Evidence map›Paper›PMID 30041483›Full record

ArticleInternational journal of environmental research and public health2018

Gender Differences in the Association between Serum Uric Acid and Prediabetes: A Six-Year Longitudinal Cohort Study.

Jia Liu, Zhan Zhao, Yongmin Mu, Xiaoping Zou, Dechun Zou, Jingbo Zhang, Shuo Chen, Lixin Tao, Xiuhua Guo

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

20 citing papers in PubMed, 43 citations in OpenAlex.

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  11. Association between Reproductive Factors and Type 2 Diabetes: A Cross-Sectional Study.International journal of environmental research and public health · 2022
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Association of Serum Uric Acid with Cardiovascular Disease Risk Scores in Koreans.International journal of environmental research and public health · 2019
    Article
  18. Article
  19. Article
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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 4 institutions in 1 country.

Jia LiuSchool of Public Health, Capital Medical University, Beijing 100069, China. liujia@ccmu.edu.cn.
Zhan ZhaoState Key Lab of Transducer Technology, Institute of Electronics, Chinese Academy of Sciences, Beijing 100049, China. zhaozhan@mail.ie.ac.cn.
Yongmin MuComputer Department, Beijing Information Science and Technology University, Beijing 100101, China. yongminmu@163.com.
Xiaoping ZouComputer Department, Beijing Information Science and Technology University, Beijing 100101, China. xpzou2014@163.com.
Dechun ZouBeijing National Laboratory for Molecular Sciences, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, China. dczou@pku.edu.cn.
Jingbo ZhangDepartment of Information, Beijing Physical Examination Center, Beijing 100077, China. 13910625118@139.com.
Shuo ChenDepartment of Information, Beijing Physical Examination Center, Beijing 100077, China. cs@bjtjzx.com.
Lixin TaoSchool of Public Health, Capital Medical University, Beijing 100069, China. taolixin.2008@163.com.
Xiuhua GuoSchool of Public Health, Capital Medical University, Beijing 100069, China. statguo@ccmu.edu.cn.ORCID 0000-0001-6657-6940
Capital Medical University · CNBeijing Information Science & Technology University · CNChinese Academy of Sciences · CNPeking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to examine gender differences in the association between serum uric acid (SUA) and the risk of prediabetes in a longitudinal cohort. A total of 8237 participants in the Beijing Health Management Cohort study were recruited and surveyed during 2008⁻2009, and followed up in 2011⁻2012 and 2014⁻2015 surveys. Generalized estimating equation (GEE) models were used to evaluate the association between SUA and prediabetes. Furthermore, subgroup analyses assessed the primary outcome according to status of abdominal obesity, age and status of hypertension. During six years of follow-up, we identified 1083 prediabetes events. The GEE analyses confirmed and clarified the association between SUA and prediabetes (RR = 1.362; 95% CI = 1.095⁻1.696;

Indexed as

AdultAsian PeopleBeijingFemaleHumansHypertensionLongitudinal StudiesMaleMiddle AgedObesity, AbdominalPrediabetic StateSex CharacteristicsUric AcidUric Acidgeneralized estimating equationlongitudinal cohort studyprediabetesserum uric acid

Identifiers

PMID30041483
PMCPMC6068609
OpenAlexW2883357404

What OpenQuestion 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 OpenQuestion graph.