Evidence map›Paper›PMID 37065741›Full record

ArticleFrontiers in endocrinology2023

Relationship between bone mineral density and hyperuricemia in obesity: A cross-sectional study.

Yi Zhang, Min Tan, Boyu Liu, Manxia Zeng, You Zhou, Mengru Zhang, Yikai Wang, Jing Wu, Min Wang

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

9 authors.

Yi ZhangDepartment of Endocrinology, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Min TanDepartment of Endocrinology, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Boyu LiuDepartment of Endocrinology, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Manxia ZengDepartment of Endocrinology, Xiangya Hospital, Central South University, Changsha, Hunan, China.
You ZhouDepartment of Endocrinology, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Mengru ZhangDepartment of Endocrinology, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Yikai WangDepartment of Endocrinology, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Jing WuDepartment of Endocrinology, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Min WangDepartment of Endocrinology, Xiangya Hospital, Central South University, Changsha, Hunan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Obesity is an increasingly severe global public health issue. This study aims to estimate the cross-sectional association between bone mineral density (BMD) and hyperuricemia (HU) in obesity. Method: A total of 275 obese subjects (126 men and 149 women) participated in this cross-sectional study. Obesity was diagnosed as body mass index (BMI) ≥28 kg/m Result: The overall prevalence of HU was 66.9% in this obese population. The mean age and BMI of this population were 27.9 ± 9.9 years and 35.2 ± 5.2 kg/m Conclusion: Our results showed that the lumbar BMD was negatively associated with HU in obesity. However, such findings only existed in men, rather than women. In addition, no significant relationship between hip BMD and HU existed in obesity. Due to the limited sample size and nature of the cross-sectional design, further large prospective studies are still needed to clarify the issues.

Indexed as

Bone DensityHyperuricemiaCross-Sectional StudiesFemaleHumansLumbar VertebraeMaleObesitybone mineral densitycross-sectionalhyperuricemiaobesityuric acid

Identifiers

PMID37065741
PMCPMC10092361

What Socratic holds

Textmetadata
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 Socratic graph.