Evidence mapPaperPMID 39720251Full record

ArticleFrontiers in endocrinology2024

Associations of systemic inflammation and systemic immune inflammation with serum uric acid concentration and hyperuricemia risk: the mediating effect of body mass index.

Yueyue Zhang, Shichao Han, Zhizhou Duan, Xu Tian, Xueyi Li, Guangdong Hou, Xuelin Gao, Chunjuan Tian, Xiangyu Li, Wenyuan Yu and 3 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 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. 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

13 authors.

Yueyue Zhang *Department of Urology, Xijing Hospital, Air Force Medical University, Xi'an, China.
Shichao Han *Department of Urology, Xijing Hospital, Air Force Medical University, Xi'an, China.
Zhizhou Duan *Preventive Health Service, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi, China.
Xu TianDepartment of Radiology, Baoshi Flower Changqing Hospital, Xi'an, China.
Xueyi LiDepartment of Radiology, Baoshi Flower Changqing Hospital, Xi'an, China.
Guangdong HouDepartment of Urology, Xijing Hospital, Air Force Medical University, Xi'an, China.
Xuelin GaoDepartment of Urology, Xijing Hospital, Air Force Medical University, Xi'an, China.
Chunjuan TianDepartment of Urology, Xijing Hospital, Air Force Medical University, Xi'an, China.
Xiangyu LiShanghai Tenth People's Hospital, Tongji University, Shanghai, China.
Wenyuan YuSchool & Hospital of Stomatology, Wuhan University, Wuhan, China.
Qin ZhouKey Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, College of Stomatology, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Zhiping NiuDepartment of Environmental Health, School of Public Health, Fudan University, Shanghai, China.
Fuli WangDepartment of Urology, Xijing Hospital, Air Force Medical University, Xi'an, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: With the development of lifestyle, elevated uric acid and hyperuricemia have become important factors affecting human health, but the biological mechanism and risk factors are still unclear. Methods: A multi-stage, cross-sectional study of 41,136 adults from the NHANES 2003-2018 was conducted. Serum uric acid concentrations, platelet, neutrophil, lymphocyte, and monocyte counts were measured. The systemic inflammation response (SIRI) index and systemic immune-inflammatory (SII) index were calculated to reflect systemic inflammation and systemic immune inflammation. The height and weight data were obtained to assess body mass index (BMI). Generalized linear models were used to examine the relationships of SIRI and SII with uric acid and hyperuricemia risk, as well as the associations of SIRI and SII with BMI, and BMI with uric acid and hyperuricemia risk. Causal mediation effect model was used to assess the mediating effect of BMI in the relationships of SIRI, and SII with uric acid concentration and hyperuricemia risk. Results: The prevalence of hyperuricemia in US adults is 19.78%. Positive associations were found in the relationships of SIRI and SII with uric acid level, hyperuricemia risk, and BMI, as well as the relationships of BMI with uric acid and hyperuricemia risk. Causal mediation effect model showed that BMI played an important mediating role in the relationships of SIRI, and SII with uric acid concentration and hyperuricemia risk, with the proportion of mediating effect ranging from 23.0% to 35.9%. Conclusion: Exposure to higher SIRI and SII is associated with increased uric acid concentration and hyperuricemia risk in adults, and BMI plays an important mediating effect. Reducing systemic inflammation and systemic immune inflammation and proper weight control could be effective ways to reduce hyperuricemia prevalence and related health problems.

Indexed as

Body Mass IndexHyperuricemiaInflammationUric AcidAdultAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedNutrition SurveysRisk FactorsUric Acidbody mass indexhyperuricemiamediation effect analysissystemic immuneinflammatorysystemic inflammatoryuric acid

Identifiers

PMID39720251
PMCPMC11667560

What Socratic holds

Textmetadata
LicenceCC BY
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.