Evidence map›Paper›PMID 38370360›Full record

ArticleFrontiers in endocrinology2024

New-onset metabolic syndrome is associated with accelerated renal function decline partially through elevated uric acid: an epidemiological cohort study.

Qiuyu Xu, Xiaohong Fan, Gang Chen, Jie Ma, Wenling Ye, Sanxi Ai, Li Wang, Ke Zheng, Yan Qin, Limeng Chen and 2 more

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. The causal relationship between androgenetic alopecia and serum uric acid: A bidirectional Mendelian randomization analysis.Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) · 2024
    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

12 authors.

Qiuyu Xu *Department of Nephrology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Xiaohong Fan *Department of Nephrology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Gang ChenDepartment of Nephrology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Jie MaDepartment of Nephrology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Wenling YeDepartment of Nephrology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Sanxi AiDepartment of Nephrology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Li WangDepartment of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, China.
Ke ZhengDepartment of Nephrology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Yan QinDepartment of Nephrology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Limeng ChenDepartment of Nephrology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Mingxi LiDepartment of Nephrology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Xuemei LiDepartment of Nephrology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The burden of metabolic syndrome (MetS) continues to rise globally and is associated with complications of multiple organ systems. We aimed to identify the association between changes in MetS status and accelerated renal function progression through a regional epidemiological survey in China, thus discovering influence factors with treatable potential. Methods: This study was a population-based survey conducted in 2008 and 2014, assessing a representative sample of 5,225 individuals from rural areas of China. They were divided into four subgroups according to their MetS status in 2008 and 2014 (Never, Previously abnormal, New-onset, and Consistent). Multivariate logistic regression and stratification analysis evaluated the relationship between clinical factors and renal function decline under different MetS statuses. Smooth curve fitting further addressed the role of serum uric acid, illustrating the vital turning point of uric acid levels in the background of renal function deterioration. Results: Of all groups of MetS states, the new-onset MetS showed the most significant eGFR decline, with a 6.66 ± 8.21 mL/min/1.73 m Conclusion: Metabolic syndrome demonstrated a solid correlation with the progression of renal function, particularly in those with newly-onset MetS status. In addition to the diagnostic components of MetS, hyperuricemia could be used as a marker to identify the high risk of accelerating eGFR decline early. Furthermore, we suggested a potential renal benefit for the newly-onset MetS population when maintaining their serum uric acid level below the criteria for asymptomatic hyperuricemia.

Indexed as

HyperuricemiaMetabolic SyndromeCohort StudiesHumansKidneyUric AcidUric Acidchronic kidney diseasediabetes mellitushypertensionhyperuricemiametabolic syndromeobesity

Identifiers

PMID38370360
PMCPMC10869501

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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.