Evidence map›Paper›PMID 42011028›Full record

ArticleImmunity, inflammation and disease2026

Can Blood Cell Count-Based Inflammatory Markers Reflect the Risk of Osteoporosis? A Cross-Sectional and Genetic Analysis.

Jie Jin, Cheng Yu, Feng Chen, Jiajun Li, Yue Zhu, Yi Gao, Jingyi Wang, Feitian Ni, Ruotong Yao, Siyao Chen and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Immunity, inflammation and disease, 2026. 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

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

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

14 authors.

Jie JinDepartment of Acupuncture and Moxibustion, Tongde Hospital of Zhejiang Province, Hangzhou, China.
Cheng YuDepartment of Orthopedics, Tongde Hospital of Zhejiang Province, Hangzhou, China.
Feng ChenThe Second School of Medicine, Wenzhou Medical University, Wenzhou, China.
Jiajun LiThe Second School of Medicine, Wenzhou Medical University, Wenzhou, China.
Yue ZhuSchool of Public Health, Wenzhou Medical University, Wenzhou, China.
Yi GaoSchool of Public Health, Wenzhou Medical University, Wenzhou, China.
Jingyi WangThe Second Affiliated College, Zhejiang Chinese Medical University, Hangzhou, China.
Feitian NiThe Second Affiliated College, Zhejiang Chinese Medical University, Hangzhou, China.
Ruotong YaoThe First School of Medicine, School of Information and Engineering, Wenzhou Medical University, Wenzhou, China.
Siyao ChenThe First School of Medicine, School of Information and Engineering, Wenzhou Medical University, Wenzhou, China.
Bohuai YuThe First School of Medicine, School of Information and Engineering, Wenzhou Medical University, Wenzhou, China.
Yangguang LuThe First School of Medicine, School of Information and Engineering, Wenzhou Medical University, Wenzhou, China.ORCID https://orcid.org/0009-0005-5327-3963
Kai HuangDepartment of Orthopedics, Tongde Hospital of Zhejiang Province, Hangzhou, China.ORCID https://orcid.org/0000-0002-3932-6636
Kaiting WuMedical Comprehensive Ward, Xianlin Campus, Tongde Hospital of Zhejiang Province, Hangzhou, China.

Funding

National Health Commission Scientific Research Fund - Major Health Science and Technology Plan of Zhejiang Province WKJ-ZJ-2419Zhejiang Province Traditional Chinese Medicine Science and Technology Plan Project 2023ZL025
6 · The paper itself

Abstract

backgroundOsteoporosis (OP) is characterized by reduced bone mineral density and bone structural deterioration, with a growing global prevalence. This study aims to explore the relationship between systemic inflammatory markers (SII, SIRI, AISI) and OP risk, and to assess their causal effects using genetic methods.

methodsA cross-sectional analysis was conducted using data from 8,070 eligible participants. The relationships between SII, SIRI, AISI, bone mineral density, and OP risk were assessed through weighted multivariable regression and smooth curve fitting. Subgroup analyses examined the moderating effects of factors such as BMI and alcohol consumption. Mendelian randomization analysis was also performed using GWAS data to explore the causal relationship between blood cell counts and OP.

resultsElevated levels of SII, SIRI, and AISI were significantly associated with decreased bone mineral density and increased OP risk, with these associations remaining significant after adjusting for various confounders. Subgroup analyses revealed that the association between SII and OP was more pronounced in individuals with low BMI and those who consumed alcohol. Genetic analysis further provided evidence supporting that higher levels of specific blood cells, such as platelets and eosinophils, serve as causal factors contributing to increased OP risk.

conclusionsThis study demonstrates that SII, SIRI, and AISI, as reliable indicators of systemic inflammation, can effectively predict OP risk, particularly in populations with low BMI and those who consume alcohol. These inflammatory markers may serve as tools for early OP screening and offer new insights for personalized prevention and intervention strategies.

Indexed as

BiomarkersInflammationOsteoporosisAgedBlood Cell CountBone DensityCross-Sectional StudiesFemaleGenome-Wide Association StudyHumansMaleMendelian Randomization AnalysisMiddle AgedRisk FactorsBiomarkersblood cell countcross‐sectional studygeroscienceinflammatory markersMendelian randomizationosteoporosis

Identifiers

PMID42011028
PMCPMC13096732

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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.