Evidence map›Paper›PMID 32192511›Full record

ArticleJournal of translational medicine2020

Changing trajectories of serum uric acid and risk of non-alcoholic fatty liver disease: a prospective cohort study.

Zhimin Ma, Chaonan Xu, Xiaoping Kang, Shan Zhang, Haibin Li, Lixin Tao, Deqiang Zheng, Xiuhua Guo, Xinghua Yang

Open access · goldAbstract read
In one paragraph

Article in Journal of translational medicine, 2020. 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
3.5field-weighted citation impact, top 6% 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, 54 citations in OpenAlex.

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  12. Annals of medicine · 2023
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  14. A cohort study on the correlation between serum uric acid trajectory and the progression of renal function in patients with Type 2 diabetes mellitus.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2023
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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

9 authors at 3 institutions in 1 country.

Zhimin MaSchool of Public Health, Capital Medical University, NO. 10 Xitoutiao, Youanmen, Fengtai District, Beijing, 100069, China.
Chaonan XuSchool of Public Health, Capital Medical University, NO. 10 Xitoutiao, Youanmen, Fengtai District, Beijing, 100069, China.
Xiaoping KangBeijing Xiaotangshan Hospital, NO. 390 Wenquan Street, Xiaotangshan Town, Changping District, Beijing, 102211, China.
Shan ZhangSchool of Public Health, Capital Medical University, NO. 10 Xitoutiao, Youanmen, Fengtai District, Beijing, 100069, China.
Haibin LiSchool of Public Health, Capital Medical University, NO. 10 Xitoutiao, Youanmen, Fengtai District, Beijing, 100069, China.
Lixin TaoSchool of Public Health, Capital Medical University, NO. 10 Xitoutiao, Youanmen, Fengtai District, Beijing, 100069, China.
Deqiang ZhengSchool of Public Health, Capital Medical University, NO. 10 Xitoutiao, Youanmen, Fengtai District, Beijing, 100069, China.
Xiuhua GuoSchool of Public Health, Capital Medical University, NO. 10 Xitoutiao, Youanmen, Fengtai District, Beijing, 100069, China.
Xinghua YangSchool of Public Health, Capital Medical University, NO. 10 Xitoutiao, Youanmen, Fengtai District, Beijing, 100069, China. xinghuayang@ccmu.edu.cn.
Beijing Fengtai Hospital · CNCapital Medical University · CNTang Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIt is unclear the role of longitudinal trajectory of serum uric acid (SUA) on the development of non-alcoholic fatty liver disease (NAFLD). We aimed to determine whether longitudinal SUA trajectories are associated with the risk of new-onset NAFLD.

methodsWe explored the relationship between SUA trajectories and NAFLD in a cohort including 3822 participants. Individual's SUA trajectories from 2012 to 2014 were defined using group-based trajectory modeling analysis in four distinct patterns: trajectory 1 (n = 991, 25.93%), trajectory 2 (n = 1421, 37.18%), trajectory 3 (n = 1156, 30.22%), and trajectory 4 (n = 254, 6.67%). The logistic regression model was used to evaluate the association between SUA changing trajectories and subsequent NAFLD until 2016. Dose-response relationship between SUA changing trajectories and NAFLD risk was evaluated through the testing of trajectory groups as a continuous variable.

resultsThe 2-year incidence of NAFLD was 13.27%. Compared with trajectory 1, the adjusted odds risk for NAFLD development was in a dose-response relationship as follows: 1.27 (95% CI 0.91-1.78) for trajectory 2, 1.89 (95% CI 1.29-2.75) for trajectory 3, and 2.34 (95% CI 1.43-3.83) for trajectory 4. And this dose-response relationship was not affected by age, sex, and abdominal obesity.

conclusionsHigher SUA changing trajectory is a risk factor for NAFLD. This finding highlights the importance of paying attention to SUA changing trajectory on the detection and prevention of NAFLD.

Indexed as

Non-alcoholic Fatty Liver DiseaseUric AcidCohort StudiesHumansProspective StudiesRisk FactorsUric AcidChanging trajectoryDose–response relationshipNon-alcoholic fatty liver diseaseSerum uric acid

Identifiers

PMID32192511
PMCPMC7081554
OpenAlexW3012778090

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.