Evidence map›Paper›PMID 40289098›Full record

ArticleBMC gastroenterology2025

Platelet-to-high-density lipoprotein ratio (PHR) as a predictive biomarker for gastrointestinal cancers: evidence from NHANES.

Yan Tong, Xiaojun Lou

Abstract read
In one paragraph

Article in BMC gastroenterology, 2025. 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

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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

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

2 authors.

Yan TongZhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Xiaojun LouDepartment of Gastroenterology, Jiaxing Hospital of Traditional Chinese Medicine, Jiaxing, Zhejiang, China. lou.xj.01@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGastrointestinal (GI) cancers, including gastric, colorectal, and esophageal cancers, pose a significant global health burden. Despite advancements in diagnostic tools, early detection remains challenging, particularly in low-resource settings. Emerging evidence highlights the platelet-to-high-density lipoprotein ratio (PHR) as a novel biomarker integrating systemic inflammation and lipid metabolism. However, its association with GI cancer risk remains underexplored.

methodsThis study utilized data from the National Health and Nutrition Examination Survey (NHANES) from 2010 to 2018, comprising 19,388 participants, including 230 with GI cancers. PHR was calculated as the ratio of platelet count to high-density lipoprotein cholesterol levels and categorized into quartiles. Weighted logistic regression models, restricted cubic spline analysis, and subgroup analyses were employed to evaluate the association between PHR and GI cancer risk, adjusting for demographic, socioeconomic, lifestyle, and clinical factors.

resultsElevated PHR was independently associated with an increased risk of GI cancers. Participants in the highest PHR quartile exhibited a significantly higher risk (adjusted OR = 3.09; 95% CI: 2.16-4.43) compared to the lowest quartile. A dose-response relationship was observed, with two critical inflection points at PHR values of 3.2 and 4.5. Subgroup analyses revealed stronger associations among older adults, males, and obese individuals. The findings suggest that PHR may reflect the dynamic balance of systemic inflammation and lipid metabolism, contributing to tumorigenesis.

conclusionThis study identifies PHR as a promising, cost-effective biomarker for early detection and risk stratification of GI cancers. Its integration into screening programs could improve precision medicine strategies by identifying high-risk individuals for early intervention. Further longitudinal and mechanistic studies are warranted to confirm these findings and explore the underlying biological mechanisms.

Indexed as

Biomarkers, TumorGastrointestinal NeoplasmsLipoproteins, HDLAdultAgedBiomarkersEarly Detection of CancerFemaleHumansMaleMiddle AgedNutrition SurveysPlatelet CountPredictive Value of TestsRisk FactorsUnited StatesBiomarkersBiomarkers, TumorLipoproteins, HDLCancer screeningDose-response relationshipGastrointestinal cancersLipid metabolismNHANESPlatelet-to-high-density lipoprotein ratio (PHR)

Identifiers

PMID40289098
PMCPMC12036308

What Socratic holds

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LicenceCC BY-NC-ND
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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.