Evidence map›Paper›PMID 28185015›Full record

ArticleClinical rheumatology2017

Association between the hypertriglyceridemic waist phenotype and hyperuricemia: a cross-sectional study.

Shuang Chen, Xiaofan Guo, Siyuan Dong, Shasha Yu, Yintao Chen, Naijin Zhang, Yingxian Sun

Abstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in Clinical rheumatology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.7field-weighted citation impact, top 10% 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

22 citing papers in PubMed, 38 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Effects and Mechanisms ofEvidence-based complementary and alternative medicine : eCAM · 2020
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

7 authors at 1 institution in 1 country.

Shuang ChenDepartment of Cardiology, The First Affiliated Hospital of China Medical University, 155 Nanjing North Street, Heping District, Shenyang, 110001, People's Republic of China.
Xiaofan GuoDepartment of Cardiology, The First Affiliated Hospital of China Medical University, 155 Nanjing North Street, Heping District, Shenyang, 110001, People's Republic of China.
Siyuan DongDepartment of Thoracic Surgery, the First Affiliated Hospital of China Medical University, Shenyang, People's Republic of China.
Shasha YuDepartment of Cardiology, The First Affiliated Hospital of China Medical University, 155 Nanjing North Street, Heping District, Shenyang, 110001, People's Republic of China.
Yintao ChenDepartment of Cardiology, The First Affiliated Hospital of China Medical University, 155 Nanjing North Street, Heping District, Shenyang, 110001, People's Republic of China.
Naijin ZhangDepartment of Cardiology, The First Affiliated Hospital of China Medical University, 155 Nanjing North Street, Heping District, Shenyang, 110001, People's Republic of China.
Yingxian SunDepartment of Cardiology, The First Affiliated Hospital of China Medical University, 155 Nanjing North Street, Heping District, Shenyang, 110001, People's Republic of China. yxsun@cmu.edu.cn.
China Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study aimed to evaluate the relationship between the hypertriglyceridemic waist (HTGW) phenotype and hyperuricemia. We undertook a cross-sectional study with a sample of 11,576 adults from China. The HTGW phenotype was defined as elevated waist circumference (WC) and elevated triglyceride (TG) concentration. Logistic regression analysis was used to evaluate the association between the HTGW phenotype and hyperuricemia. The prevalence of hyperuricemia was significantly higher in individuals with the HTGW phenotype, as compared to those with the normal waist normal triglyceride (NWNT) group (25.9 vs. 6.1%, respectively, P < 0.001). After adjusting for age, sex, and race, the HTGW phenotype was associated with hyperuricemia (OR 6.09; 95% CI 5.18-7.17). Further adjusted for potential confounders, the HTGW phenotype was still significantly associated with hyperuricemia (adjusted OR 4.54; 95% CI 3.37-5.54). Moreover, the association between the HTGW phenotype and hyperuricemia was stronger in men (adjusted OR 4.59; 95% CI 3.53-5.98) than in women (adjusted OR 3.55; 95% CI 2.60-4.86). This study indicated that the HTGW phenotype was strongly associated with hyperuricemia, and uric acid should be clinically monitored in individuals with the HTGW phenotype. We can speculate that the HTGW phenotype might be a marker for identifying individuals at high risk of hyperuricemia.

Indexed as

Population SurveillanceChinaCross-Sectional StudiesFemaleHumansHypertriglyceridemic WaistHyperuricemiaMaleMiddle AgedPhenotypePrevalenceRetrospective StudiesRisk AssessmentRisk FactorsTriglyceridesWaist CircumferenceTriglyceridesAbdominal obesityEpidemiologicalHypertriglyceridemic waistHyperuricemia

Identifiers

PMID28185015
OpenAlexW2586073084

What OpenQuestion holds

Textmetadata
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.