Evidence map›Paper›PMID 41187199›Full record

ArticlePloS one2025

The relationship between the neutrophil percentage to albumin ratio and the occurrence of prostate cancer.

Ping Kong, Lei Yang, Haibing Wang, Zhiqi Liu, Zhiqiang Zhang

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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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

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3 · Its place in the literature

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No citing paper in PubMed yet.

4 · The record

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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.

Ping KongDepartment of Urology, Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
Lei YangDepartment of Urology, Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
Haibing WangDepartment of Urology, Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
Zhiqi LiuDepartment of Urology, Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
Zhiqiang ZhangDepartment of Urology, Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.ORCID https://orcid.org/0009-0003-8670-6871

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough prior research has indicated that nutritional and inflammatory markers may play a role in prostate cancer development, the exact interplay and underlying mechanisms are not yet fully understood. MATERIALS AND

methodsThe study population comprised 16,481 males from the NHANES database, after excluding participants with missing covariates. The Neutrophil Percentage-to-Albumin Ratio (NPAR) was used to assess the inflammation and nutritional status. Statistical methods such as multivariable logistic regression, eXtreme Gradient Boosting model, subgroup analysis, and Generalized Additive Model were used to analyze the relationship between NPAR and prostate cancer prevalence.

resultsThe restricted cubic splines of the independent variable NPAR and the dependent variable (prostate cancer prevalence) were statistically significant based on the logistic regression analysis. The eXtreme Gradient Boosting machine learning model identified the NPAR and age as the most influential variables for prostate cancer. Subgroup analysis revealed significant correlations between the NPAR and age, race, and smoking status. Clinical validation has confirmed the diagnostic significance of NPAR in prostate cancer.

conclusionA positive correlation was observed between NPAR and prostate cancer prevalence, indicating the potential mechanism of developing the disease. However, due to the cross-sectional design and self-reported cancer diagnoses in the NHANES database, causality cannot be established.

Indexed as

NeutrophilsProstatic NeoplasmsSerum AlbuminAdultAgedCross-Sectional StudiesHumansMaleMiddle AgedNutrition SurveysPrevalenceSerum Albumin

Identifiers

PMID41187199
PMCPMC12585082

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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.