Evidence map›Paper›PMID 31871925›Full record

ArticleCanadian journal of gastroenterology & hepatology2019

Association between Serum Uric Acid and Non-Alcoholic Fatty Liver Disease according to Different Menstrual Status Groups.

Yanru Chen, Qiuping Huang, Ping Ai, Huamin Liu, Xueyu Chen, Xizhu Xu, Guoyong Ding, Yuejin Li, Xia Feng, Xiaohui Wang and 3 more

Open access · goldAbstract read
In one paragraph

Article in Canadian journal of gastroenterology & hepatology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

18 citing papers in PubMed, 31 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

13 authors at 4 institutions in 1 country.

Yanru ChenSchool of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, Shandong Province, China.
Qiuping HuangDepartment of Emergency & Critical Care Medicine, Shanghai General Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China.
Ping AiSanbo Brain Institute, Sanbo Brain Hospital, Capital Medical University, Beijing, China.
Huamin LiuSchool of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, Shandong Province, China.
Xueyu ChenSchool of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, Shandong Province, China.
Xizhu XuSchool of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, Shandong Province, China.
Guoyong DingSchool of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, Shandong Province, China.
Yuejin LiSchool of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, Shandong Province, China.
Xia FengSchool of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, Shandong Province, China.
Xiaohui WangSchool of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, Shandong Province, China.
Long JiSchool of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, Shandong Province, China.ORCID 0000-0003-0333-6645
Dong LiSchool of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, Shandong Province, China.ORCID 0000-0002-7729-7151
Yong ZhouEye Hospital, Wenzhou Medical University, Wenzhou, Zhejiang, China.ORCID 0000-0001-5221-8026
Shandong First Medical University · CNCapital Medical University · CNShanghai Jiao Tong University · CNWenzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The present study aimed to explore the association between SUA and NAFLD in women with different menstrual statuses. Methods: A total of 6043 women were selected from the Jidong and Kailuan communities for inclusion in the present study. The SUA levels of participants were divided into quartiles. NAFLD was determined by abdominal ultrasonography. Data from laboratory tests and clinical examination were collected, and basic information was obtained from standardized questionnaires. The menstrual status was stratified into menstrual period, menopause transition period, and postmenopause. Multivariate logistic regression models were used to determine the relationship between menstrual status, SUA, and NAFLD. Results: The levels of SUA in subjects with NAFLD in the menstrual period, menopause transition period, and postmenopause were 268.0 ± 71.1, 265.6 ± 67.8, and 286.7 ± 75.8 (mmol/L), respectively, and were higher than those in subjects without NAFLD. The adjusted odds ratios (ORs) with 95% confidence interval (CI) for NAFLD among participants in the menopause transition period and postmenopausal period were 1.10 (0.89-1.37) and 1.28 (1.04-1.58), respectively, compared with the menstrual period women. Compared to the lowest quartile of SUA, the adjusted ORs with 95% CI of the highest quartile for NAFLD were 2.24 (1.69-2.99) for females in the menstrual period, 1.92 (1.10-3.37) for females in the menopause transition period, and 1.47 (1.06-2.03) for females in postmenopause. Conclusions: Menstrual status was significantly correlated with NAFLD. High levels of SUA were associated with NAFLD in females during the three menstrual periods.

Indexed as

AdultCross-Sectional StudiesFemaleHumansLogistic ModelsMenstruationMiddle AgedNon-alcoholic Fatty Liver DiseasePerimenopausePostmenopauseUric AcidUric Acid

Identifiers

PMID31871925
PMCPMC6906828
OpenAlexW2990123427

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.