Evidence map›Paper›PMID 39090627›Full record

ArticleBMC endocrine disorders2024

Relationships between obesity and prevalence of gout in patients with type 2 diabetes mellitus: a cross-sectional population-based study.

Ningyu Cai, Mengdie Chen, Ping Feng, Qidong Zheng, Xianping Zhu, Suqing Yang, Zhaobo Zhang, Yiyun Wang

Abstract read
In one paragraph

Article in BMC endocrine disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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

8 authors.

Ningyu Cai *Department of Orthopedics, Taizhou Central Hospital (Taizhou University Hospital), Taizhou, China.
Mengdie Chen *Department of Endocrinology, Taizhou Central Hospital (Taizhou University Hospital), Taizhou, China.
Ping FengDepartment of Endocrinology, Taizhou Central Hospital (Taizhou University Hospital), Taizhou, China.
Qidong ZhengDepartment of Internal Medicine, Yuhuan Second People's Hospital, Yuhuan, China.
Xianping ZhuDepartment of Orthopedics, Taizhou Central Hospital (Taizhou University Hospital), Taizhou, China.
Suqing YangCustomer Service Center, Taizhou Central Hospital (Taizhou University Hospital), Taizhou, China.
Zhaobo ZhangDepartment of Orthopedics, Taizhou Central Hospital (Taizhou University Hospital), Taizhou, China.
Yiyun WangDepartment of Internal Medicine, Yuhuan Second People's Hospital, Yuhuan, China. 13676626318@163.com.

Funding

Medical Science and Technology Project of Zhejiang Province 2019ZH012Medical Science and Technology Project of Zhejiang Province 2022KY1402Public Welfare Foundation Project of Zhejiang Province LGF20H070005
6 · The paper itself

Abstract

backgroundThe purpose of this study was to investigate the relationships between generalized, abdominal, and visceral fat obesity and the prevalence of gout in patients with type 2 diabetes mellitus (T2DM).

methodsData were obtained from the electronic medical databases of the National Metabolic Management Center (MMC) of Yuhuan Second People's Hospital and Taizhou Central Hospital (Taizhou University Hospital) between September 2017 and June 2023. Four obesity indicators were analyzed: waist circumference (WC), waist-to-hip ratio (WHR), body mass index (BMI), and visceral fat area (VFA). The relationships between these parameters and gout prevalence were analyzed using multivariate logistic regression and restricted cubic spline (RCS) analyses. Receiver operating characteristic (ROC) curves were used to evaluate the diagnostic efficacy of the four parameters for gout.

resultsThis cross-sectional study enrolled 10,535 participants (600 cases and 9,935 controls). Obesity was more common in patients with gout, and the obesity indicators were markedly higher in this group. After adjustment for confounders, obesity, as defined by BMI, WC, WHR, and VFA, was found to be associated with greater gout prevalence, with odds ratios (OR) of 1.775, 1.691, 1.858, and 1.578, respectively (P < 0.001). The gout odds ratios increased markedly in relation to the obesity indicator quartiles (P-value for trend < 0.001), and the obesity indicators were positively correlated with gout prevalence, as shown using RCS. The area under the ROC curve values for BMI, WC, WHR, and VFA were 0.629, 0.651, 0.634, and 0.633, respectively.

conclusionObesity-whether general, abdominal, or visceral fat obesity-was positively linked with elevated gout risk. But uncovering the causality behind the relationship requires further prospective study. Obesity indicators (BMI, WC, WHR, and VFA) may have potential value for diagnosing gout in clinical practice.

Indexed as

Diabetes Mellitus, Type 2GoutObesityAdultAgedBody Mass IndexCase-Control StudiesChinaCross-Sectional StudiesFemaleHumansMaleMiddle AgedPrevalenceRisk FactorsWaist CircumferenceBody mass indexGoutObesityType 2 diabetes mellitusVisceral fat areaWaist circumferenceWaist-to-hip ratio

Identifiers

PMID39090627
PMCPMC11295670

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.