Evidence map›Paper›PMID 38107387›Full record

ArticleJournal of inflammation research2023

Platelet-to-Lymphocyte Ratio Improves the Predictive Ability of the Risk Score for Atrial Fibrillation Recurrence After Radiofrequency Ablation.

Wenchao Huang, Huaxin Sun, Yan Tang, Yan Luo, Hanxiong Liu

Open access · goldAbstract read
In one paragraph

Article in Journal of inflammation research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 8% of its field
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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. The relationship between systemic immune-inflammation index and recurrence after cryoballoon ablation for paroxysmal atrial fibrillation.Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing · 2025
    Article
  6. Evaluation of CHAJournal of clinical medicine · 2025
    Article
  7. Article
  8. Platelet-to-Lymphocyte Ratio as a Predictor of Atrial Fibrillation in STEMI Patients.Medical science monitor : international medical journal of experimental and clinical research · 2025
    Observational
  9. Article
  10. Article
  11. Article
  12. Review
  13. 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

5 authors at 1 institution in 1 country.

Wenchao Huang *Department of Cardiology, The Third People's Hospital of Chengdu, College of Medicine, Southwest Jiaotong University, Chengdu, Sichuan, 610031, People's Republic of China.ORCID 0000-0003-0991-0441
Huaxin Sun *Department of Cardiology, The Third People's Hospital of Chengdu, College of Medicine, Southwest Jiaotong University, Chengdu, Sichuan, 610031, People's Republic of China.
Yan Tang *Department of Cardiology, The Third People's Hospital of Chengdu, College of Medicine, Southwest Jiaotong University, Chengdu, Sichuan, 610031, People's Republic of China.
Yan LuoDepartment of Cardiology, The Third People's Hospital of Chengdu, College of Medicine, Southwest Jiaotong University, Chengdu, Sichuan, 610031, People's Republic of China.
Hanxiong LiuDepartment of Cardiology, The Third People's Hospital of Chengdu, College of Medicine, Southwest Jiaotong University, Chengdu, Sichuan, 610031, People's Republic of China.
Third People's Hospital of Chengdu · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To investigate the effect and comprehensive predictive value of the platelet-to-lymphocyte ratio (PLR) for long-term recurrence in patients with atrial fibrillation (AF) post ablation. Patients and Methods: We retrospectively analysed 638 consecutive AF patients who underwent ablation, including 302 (47.3%) with paroxysmal AF and 336 (52.7%) with nonparoxysmal AF. Patients were grouped into the recurrence and nonrecurrence groups. Results: After a mean follow-up of 15.1±9.3 months, 175 patients (27.4%) with AF had long-term recurrence, including 114 patients (33.9%) with nonparoxysmal AF and 61 patients (20.2%) with paroxysmal AF. In the entire cohort and in patients with nonparoxysmal AF, but not in those with paroxysmal AF, the PLR was significantly higher in the recurrence group than in the nonrecurrence group (P<0.05). After adjusting for the APPLE score, the PLR as a continuous variable independently predicted AF recurrence (hazard ratio [HR], 1.003; 95% confidence interval [CI], 1.001-1.005; P<0.01). The addition of the PLR to the APPLE score improved its predictive ability for recurrence (the C-statistic value increased from 0.645 to 0.675, P=0.02; the net reclassification improvement was 0.221, 95% CI 0.049-0.394, P=0.01; and the integrated discrimination improvement was 0.029, 95% CI 0.013-0.045, P<0.01). For nonparoxysmal AF, the PLR was stratified into tertiles, the PLR independently increased the nonparoxysmal AF recurrence risk after adjusting for multiple confounding factors (HR, 1.393; 95% CI, 1.102-1.762; P<0.01), and the addition of the PLR to the left atrial diameter improved its predictive ability for arrhythmia recurrence (the C-statistic value increased from 0.601 to 0.667, P<0.01). Conclusion: The PLR is an independent predictive factor of long-term AF recurrence post ablation after adjusting for the APPLE score and can improve the predictive ability and clinical usefulness of the APPLE score. However, the PLR is an effective predictor of recurrence in patients with nonparoxysmal AF rather than in paroxysmal AF.

Indexed as

ablationatrial fibrillationinflammationplatelet-to-iymphocyte ratioprediction modelrecurrence

Identifiers

PMID38107387
PMCPMC10723594
OpenAlexW4389569533

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.