Evidence map›Paper›PMID 35846279›Full record

ArticleFrontiers in endocrinology2022

Associaton of Retinol Binding Protein 4 (RBP4) Levels With Hyperuricemia: A Cross-Sectional Study in a Chinese Population.

Guo-Bao Hong, Xiao-Fei Shao, Jia-Min Li, Qin Zhou, Xiao-Su Ke, Pei-Chun Gao, Xiao-Lin Li, Jing Ning, Hai-Shan Chen, Hua Xiao and 2 more

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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 40% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Review
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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

12 authors at 6 institutions in 1 country.

Guo-Bao HongDepartment of Nephrology, The Affiliated Shunde Hospital of Jinan University, Foshan, China.
Xiao-Fei ShaoDepartment of Nephrology, Institute of Nephrology and Urology, The Third Affiliated Hospital of Southern Medical University, Guangzhou, China.
Jia-Min LiDepartment of Nephrology, Nanhai Distric People's Hospital of Foshan, Foshan, China.
Qin ZhouDepartment of Nephrology, Institute of Nephrology and Urology, The Third Affiliated Hospital of Southern Medical University, Guangzhou, China.
Xiao-Su KeDepartment of Nephrology, Guangdong Electric Power Hospital, Guangzhou, China.
Pei-Chun GaoNanjing CR Medicon Pharmaceutical Technology Co., Ltd, Nanjing, China.
Xiao-Lin LiDepartment of Nephrology, South China Hospital of Shenzhen University, Shenzhen, China.
Jing NingDepartment of Nephrology, South China Hospital of Shenzhen University, Shenzhen, China.
Hai-Shan ChenDepartment of Nephrology, Institute of Nephrology and Urology, The Third Affiliated Hospital of Southern Medical University, Guangzhou, China.
Hua XiaoDepartment of Nephrology, Institute of Nephrology and Urology, The Third Affiliated Hospital of Southern Medical University, Guangzhou, China.
Chong-Xiang XiongDepartment of Nephrology, The First Affiliated of Dongguan, Guangdong Medical University, Dongguan, China.
Hequn ZouDepartment of Nephrology, South China Hospital of Shenzhen University, Shenzhen, China.
Third Affiliated Hospital of Southern Medical University · CNUniversity of Hong Kong - Shenzhen Hospital · CNFoshan Second People's Hospital · CNGuangdong Medical College · CNJinan University · CNShenzhen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: There are few studies on predictive biomarkers for hyperuricemia, and the predictive value of these biomarkers tends to be poor. Additionally, no reports have described the predictive value of retinol binding protein 4 (RBP4) for hyperuricemia. Purpose: This study was performed to evaluate the value of RBP4 for predicting the risk of hyperuricemia in a general population, determine whether RBP4 could be used alone or in combination with other factors to predict the risk of hyperuricemia in the general population, and establish an optimum predictive model. Methods: We conducted a population-based cross-sectional survey in 2018, involving a questionnaire, physical examination, and laboratory testing. We enrolled 2303 individuals by stratified random sampling, and 2075 were included in the data analysis after applying the eligibility criteria. Results: Serum RBP4 level had a highly significant association with hyperuricemia ( Conclusions: RBP4 is strongly associated with hyperuricemia, and its predictive value was higher than that of traditional predictors.

Indexed as

HyperuricemiaBiomarkersChinaCross-Sectional StudiesHumansMaleRetinol-Binding Proteins, PlasmaROC CurveBiomarkersRBP4 protein, humanRetinol-Binding Proteins, Plasmacross-sectional surveyhyperuricemiapredictionretinol binding proteinrisk

Identifiers

PMID35846279
PMCPMC9276999
OpenAlexW4283693112

What Socratic holds

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LicenceCC BY
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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 Socratic graph.