Evidence map›Paper›PMID 30563493›Full record

ArticleBMC psychiatry2018

Association between hyperuricemia and metabolic syndrome in patients suffering from bipolar disorder.

Jingxu Chen, Hongmei Chen, Junhui Feng, Ligang Zhang, Juyan Li, Ran Li, Shaoli Wang, Ian Wilson, Alison Jones, Yunlong Tan and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMC psychiatry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
4.6field-weighted citation impact, top 4% 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

17 citing papers in PubMed, 55 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Prevalence and Risk Factors of Comorbid Obesity in Chinese Patients with Bipolar Disorder.Diabetes, metabolic syndrome and obesity : targets and therapy · 2023
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
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 2 institutions in 2 countries.

Jingxu ChenBeijing Hui-Long-Guan Hospital, Peking University, Beijing, 100096, China.
Hongmei ChenBeijing Hui-Long-Guan Hospital, Peking University, Beijing, 100096, China.
Junhui FengJining Psychiatric Hospital, Jining, 272051, China.
Ligang ZhangBeijing Hui-Long-Guan Hospital, Peking University, Beijing, 100096, China.
Juyan LiBeijing Hui-Long-Guan Hospital, Peking University, Beijing, 100096, China.
Ran LiBeijing Hui-Long-Guan Hospital, Peking University, Beijing, 100096, China.
Shaoli WangBeijing Hui-Long-Guan Hospital, Peking University, Beijing, 100096, China.
Ian WilsonIllawarra Health and Medical Research Institute and School of Medicine, University of Wollongong, Wollongong, NSW, 2522, Australia.
Alison JonesIllawarra Health and Medical Research Institute and School of Medicine, University of Wollongong, Wollongong, NSW, 2522, Australia.
Yunlong TanBeijing Hui-Long-Guan Hospital, Peking University, Beijing, 100096, China.
Fude YangBeijing Hui-Long-Guan Hospital, Peking University, Beijing, 100096, China. yangfd200@126.com.
Xu-Feng HuangIllawarra Health and Medical Research Institute and School of Medicine, University of Wollongong, Wollongong, NSW, 2522, Australia. xhuang@uow.edu.au.ORCID 0000-0002-5895-2253
Peking University · CNUniversity of Wollongong · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundClinical studies have shown that bipolar patients have increased serum uric acid levels. High serum uric acid levels could play a role contributing to high prevalence of metabolic syndrome. Metabolic syndrome is known to increase the risk of developing a number of life threatening diseases including coronary heart disease, hypertension, and type 2 diabetes. This study investigated the association between hyperuricemia and metabolic syndrome and its components in individuals suffering from bipolar disorders.

methodsThis study recruited 318 inpatients suffering from bipolar disorders from Beijing Hui-Long-Guan Hospital in China and 160 healthy subjects from the same region as the controls. We used National Cholesterol Education Program Adult Treatment Panel III Adapted criteria (NCEP ATP-III A) for the diagnosis of metabolic syndrome. Hyperuricemia was determined as serum uric acid level above 420 μmol/L in men and 360 μmol/L in women (N Engl J Med 359(17):1811-1821, 2008).

resultsAmong 318 bipolar patients, there was higher prevalence of metabolic syndrome (42.5%) and hyperuricemia (27.7%) than healthy controls (21.9 and 11.9%). Bipolar patients with metabolic syndrome had increased prevalence of hyperuricemia (OR = 3.0, CI95 [1.7-5.4]). Hypertriglyceridemia and larger waist circumference (WC) were associated with hyperunicemia (OR = 1.8, CI95 [1.1-3.1], OR = 1.9, CI95 [1.1-3.4]). Hyperuricemia was associated with metabolic syndrome in bipolar patients (p < 0.001) and especially with hypertriglyceridemia (OR = 1.9, CI95 [1.1-3.1] and increased WC (OR = 2.1 [1.2-4.0]). Bipolar patients over 50 years of age and hyperuricemia were highly prone to develop metabolic syndrome (OR = 14.0, CI95 [5.0-39.0]).

conclusionsHyperuricemia was highly associated with development of metabolic disorder particularly for aged patients suffering from bipolar disorders. Early prevention of hyperuricemia and metabolic syndrome may lead better life for bipolar patients when they get older.

Indexed as

Bipolar DisorderHyperuricemiaMetabolic SyndromeAdultChinaComorbidityCorrelation of DataDiagnostic and Statistical Manual of Mental DisordersFemaleHumansMaleMiddle AgedPrevalenceUric AcidWaist CircumferenceUric AcidAgeingBipolarHyperuricemiaMetabolic syndrome

Identifiers

PMID30563493
PMCPMC6299580
OpenAlexW2904100680

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.