Evidence map›Paper›PMID 32676109›Full record

ArticleInternational journal of endocrinology2020

The Association between Serum Uric Acid and Bone Mineral Density in Older Adults.

Xiaocong Yao, Lin Chen, Huihui Xu, Zhongxin Zhu

Abstract read
In one paragraph

Article in International journal of endocrinology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
–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

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

31 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  12. An S-like curve relationship between systemic inflammation response index (SIRI) and respiratory failure in GBS patients.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2023
    Article
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  14. Association between Serum Uric Acid Levels and Bone Mineral Density in Taiwanese Elderly Population.International journal of environmental research and public health · 2023
    Article
  15. Risk Genetic Variants (Journal of inflammation research · 2023
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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

4 authors.

Xiaocong YaoDepartment of Osteoporosis Care and Control, The First People's Hospital of Xiaoshan District, Hangzhou, Zhejiang 311200, China.
Lin ChenDepartment of Immune and Rheumatology, The First People's Hospital of Xiaoshan District, Hangzhou, Zhejiang 311200, China.
Huihui XuZhejiang Chinese Medical University, Hangzhou, Zhejiang 310053, China.
Zhongxin ZhuDepartment of Osteoporosis Care and Control, The First People's Hospital of Xiaoshan District, Hangzhou, Zhejiang 311200, China.ORCID https://orcid.org/0000-0002-5924-6748

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesUric acid has been found to be potentially protective in bone metabolism. We investigated the relationship between serum uric acid (sUA) and lumbar bone mineral density (BMD) among 4156 participants aged 60 years and over from the National Health and Nutrition Examination Survey (NHANES).

methodsTo estimate the association between sUA and lumbar BMD, multivariate logistic regression analyses were conducted. Fitted smoothing curves and generalized additive models were also performed.

resultsWe found sUA positively correlated with lumbar BMD after adjusting for other confounders. On subgroup analyses, stratified by sex and race/ethnicity, the positive correlation of sUA with lumbar BMD remained in both men and women, as well as in whites and Mexican Americans, but not in blacks. In blacks, the association of sUA with lumbar BMD was an inverted

conclusionsOur study revealed a positive relationship between sUA and lumbar BMD among most old adults. This association followed an inverted

Identifiers

PMID32676109
PMCPMC7341403

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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.