Evidence map›Paper›PMID 34306070›Full record

ArticleInternational journal of endocrinology2021

Association between Lipid Profiles and Serum Urate: A Cross-Sectional Study in Southwestern China.

Jiying Qi, Xiaojuan Dai, Binbin Zhou, Yang Su, Zhen Xie, Dongmei Liu

Open access · goldAbstract read
In one paragraph

Article in International journal of endocrinology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

7 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
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

6 authors at 3 institutions in 1 country.

Jiying QiDepartment of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID https://orcid.org/0000-0002-4028-9713
Xiaojuan DaiDepartment of Rheumatology, Zhongshan Hospital, Fudan University, Shanghai, China.ORCID https://orcid.org/0000-0002-7274-1268
Binbin ZhouDepartment of Rheumatology, Xiamen Hospital, Zhongshan Hospital, Fudan University, Xiamen, Fujian, China.ORCID https://orcid.org/0000-0003-3573-2263
Yang SuClinical Laboratory, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.ORCID https://orcid.org/0000-0003-0975-8187
Zhen XieChinese Academy of Sciences Sichuan Translational Medicine Research Hospital, Chengdu, China.ORCID https://orcid.org/0000-0003-1976-6666
Dongmei LiuDepartment of Rheumatology, Zhongshan Hospital, Fudan University, Shanghai, China.ORCID https://orcid.org/0000-0003-1645-3998
Fudan University · CNUniversity of Electronic Science and Technology of China · CNShanghai Jiao Tong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe relationship between lipid profiles and serum urate has not been fully investigated. This study aims to investigate the sex- and age-specific association between lipid profiles and serum urate.

methodsThis was a cross-sectional study involving 122,351 participants aged 18-99 years from a check-up centre in Southwestern China. Generalized additive models and smooth curve fitting were conducted to explore the association between components of lipid profiles and serum urate. Furthermore, multivariate linear and logistic regression models were also performed.

resultsIn generalized additive models, the fitted smoothing curves showed that serum urate fluctuated in a small range with total cholesterol, LDL-C, or HDL-C raising. After adjusting for confounders, the differences in serum urate progressively increased with raising serum triglycerides quartiles. The likelihood (odds ratio, OR) for developing serum urate > 420

conclusionsSerum urate and the likelihood for developing serum urate >420

Identifiers

PMID34306070
PMCPMC8285201
OpenAlexW3179782488

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.