Evidence map›Paper›PMID 41552312›Full record

ArticleAmerican journal of translational research2025

Association between red blood cell distribution width to albumin ratio and prostate specific antigen based on NHANES data.

Zhe Yang, Meihui Zhang, Lulu Liu, Xiaomei Qiu, Yitong Shi, Nuo Li, Haoyong Ning

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Article in American journal of translational research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Zhe YangThe Second School of Clinical Medicine, Southern Medical University Guangzhou 510515, Guangdong, China.
Meihui ZhangDepartment of Pathology, Hainan Hospital of Chinese People's Liberation Army (PLA) General Hospital Sanya 572013, Hainan, China.
Lulu LiuDepartment of Pathology, Hainan Hospital of Chinese People's Liberation Army (PLA) General Hospital Sanya 572013, Hainan, China.
Xiaomei QiuDepartment of Pathology, Hainan Hospital of Chinese People's Liberation Army (PLA) General Hospital Sanya 572013, Hainan, China.
Yitong ShiDepartment of Pathology, Hainan Hospital of Chinese People's Liberation Army (PLA) General Hospital Sanya 572013, Hainan, China.
Nuo LiDepartment of General Medicine, Fenghuang Health Center Tianya District, Sanya 572023, Hainan, China.
Haoyong NingDepartment of Pathology, Hainan Hospital of Chinese People's Liberation Army (PLA) General Hospital Sanya 572013, Hainan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As the most common cancer in men in the United States, risk factors for prostate cancer (PCa) need to be identified. Serum prostate specific antigen (PSA) levels are used for the screening of prostate cancer due to its association with the disease. Investigations have indicated that the risk of prostate cancer determined based on PSA can be further stratified on the basis of total PSA (tPSA) and f/t PSA. Further, the red blood cell distribution width-to-albumin ratio (RAR) has recently been identified as a novel biomarker for multiple inflammatory diseases. The relationship between RAR and PSA remains unclear. Here, we intended to study the association between RAR and PSA. National Health and Nutrition Examination Surveys (NHANES) represents a cross-sectional observational study within the United States. We obtained clinical data throughout the 2003 - 2010 NHANES study period. In 41,156 NHANES men, we selected 5,992 men aged 40 years or older. Missing data were imputed using multiple imputation. The association between RAR and PSA was assessed using multivariable adjusted linear regression analysis. Variance inflation factor (VIF) values were also calculated to exclude collinearity of independent variables. The association of the threshold effects was assessed using inflection points. The effect of RAR levels on PSA was significant in 5,992 subjects after adjusting the confounders (β = 1.13, 95% CI: 0.59-1.67). The notion of a threshold level was supported by the presence of inflection point at RAR = 3.762. The effect of a 1 unit increase in the RAR was a consistently increasing function of quartile of RAR. For instance, in the highest quartile of RAR, if RAR rises by 1 unit, PSA rises by 1.36 (β = 1.36, 95% CI: 0.90-1.83), suggesting a non-linearity of the two. For example, when RAR is below 3.762, higher RAR levels seem associated with higher PSA levels. This is important for understanding the factors that may play an important role in the occurrence and development of prostate cancer. Future studies must do assessments of prostate cancer incidence within the cohorts described.

Indexed as

cross-sectional studyNHANESPSARAR

Identifiers

PMID41552312
PMCPMC12808025

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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.