Evidence mapPaperPMID 39430136Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2024

Association Between Metabolic Syndrome and the Size of Renal Cysts: A Cross-Sectional Study.

Biao Tao, Dian Gu, Kai Wang, Yinan Li, Xianlin Xu, Jiexun Chen

Abstract read
In one paragraph

Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2024. 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

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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.

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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

6 authors.

Biao Tao *Department of Urology, Sir Run Run Hospital, Nanjing Medical University, Nanjing, Jiangsu Province, 211100, People's Republic of China.
Dian Gu *Department of Urology, Sir Run Run Hospital, Nanjing Medical University, Nanjing, Jiangsu Province, 211100, People's Republic of China.
Kai Wang *Department of Urology, Sir Run Run Hospital, Nanjing Medical University, Nanjing, Jiangsu Province, 211100, People's Republic of China.
Yinan LiDepartment of Urology, Sir Run Run Hospital, Nanjing Medical University, Nanjing, Jiangsu Province, 211100, People's Republic of China.
Xianlin XuDepartment of Urology, Sir Run Run Hospital, Nanjing Medical University, Nanjing, Jiangsu Province, 211100, People's Republic of China.
Jiexun ChenDepartment of Urology, Sir Run Run Hospital, Nanjing Medical University, Nanjing, Jiangsu Province, 211100, People's Republic of China.ORCID 0009-0009-6335-3552

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: Metabolic syndrome (MetS) is associated with the development of several diseases. However, the correlation between MetS and size of renal cysts remains unclear. This research aims to explore the potential connection between them, offering theoretical guidance for clinical prevention and treatment of renal cysts. Methods: A total of 467 patients diagnosed with renal cysts and admitted to Sir Run Run Hospital, Nanjing Medical University from September 2019 to September 2020 were eventually included in this study. They were divided into the small cyst group (cyst volume≤1.5cm³) and the large cyst group (cyst volume>1.5cm³) based on the median value of cyst volume. Multivariate logistic regression analysis was used to evaluate the association between MetS and size of renal cysts. Results: Our results indicated that MetS (OR 1.941, 95% CI 1.286-2.927, Conclusion: Our study reveals the association between MetS and the size of renal cysts. Patients with MetS are more likely to have larger renal cysts. The administration of MetS may help limit the development of renal cysts. Further prospective studies are needed to explore the causal relationship between MetS and renal cysts.

Indexed as

metabolic diseasemetabolic syndromerenal cystsize of renal cysts

Identifiers

PMID39430136
PMCPMC11491088

What Socratic holds

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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 Socratic graph.