Evidence map›Paper›PMID 35712254›Full record

ArticleFrontiers in endocrinology2022

Association Between Serum Uric Acid and Carotid Intima-Media Thickness in Different Fasting Blood Glucose Patterns: A Case-Control Study.

Yuanyuan Gao, Baofeng Xu, Yanyan Yang, Mei Zhang, Tian Yu, Qiujuan Zhang, Jianwei Sun, Rui Liu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in endocrinology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.9field-weighted citation impact, top 29% 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

8 citing papers in PubMed, 6 citations in OpenAlex.

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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

8 authors at 3 institutions in 1 country.

Yuanyuan GaoDepartment of VIP Unit, China-Japan Union Hospital of Jilin University, Changchun, China.
Baofeng XuDepartment of Stroke Center, First Hospital of Jilin University, Changchun, China.
Yanyan YangDepartment of Ultrasound, China-Japan Union Hospital of Jilin University, Changchun, China.
Mei ZhangDepartment of VIP Unit, China-Japan Union Hospital of Jilin University, Changchun, China.
Tian YuDepartment of VIP Unit, China-Japan Union Hospital of Jilin University, Changchun, China.
Qiujuan ZhangDepartment of VIP Unit, China-Japan Union Hospital of Jilin University, Changchun, China.
Jianwei SunDepartment of Neurosurgery, Weifang People's Hospital, Weifang, China.
Rui LiuDepartment of VIP Unit, China-Japan Union Hospital of Jilin University, Changchun, China.
Union Hospital · CNJilin University · CNWeifang People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Our objective was to analyze the correlation between serum uric acid (SUA) levels and carotid intima-media thickness (CIMT) and explore the relationship between SUA and carotid atherosclerosis in different glucose metabolism patterns. A total of 614 patients were enrolled in this case-control study, including 406 in the normouricemia group and 208 in the hyperuricemia group. The two groups were each divided into three groups according to fasting blood glucose (FBG) level: normal, impaired fasting glucose (IFG), and diabetes mellitus (DM). CIMT and the CIMT thickening rate in the hyperuricemia group were significantly higher than those in the normouricemia group: 0.17 (0.11-0.24) cm vs. 0.12 (0.08-0.15) cm and 73.56% vs. 51.97% (

Indexed as

Carotid Artery DiseasesDiabetes MellitusHyperuricemiaBlood GlucoseCarotid Intima-Media ThicknessCase-Control StudiesCholesterolFastingHumansUric AcidBlood GlucoseCholesterolUric Acidcarotid atherosclerosiscarotid intima-media thicknesscase-control studyfasting blood glucoseserum uric acid

Identifiers

PMID35712254
PMCPMC9197240
OpenAlexW4281705691

What OpenQuestion holds

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Registered trials

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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.