Evidence map›Paper›PMID 41398796›Full record

Observational studyMedicine2025

Association between albumin-related inflammatory biomarkers and breast cancer risk: A secondary analysis of NHANES 1998-2018.

Yuhang Shang, Yunqiang Duan, Jiangwei Liu, Runze Guo, Zhengbo Fang, Fei Ma, Baoliang Guo

Abstract readObservational Study
In one paragraph

Observational study in Medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Yuhang ShangDepartment of General Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Yunqiang DuanDepartment of General Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Jiangwei LiuDepartment of General Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Runze GuoHarbin Medical University, Harbin, China.
Zhengbo FangDepartment of General Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Fei MaDepartment of General Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Baoliang GuoDepartment of General Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.ORCID 0000-0002-4022-6739

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer (BC) is a leading cause of cancer-related mortality among women globally. Inflammation and nutritional status play critical roles in BC development and progression. Albumin-related inflammatory biomarkers, which reflect both inflammatory and nutritional status, have been increasingly recognized as important indicators in cancer initiation and progression. However, their role in BC risk remains largely unexplored. This study aimed to investigate the association between albumin-related inflammatory biomarkers and BC risk. Female' data within the age range of 20 to 80 from the National Health and Nutrition Examination Survey (1998-2018) were extracted. Weighted logistic regression and restricted cubic spline regression analyses were performed to explore the association between 4 albumin-related inflammatory biomarkers (neutrophil percentage-to-albumin ratio [NPAR], lymphocyte-to-albumin ratio [LYAR], leukocyte-to-albumin ratio, and platelet-to-albumin ratio) and BC risk. Subgroup analyses were conducted to assess the influence of covariates, and sensitivity analyses were performed to ensure the robustness of the findings. Among 14,211 female participants, 357 were diagnosed with BC. A linear positive relationship was observed between NPAR and BC (odds ratio = 1.08; 95% confidence interval: 1.02-1.14; P = .008), with participants in the highest quartile of NPAR exhibiting a significantly increased risk compared to those in the lowest quartile (odds ratio = 1.60; 95% confidence interval: 1.05-2.44; P for trend = 0.016). In contrast, LYAR demonstrated a nonlinear protective association with BC (P for overall < .001; P for nonlinear < .001), with higher levels linked to reduced risk. Leukocyte-to-albumin ratio and platelet-to-albumin ratio were not significantly associated with BC. Findings from subgroup and sensitivity analyses were consistent with the main findings. Our study highlighted the potential role of NPAR and LYAR in BC risk assessment. They may serve as available and cost-effective tools for identifying high-risk individuals and facilitating early intervention. Further studies are warranted to evaluate the potential of albumin-related inflammatory biomarkers in the early diagnosis of BC.

Indexed as

Breast NeoplasmsInflammationSerum AlbuminAdultAgedAged, 80 and overBiomarkersCross-Sectional StudiesFemaleHumansMiddle AgedNeutrophilsNutritional StatusNutrition SurveysRisk FactorsYoung AdultBiomarkersSerum Albuminalbumin-related inflammatory biomarkersbreast cancerLYARNHANESNPAR

Identifiers

PMID41398796
PMCPMC12708113

What Socratic holds

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LicenceCC BY-NC
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Registered trials

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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.