Evidence map›Paper›PMID 34786025›Full record

ArticleCardiovascular therapeutics2021

The Association between the Serum Uric Acid Level and Hypertension in Middle-Aged and Elderly Adults.

Xianpeng Xu, Jinke Huang, Simin Wu, Qingjie Ji, Xuguang Guo, Yong Huang

Abstract read
In one paragraph

Article in Cardiovascular therapeutics, 2021. 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
–field-weighted citation impact
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

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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.

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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

6 authors.

Xianpeng XuDepartment of Acupuncture and Moxibustion, Quzhou Hospital of Traditional Chinese Medicine, Quzhou, China.ORCID https://orcid.org/0000-0002-7422-3296
Jinke HuangThe Second Clinical Medical School, Guangzhou University of Chinese Medicine, Guangzhou, China.ORCID https://orcid.org/0000-0002-5623-0564
Simin WuThe Second Clinical Medical School, Guangzhou University of Chinese Medicine, Guangzhou, China.ORCID https://orcid.org/0000-0001-9120-3919
Qingjie JiDepartment of Acupuncture and Moxibustion, Quzhou Hospital of Traditional Chinese Medicine, Quzhou, China.ORCID https://orcid.org/0000-0002-9637-8547
Xuguang GuoDepartment of Clinical Laboratory Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou 510150, China.ORCID https://orcid.org/0000-0003-1736-0750
Yong HuangSchool of Traditional Chinese Medicine, Southern Medical University, Guangzhou, China.ORCID https://orcid.org/0000-0003-2652-8586

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStudies on serum uric acid (sUA) levels and hypertension (HTN) are controversial. To investigate the association between the sUA level and the incident of HTN in middle-aged and elderly adults, we performed this study.

methods6399 participants aged ≥40 years from the National Health and Nutrition Examination Survey (NHANES) were included. Weighted multiple logistic regression analysis was carried out to evaluate the relationship between the sUA level and the incident of HTN, exploring the potential nonlinear relationship using the fitted smoothing curves. If nonlinearity was observed, the inflection point was further calculated by a recursive algorithm.

resultsA positive relationship between the sUA level and the incident of HTN was found. However, it may differ in different race groups, nor between male and female. Moreover, the association between the sUA level and the incident of HTN followed a U-shaped curve in male (turning point: sUA 4.1 mg/dL) and Whites (turning point: sUA 7.9 mg/dL).

conclusionsThe results revealed that the sUA level is positively correlated with the incident of HTN, in middle-aged and elderly adults. However, it followed a U-shaped curve in males and Whites.

Indexed as

HypertensionUric AcidAdultAgedFemaleHumansMaleMiddle AgedNutrition SurveysRisk FactorsUric Acid

Identifiers

PMID34786025
PMCPMC8563109

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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.