Evidence map›Paper›PMID 38322533›Full record

ArticleSichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition2024

[Analysis of Influencing Factors of Hyperuricemia in Tibetan Population in Nagqu City, Tibet].

Renqinglamu, Hai Xiong, Yufei Zhang, Biao Liu, Kangzhi Ding, Yang Wan

Abstract readEnglish Abstract
In one paragraph

Article in Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
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4 · The record

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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.

Renqinglamu( 850000) Medicine College, Tibet University, Lhasa 850000, China.
Hai Xiong( 850000) Medicine College, Tibet University, Lhasa 850000, China.
Yufei Zhang( 850000) Medicine College, Tibet University, Lhasa 850000, China.
Biao Liu( 850000) Medicine College, Tibet University, Lhasa 850000, China.
Kangzhi Ding( 850000) Medicine College, Tibet University, Lhasa 850000, China.
Yang Wan( 850000) Medicine College, Tibet University, Lhasa 850000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To analyze the prevalence of hyperuricemia (HUA) among the Tibetan population in Nagqu City, Tibet and to uncover the relevant influencing factors. Methods: From July 2020 to August 2021, 763 Tibetan natives from Bangor County (specifically Xinji Township and Jiaqiong Township) and Seni District (specificially Sexiong Township), Nagqu City were investigated by multi-stage cluster random sampling method and the prevalence of HUA was studied by retrospective analysis. Chi-square test and multiple logistic regression were used to analyze the influencing factors of HUA prevalence. Results: The overall prevalence of HUA among the Tibetan population in the three townships of Nagqu City was 19.66% (150/763). In particular, the prevalence in men was 35.00%, while that in women was 8.58%, showing significant difference ( Conclusion: The prevalence of HUA is relatively high in Nagqu city and the prevalence of HUA is much higher in men than that in women. Male sex, abnormal liver function, abnormal creatinine, elevated low-density lipoprotein, and hyperlipidemia may be the risk factors for HUA in the local Tibetan population.

Indexed as

HyperlipidemiasHyperuricemiaChinaCreatinineFemaleHumansLipoproteins, LDLMalePrevalenceRetrospective StudiesRisk FactorsTibetUric AcidCreatinineLipoproteins, LDLUric AcidHyperuricemiaInfluencing factorsTibetan population

Identifiers

PMID38322533
PMCPMC10839488

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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.