FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2920151556> ?p ?o ?g. }

• W2920151556 endingPage "e025453" @default.
• W2920151556 startingPage "e025453" @default.
• W2920151556 abstract "Objectives To 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 design Observational, cross-sectional study. Setting Data were obtained from the physical check-up of local residents at three hospitals in Shanghai. Participants Residents 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. Results There 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. Conclusions In 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." @default.
• W2920151556 created "2019-03-11" @default.
• W2920151556 creator A5010311930 @default.
• W2920151556 creator A5033789685 @default.
• W2920151556 creator A5045545412 @default.
• W2920151556 creator A5048518436 @default.
• W2920151556 creator A5059974927 @default.
• W2920151556 creator A5071654004 @default.
• W2920151556 creator A5075115461 @default.
• W2920151556 creator A5078650604 @default.
• W2920151556 creator A5085981985 @default.
• W2920151556 date "2019-03-01" @default.
• W2920151556 modified "2023-10-18" @default.
• W2920151556 title "Relationship between serum uric acid and clustering of cardiovascular disease risk factors and renal disorders among Shanghai population: a multicentre and cross-sectional study" @default.
• W2920151556 cites W1513833217 @default.
• W2920151556 cites W1551875034 @default.
• W2920151556 cites W1583627018 @default.
• W2920151556 cites W1948104620 @default.
• W2920151556 cites W1955399352 @default.
• W2920151556 cites W1963700573 @default.
• W2920151556 cites W1964295931 @default.
• W2920151556 cites W1964439201 @default.
• W2920151556 cites W1971851436 @default.
• W2920151556 cites W1977802778 @default.
• W2920151556 cites W1989878428 @default.
• W2920151556 cites W1995746242 @default.
• W2920151556 cites W2021959778 @default.
• W2920151556 cites W2023544297 @default.
• W2920151556 cites W2033458606 @default.
• W2920151556 cites W2055864845 @default.
• W2920151556 cites W2082236694 @default.
• W2920151556 cites W2084382121 @default.
• W2920151556 cites W2088289833 @default.
• W2920151556 cites W2093990540 @default.
• W2920151556 cites W2094392313 @default.
• W2920151556 cites W2119531698 @default.
• W2920151556 cites W2126653200 @default.
• W2920151556 cites W2134293572 @default.
• W2920151556 cites W2139503113 @default.
• W2920151556 cites W2140645838 @default.
• W2920151556 cites W2152732346 @default.
• W2920151556 cites W2156121263 @default.
• W2920151556 cites W2156131531 @default.
• W2920151556 cites W2165237877 @default.
• W2920151556 cites W2169195258 @default.
• W2920151556 cites W2206349866 @default.
• W2920151556 cites W2215784195 @default.
• W2920151556 cites W2230815054 @default.
• W2920151556 cites W2441521299 @default.
• W2920151556 cites W2472725881 @default.
• W2920151556 cites W2496925096 @default.
• W2920151556 cites W2502205696 @default.
• W2920151556 cites W2510750833 @default.
• W2920151556 cites W2594705063 @default.
• W2920151556 cites W2607031541 @default.
• W2920151556 cites W2773498030 @default.
• W2920151556 cites W2782016615 @default.
• W2920151556 cites W2791927263 @default.
• W2920151556 cites W2810189824 @default.
• W2920151556 cites W2895658367 @default.
• W2920151556 cites W2895668396 @default.
• W2920151556 cites W2895748962 @default.
• W2920151556 cites W2897012615 @default.
• W2920151556 cites W2899542323 @default.
• W2920151556 cites W2901141746 @default.
• W2920151556 cites W2901979625 @default.
• W2920151556 cites W2939930090 @default.
• W2920151556 cites W4301231370 @default.
• W2920151556 cites W3174461150 @default.
• W2920151556 doi "https://doi.org/10.1136/bmjopen-2018-025453" @default.
• W2920151556 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6429858" @default.
• W2920151556 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30826766" @default.
• W2920151556 hasPublicationYear "2019" @default.
• W2920151556 type Work @default.
• W2920151556 sameAs 2920151556 @default.
• W2920151556 citedByCount "16" @default.
• W2920151556 countsByYear W29201515562019 @default.
• W2920151556 countsByYear W29201515562020 @default.
• W2920151556 countsByYear W29201515562021 @default.
• W2920151556 countsByYear W29201515562022 @default.
• W2920151556 countsByYear W29201515562023 @default.
• W2920151556 crossrefType "journal-article" @default.
• W2920151556 hasAuthorship W2920151556A5010311930 @default.
• W2920151556 hasAuthorship W2920151556A5033789685 @default.
• W2920151556 hasAuthorship W2920151556A5045545412 @default.
• W2920151556 hasAuthorship W2920151556A5048518436 @default.
• W2920151556 hasAuthorship W2920151556A5059974927 @default.
• W2920151556 hasAuthorship W2920151556A5071654004 @default.
• W2920151556 hasAuthorship W2920151556A5075115461 @default.
• W2920151556 hasAuthorship W2920151556A5078650604 @default.
• W2920151556 hasAuthorship W2920151556A5085981985 @default.
• W2920151556 hasBestOaLocation W29201515561 @default.
• W2920151556 hasConcept C126322002 @default.
• W2920151556 hasConcept C142052008 @default.
• W2920151556 hasConcept C142724271 @default.
• W2920151556 hasConcept C156957248 @default.
• W2920151556 hasConcept C2778653478 @default.
• W2920151556 hasConcept C2779881121 @default.

• next