Evidence map›Paper›PMID 38097927›Full record

ArticleBMC cardiovascular disorders2023

The association between systemic inflammation markers and the prevalence of hypertension.

Nake Jin, Lei Huang, Jun Hong, Xuechen Zhao, Jianan Hu, Shanshan Wang, Xudong Chen, Jiacheng Rong, Yingjie Lu

Abstract read
In one paragraph

Article in BMC cardiovascular disorders, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

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  12. Cytotoxic T Cells: Kill, Memorize, and Mask to Maintain Immune Homeostasis.International journal of molecular sciences · 2025
    Review
  13. Towards an estimate of the impact of censorship on biomedical literature.Journal of the American Medical Informatics Association : JAMIA · 2025
    Article
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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

9 authors.

Nake JinDepartment of Cardiology, Ningbo Hangzhou Bay Hospital, Ningbo, 315336, China.
Lei HuangDepartment of Cardiology, Ningbo Hangzhou Bay Hospital, Ningbo, 315336, China. huanglei6854@outlook.com.
Jun HongDepartment of Cardiology, Ningbo Hangzhou Bay Hospital, Ningbo, 315336, China.
Xuechen ZhaoDepartment of Cardiology, Ningbo Hangzhou Bay Hospital, Ningbo, 315336, China.
Jianan HuDepartment of Cardiology, Ningbo Hangzhou Bay Hospital, Ningbo, 315336, China.
Shanshan WangDepartment of Cardiology, Ningbo Hangzhou Bay Hospital, Ningbo, 315336, China.
Xudong ChenDepartment of Cardiology, Ningbo Hangzhou Bay Hospital, Ningbo, 315336, China.
Jiacheng RongDepartment of Cardiology, Ningbo Hangzhou Bay Hospital, Ningbo, 315336, China.
Yingjie LuDepartment of Cardiology, Ningbo Hangzhou Bay Hospital, Ningbo, 315336, China.

Funding

Ningbo Hangzhou Bay Hospital Set Sail Talent Program WY-KJ-QH-202105Ningbo Medical Science and Technology 2019Y26
6 · The paper itself

Abstract

backgroundWe conducted a large-scale epidemiological analysis to investigate the associations between systemic inflammation markers and hypertension prevalence. Our aim is to identify potential biomarkers for early detection of hypertension.

methodsA cross-sectional study with 119664 individuals from the National Health and Nutrition Examination Survey was performed. We investigated the associations between three systemic inflammation markers, namely the systemic immune inflammation index (SII), system inflammation response index (SIRI), and aggregate index of systemic inflammation (AISI), and the prevalence of hypertension.

resultsThe prevalence rates of hypertension gradually increased with increasing logSII, logSIRI, and logAISI quartiles. In continuous analyses, each unit increase in logSII, logSIRI, and logAISI was associated with a 20.3%, 20.1%, and 23.7% increased risk of hypertension. Compared to those in the lowest quartiles, the hypertension risks for subjects in the highest logSII, logSIRI, and logAISI quartiles were 1.114-fold,1.143-fold, and 1.186-fold. The restricted cubic splines (RCS) analysis revealed a non-linear relationship between the elevation of systemic inflammation markers and hypertension prevalence. Specifically, a per standard deviation increase in any of these variables is associated with a respective 9%, 16%, and 11% increase in hypertension prevalence.

conclusionOur cross-sectional study reveals significant positive correlations between SII, SIRI, and AISI with the prevalence of hypertension.

Indexed as

HypertensionCross-Sectional StudiesHumansInflammationNutrition SurveysPrevalenceAggregate index of systemic inflammationHypertensionSystemic immune inflammation indexSystemic inflammation markersSystem inflammation response index

Identifiers

PMID38097927
PMCPMC10720087

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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.