hospital, Chinese PLA Institute of Nephrology, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases,Beijing Key Laboratory of Kidney Diseases, Beijing 100853, People's Republic of China.
Chinese PLA General Hospital · CNFirst Affiliated Hospital of Zhengzhou University · CNState Key Laboratory of Kidney DiseasesHainan Branch of People's Liberation Army General Hospital · CNNankai University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeHyperuricemia is an important potential pathogenic factor for hypertension, cardiovascular disease and stroke. The current study aimed to investigate the prevalence of hyperuricemia and its relationship to lifestyle characteristics and dietary habits in centenarians and near-centenarians. PATIENTS AND

methodsIn total, 966 centenarians and 788 near-centenarians were included. Community-based surveys were conducted to collect information about lifestyle. Blood examinations were performed using enzymatic assays. T-tests and χ2 tests were used to investigate significant indicators of hyperuricemia, and multivariate logistic regression was used to analyze the related risk factors. A comprehensive analysis of nineteen modifiable factors, including lifestyle characteristics, dietary habits, general characteristics and blood test indexes, was conducted.

resultsThe prevalence of hyperuricemia was 29.02%. The percentage of men, waist circumference (WC), waist-hip ratio, estimated glomerular filtration rate (eGFR), levels of total protein (TP), alanine aminotransferase, aspartate aminotransferase, triglycerides, high-density lipoprotein cholesterol, serum homocysteine, serum uric acid, serum urea and serum creatinine, passive smoking, alcohol consumption, snoring, preference for fried flavors, and meat, seafood and vegetable consumption were significantly different between the hyperuricemia group and the normouricemia group (p<0.05). Multivariate logistic regression analysis showed that WC (OR=1.020), eGFR (OR=0.960), TP level (OR=1.038), serum urea level (OR=1.154), passive smoking (OR=2.589), snoring (OR=2.003), meat consumption (OR=2.506), seafood consumption (OR=1.422) and vegetable consumption (OR=0.521) were significantly associated with the risk of hyperuricemia (p<0.05).

conclusionLow eGFR and vegetable consumption, high WC, TP, and serum urea levels, passive smoking, snoring, and high meat and seafood consumption were independent risk factors for hyperuricemia. It is recommended that people at high risk for hyperuricemia should actively limit their intake of fried food, alcohol and purine-rich food, increase their intake of fresh vegetables, actively treat sleep apnea syndrome, avoid passive smoking, maintain a healthy WC and seek to improve their kidney and liver function.

Indexed as

Feeding BehaviorLife StyleAged, 80 and overAge FactorsAlcohol DrinkingBiomarkersCardiovascular DiseasesChinaCholesterol, HDLFemaleHumansHyperuricemiaMalePrevalenceRisk AssessmentRisk FactorsBiomarkersCholesterol, HDLTriglyceridesUric Acidcentenariansdietaryhyperuricemialifestylerisk factors

Identifiers

PMID31908434
PMCPMC6927493
OpenAlexW2996624998

What OpenQuestion holds

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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.