Evidence map›Paper›PMID 27447659›Full record

ArticleInternational journal of environmental research and public health2016

The Relation of Moderate Alcohol Consumption to Hyperuricemia in a Rural General Population.

Zhao Li, Xiaofan Guo, Yamin Liu, Ye Chang, Yingxian Sun, Guangshuo Zhu, Maria Roselle Abraham

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 14% 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 41 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Observational
  6. Observational
  7. Review
  8. Article
  9. Article
  10. Microorganisms · 2024
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Interaction of Alcohol Consumption andJournal of personalized medicine · 2021
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Hyperuricemia predicts the risk for developing hypertension independent of alcohol drinking status in men and women: the Saku study.Hypertension research : official journal of the Japanese Society of Hypertension · 2020
    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 3 institutions in 2 countries.

Zhao LiDepartment of Cardiology, the First Hospital of China Medical University, Shenyang 110001, China. meilichian@aliyun.com.
Xiaofan GuoDepartment of Cardiology, the First Hospital of China Medical University, Shenyang 110001, China. guoxiaofanl1986@outlook.com.
Yamin LiuDepartment of Pharmacy, Zhongda Hospital, Southeast University, Nanjing 210009, China. zhaolisy@outlook.com.
Ye ChangDepartment of Cardiology, the First Hospital of China Medical University, Shenyang 110001, China. guanyufan1986@gmail.com.
Yingxian SunDepartment of Cardiology, the First Hospital of China Medical University, Shenyang 110001, China. sunyingxian121@126.com.
Guangshuo ZhuDepartment of Cardiology, Johns Hopkins University, Baltimore, MD 21205, USA. zhuguangshuo1976@gmail.com.
Maria Roselle AbrahamDepartment of Cardiology, Johns Hopkins University, Baltimore, MD 21205, USA. meilichian3@gmail.com.
China Medical University · CNJohns Hopkins University · USZhongda Hospital Southeast University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundalthough alcohol abuse is known to increase serum uric acid, the relation between moderate drinking and uric acid have remained poorly understood. We performed this study to evaluate whether different alcohol consumption level has different effects on the risk of hyperuricemia based on a rural general population.

methodmulti-stage cluster sampling method was used to select a representative sample of individuals aged 35 years or older. Participants were asked to provide information about their alcohol consumption. Data regarding the demographic and lifestyle characteristics and the blood biochemical indexes of these participants were collected by well-trained personnel.

resultsin total, 11,039 participants aged 35 years or older were included (4997 men and 6042 women). The prevalence of hyperuricemia in the different male alcohol consumption groups was 11.9% in non-drinkers, 12.6% in moderate drinkers, and 16.3% in heavy drinkers (p < 0.001). In females, the rates were 6.3% in non-drinkers, 8.1% in moderate drinkers, and 6.6% for heavy drinkers (p = 0.818). In males, multivariate logistic regression analyses shows heavy drinkers had an approximately 1.7-fold higher risk of hyperuricemia (OR: 1.657, 95% CI: 1.368 to 2.007, p < 0.001) than non-drinkers; moderate drinkers did not experience a significant increase in risk (OR: 1.232, 95% CI: 0.951 to 1.596, p = 0.114)). Multivariate logistic regression analyses of females showed that, compared with non-drinkers, neither moderate nor heavy drinkers had a significantly increased risk of hyperuricemia (OR: 1.565, 95% CI: 0.521 to 4.695, p = 0.425 for heavy drinkers; OR: 0.897, 95% CI: 0.117 to 6.855, p = 0.916 for moderate drinkers).

conclusionsheavy alcohol consumption increased the risk of hyperuricemia for males but not for females. Among both males and females, moderate alcohol consumption did not increase the risk of hyperuricemia.

Indexed as

AdultAgedAlcohol DrinkingAlcoholic IntoxicationChinaFemaleHumansHyperuricemiaLife StyleMaleMiddle AgedPrevalenceRural PopulationUric AcidUric Acidalcoholconsumptionhyperuricemiaprevalencerisk factor

Identifiers

PMID27447659
PMCPMC4962273
OpenAlexW2505692061

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.