Evidence map›Paper›PMID 23237621›Full record

ArticleGenetic testing and molecular biomarkers2013

Gender, body mass index, and PPARγ polymorphism are good indicators in hyperuricemia prediction for Han Chinese.

Ming-Fen Lee, Tsan-Hon Liou, Weu Wang, Wen-Harn Pan, Wei-Jei Lee, Chung-Tan Hsu, Suh-Fen Wu, Hsin-Hung Chen

Open access · greenAbstract read
In one paragraph

Article in Genetic testing and molecular biomarkers, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.2field-weighted citation impact, top 47% 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

11 citing papers in PubMed, 14 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 7 institutions in 2 countries.

Ming-Fen LeeDepartment of Nutrition and Health Sciences, Chang Jung Christian University, Tainan City, Taiwan, Republic of China.
Tsan-Hon Liou
Weu Wang
Wen-Harn Pan
Wei-Jei Lee
Chung-Tan Hsu
Suh-Fen Wu
Hsin-Hung Chen
Chang Jung Christian University · TWCathay General Hospital · TWChang Hua Hospital · TWInstitute of Biomedical Sciences, Academia Sinica · TWMin Sheng General Hospital · TWTaipei Medical University · TWTaipei Medical University Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hyperuricemia is closely associated with obesity and metabolic abnormalities, which is also an independent risk factor for cardiovascular diseases. The PPARγ gene, which is linked to obesity and metabolic abnormalities in Han Chinese, might be considered a top candidate gene that is involved in hyperuricemia. This study recruited 457 participants, aged 20-40 years old, to investigate the associations of the PPARγ gene and metabolic parameters with hyperuricemia. Three tag-single nucleotide polymorphisms, rs2292101, rs4684846, and rs1822825, of the PPARγ gene were selected to explore their association with hyperuricemia. Risk genotypes on rs1822825 of the PPARγ gene exhibited statistical significance with hyperuricemia (odds ratio: 1.9; 95% confidence interval: 1.05-3.57). Although gender, body mass index (BMI), serum total cholesterol concentration, or protein intake per day were statistically associated with hyperuricemia, the combination of BMI, gender, and rs1822825, rather than that of age, serum lipid profile, blood pressure, and protein intake per day, satisfied the predictability for hyperuricemia (sensitivity: 69.3%; specificity: 83.7%) in Taiwan-born obese Han Chinese. BMI, gender, and the rs1822825 polymorphism in the PPARγ gene appeared good biomarkers in hyperuricemia; therefore, these powerful indicators may be included in the prediction of hyperuricemia to increase the accuracy of the analysis.

Indexed as

Asian PeopleBody Mass IndexPolymorphism, GeneticAdultBlood PressureCholesterolFemaleGender IdentityHumansHyperuricemiaLipidsMaleMetabolic SyndromeObesityPPAR gammaRisk FactorsCholesterolLipidsPPAR gamma

Identifiers

PMID23237621
PMCPMC3525899
OpenAlexW2036782729

What OpenQuestion holds

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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 OpenQuestion graph.