Evidence map›Paper›PMID 41480424›Full record

SynthesisFrontiers in cardiovascular medicine2025

Association of inflammatory markers with clinical outcomes in atrial fibrillation: a meta-analysis.

Xiaomei Chen, Xuge Zhang, Xiang Fang, Shenghong Feng

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in cardiovascular medicine, 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

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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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

4 authors.

Xiaomei Chen *Department of Cardiology, Dazhou Second People's Hospital, Dazhou, Sichuan, China.
Xuge Zhang *Department of Otorhinolaryngology Head and Neck Surgery, Dazhou Second People's Hospital, Dazhou, Sichuan, China.
Xiang FangDepartment of Cardiology, Dazhou Second People's Hospital, Dazhou, Sichuan, China.
Shenghong FengDepartment of Cardiology, Dazhou Second People's Hospital, Dazhou, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Inflammatory markers are increasingly recognized as key contributors to the pathogenesis and progression of atrial fibrillation (AF). This meta-analysis aims to systematically assess the prognostic significance of various lymphocyte-based inflammation indices, including the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and systemic immune-inflammation index (SII) with clinical outcomes in AF. Methods: A comprehensive search was conducted in multiple databases until March 24, 2024. The included studies evaluated lymphocyte-based indices in relation to AF prognosis using a random-effects model. Weighted Mean Differences, Hazard ratios, and Odds Ratios with 95% Confidence Intervals were calculated. Subgroup and sensitivity analyses were performed, and evidence quality was assessed using the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) framework. Results: Twenty-one studies involving 63,687 patients with AF were included. Higher NLR was associated with increased risks of all-cause mortality (HR: 1.50, 95% CI: 1.16-1.92; Conclusion: Higher NLR shows an observational association with adverse outcomes in AF, but the certainty of evidence is low. Evidence for PLR and SII is extremely limited and inconsistent, precluding meaningful conclusions. Further large, well-designed prospective studies with standardized measurements are required. Systematic Review Registration: https://www.crd.york.ac.uk/PROSPERO/view/CRD42024540368, identifier CRD42024540368.

Indexed as

atrial fibrillationmeta-analysisneutrophil-to-lymphocyte ratioplatelet-to-lymphocyte ratiosystemic immune-inflammation index

Identifiers

PMID41480424
PMCPMC12753891

What Socratic holds

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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.