Evidence map›Paper›PMID 41230164›Full record

ArticleTranslational andrology and urology2025

Associations between metabolic obesity phenotypes and prostate cancer in the U.S. population: a cross-sectional study.

Xuefeng Lu, Yanyan Wang, Zhichang Jin, Xiaodong Chen, Cheng Fang

Abstract read
In one paragraph

Article in Translational andrology and urology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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

5 authors.

Xuefeng LuDepartment of Urology, Ningbo Urology & Nephrology Hospital, Ningbo, China.
Yanyan WangElectrocardiogram Department, Ningbo Urology & Nephrology Hospital, Ningbo, China.
Zhichang JinDepartment of Urology, Ningbo Urology & Nephrology Hospital, Ningbo, China.
Xiaodong ChenDepartment of Urology, Ningbo Urology & Nephrology Hospital, Ningbo, China.
Cheng FangDepartment of Urology, Ningbo Urology & Nephrology Hospital, Ningbo, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Metabolic obesity phenotypes have been identified as predictive factors for various cancers. This study aimed to investigate the association between metabolic obesity phenotypes and prostate cancer (PCa) among the U.S. population aged ≥50 years. Methods: This cross-sectional study analyzed data from the National Health and Nutrition Examination Survey 1999-2018. Participants were categorized into four groups: metabolically healthy non-obese (MHNO), metabolically healthy obese (MHO), metabolically unhealthy non-obese (MUNO), and metabolically unhealthy obese (MUO). Weighted multivariable logistic regression was used to identify groups with a higher prevalence of PCa, and subgroup analyses were conducted based on age. Results: The median age of the participants was 64 years. No significant differences in PCa prevalence were found between the obese and non-obese groups (P=0.33). In the younger population (50 to 64 years old), metabolic abnormalities such as hyperglycemia (P=0.004) and hypertension (P<0.001) was strongly correlated with an increased PCa prevalence. Individuals with MUNO [odds ratio (OR) =3.179; 95% confidence interval (CI): 1.449-6.974] and those with MUO (OR =4.345; 95% CI: 2.076-9.093) were significantly associated with higher PCa prevalence. No significant differences in PCa prevalence were found between the MHNO and MHO groups, or between the MUNO and MUO groups. In the older population (age ≥65 years), no association was found between metabolic obesity phenotypes and PCa prevalence. Conclusions: Metabolic abnormalities play a more critical role than obesity alone in determining PCa prevalence, particularly among individuals aged 50 to 64 years old.

Indexed as

metabolic abnormalitiesmetabolic obesity phenotypesObesityprostate cancer (PCa)

Identifiers

PMID41230164
PMCPMC12603847

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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.