Evidence map›Paper›PMID 38961330›Full record

ArticleBMC cardiovascular disorders2024

The association between systemic inflammation markers and paroxysmal atrial fibrillation.

Xuechen Zhao, Lei Huang, Jianan Hu, Nake Jin, Jun Hong, Xudong Chen

Abstract read
In one paragraph

Article in BMC cardiovascular disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
–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

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Inflammation and day-to-day occurrence of atrial fibrillation.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2026
    Trial
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. A Review on the Role of Oral Bacteria in Stroke.International journal of molecular sciences · 2025
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. 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

6 authors.

Xuechen ZhaoDepartment of Cardiology, Ningbo Hangzhou Bay Hospital, 1155 Binhai 2nd Road, Hangzhou Bay New Area, Ningbo, 315336, China.
Lei HuangDepartment of Cardiology, Ningbo Hangzhou Bay Hospital, 1155 Binhai 2nd Road, Hangzhou Bay New Area, Ningbo, 315336, China. huanglei6854@outlook.com.
Jianan HuDepartment of Cardiology, Ningbo Hangzhou Bay Hospital, 1155 Binhai 2nd Road, Hangzhou Bay New Area, Ningbo, 315336, China.
Nake JinDepartment of Cardiology, Ningbo Hangzhou Bay Hospital, 1155 Binhai 2nd Road, Hangzhou Bay New Area, Ningbo, 315336, China.
Jun HongDepartment of Cardiology, Ningbo Hangzhou Bay Hospital, 1155 Binhai 2nd Road, Hangzhou Bay New Area, Ningbo, 315336, China.
Xudong ChenDepartment of Cardiology, Ningbo Hangzhou Bay Hospital, 1155 Binhai 2nd Road, Hangzhou Bay New Area, Ningbo, 315336, China.

Funding

Ningbo Hangzhou Bay Hospital Set Sail Talent Program WY-KJ-QH-202105Ningbo Public Welfare Science and Technology Project 2021S126Zhejiang Medical Association Clinical Research Fund Project 2021ZYC-A130
6 · The paper itself

Abstract

backgroundSystemic inflammation markers have recently been identified as being associated with cardiac disorders. However, limited research has been conducted to estimate the pre-diagnostic associations between these markers and paroxysmal atrial fibrillation (PAF). Our aim is to identify potential biomarkers for early detection of PAF.

methods91 participants in the PAF group and 97 participants in the non-PAF group were included in this study. We investigated the correlations 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 PAF.

resultsThe proportion of patients with PAF gradually increased with increasing logSII, logSIRI, and logAISI tertiles. Compared to those in the lowest tertiles, the PAF risks in the highest logSII and logSIRI tertiles were 3.2-fold and 2.9-fold, respectively. Conversely, there was no significant correlation observed between logAISI and PAF risk within the highest tertile of logAISI. The restricted cubic splines (RCS) analysis revealed a non-linear relationship between the elevation of systemic inflammation markers and PAF risk. Specifically, the incidence of PAF is respectively increased by 56%, 95%, and 150% for each standard deviation increase in these variables. The ROC curve analysis of logSII, logSIRI and logAISI showed that they had AUC of 0.6, 0.7 and 0.6, respectively. It also demonstrated favorable sensitivity and specificity of these systemic inflammation markers in detecting the presence of PAF.

conclusionsIn conclusion, our study reveals significant positive correlations between SII, SIRI, and AISI with the incidence of PAF.

Indexed as

Atrial FibrillationBiomarkersInflammationInflammation MediatorsPredictive Value of TestsAgedCase-Control StudiesEarly DiagnosisFemaleHumansIncidenceMaleMiddle AgedRisk AssessmentRisk FactorsBiomarkersInflammation MediatorsAggregate index of systemic inflammationParoxysmal atrial fibrillationSystemic immune inflammation indexSystemic inflammation markersSystem inflammation response index

Identifiers

PMID38961330
PMCPMC11223271

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.