Evidence map›Paper›PMID 39734822›Full record

ArticleWorld journal of cardiology2024

Role of a new inflammation predictor in predicting recurrence of atrial fibrillation after radiofrequency catheter ablation.

Yu-Jie Wang, Ke-Sen Liu, Xiang-Jiang Meng, Xue-Fu Han, Lu-Jing Nie, Wen-Jiu Feng, Yan-Bo Chen

Abstract read
In one paragraph

Article in World journal of cardiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

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

  1. Pooled it
  2. Inflammatory markers and atrial fibrillation recurrence in patients with atrial fibrillation after cryoballoon ablation.Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing · 2026
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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

7 authors.

Yu-Jie WangDepartment of Cardiology, Changle People's Hospital, Shandong Second Medical University Affiliated Hospital, Weifang 261000, Shandong Province, China.
Ke-Sen LiuDepartment of Arrhythmia, Weifang People's Hospital, Weifang 261000, Shandong Province, China.
Xiang-Jiang MengDepartment of Cardiology, Changle People's Hospital, Shandong Second Medical University Affiliated Hospital, Weifang 261000, Shandong Province, China.
Xue-Fu HanDepartment of Arrhythmia, Weifang People's Hospital, Weifang 261000, Shandong Province, China.
Lu-Jing NieDepartment of Arrhythmia, Weifang People's Hospital, Weifang 261000, Shandong Province, China.
Wen-Jiu FengDepartment of Arrhythmia, Weifang People's Hospital, Weifang 261000, Shandong Province, China.
Yan-Bo ChenDepartment of Arrhythmia, Weifang People's Hospital, Weifang 261000, Shandong Province, China. hhg1020172021@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRadiofrequency catheter ablation (RFCA) has become an important strategy for treating atrial fibrillation (AF), and postoperative recurrence represents a significant and actively discussed clinical concern. The recurrence after RFCA is considered closely related to inflammation. Systemic immune inflammation index (SII) is a novel inflammation predictor based on neutrophils, platelets, and lymphocytes, and is considered a biomarker that comprehensively reflects the immune inflammatory status of the body.

aimTo explore the predictive effect of the SII on AF recurrence after RFCA and its predictive value in combination with the existing APPLE score for AF recurrence after RFCA in patients with non-valvular AF (NVAF).

methodsWe retrospectively included 457 patients with NVAF first receiving RFCA and classified them into the recurrent or non-recurrent group. We also investigated the predictive role of SII on AF recurrence following RFCA. Finally, we explored and compared the additional predictive value of the SII after combining with the APPLE score.

resultsAfter 12 months of follow-up, 113 (24.7%) patients experienced recurrence. High SII has been demonstrated to be an independent predictor for postoperative AF recurrence. Receiver operating characteristic and decision curve analysis (DCA), as well as net reclassification improvement (NRI) and integrated discrimination improvement (IDI) results, showed that SII combined with the APPLE score had higher predictive efficiency than using the SII or APPLE score alone. The area under the curve of the combined model (0.662, 95% confidence interval: 0.602-0.722) significantly increased compared with that of the SII and APPLE scores alone (

conclusionThe SII was a predictor of recurrence after RFCA of AF. Moreover, the SII enhanced the predictability of the APPLE score for post-RFCA AF recurrence, providing valuable insights for physicians to optimise patient selection and develop personalised treatment plans.

Indexed as

APPLE scoreAtrial fibrillationRadiofrequency catheter ablationRecurrenceSystemic immune inflammation index

Identifiers

PMID39734822
PMCPMC11669979

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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.