Evidence map›Paper›PMID 34866581›Full record

SynthesisAnatolian journal of cardiology2021

Prognostic value of interleukin-6 in atrial fibrillation: A cohort study and meta-analysis.

Xiaoyue Jia, Xi Cheng, Na Wu, Ying Xiang, Long Wu, Bin Xu, Chengying Li, Zhihui Zhang, Shifei Tong, Li Zhong and 1 more

Open access · diamondAbstract readMeta-Analysis
In one paragraph

Synthesis in Anatolian journal of cardiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.3field-weighted citation impact, top 18% 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

11 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Review
  9. Review
  10. Review
  11. 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

11 authors at 3 institutions in 1 country.

Xiaoyue JiaDepartment of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University); Chongqing-People's Republic of China;Evidence-based Medicine and Clinical Epidemiology Center, Army Medical University (Third Military Medical University); Chongqing-People's Republic of China.
Xi ChengDepartment of Sciences-Education, Chongqing General Hospital, University of Chinese Academy of Sciences; Chongqing-People's Republic of China.
Na WuDepartment of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University); Chongqing-People's Republic of China;Evidence-based Medicine and Clinical Epidemiology Center, Army Medical University (Third Military Medical University); Chongqing-People's Republic of China.
Ying XiangDepartment of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University); Chongqing-People's Republic of China;Evidence-based Medicine and Clinical Epidemiology Center, Army Medical University (Third Military Medical University); Chongqing-People's Republic of China.
Long WuDepartment of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University); Chongqing-People's Republic of China;Evidence-based Medicine and Clinical Epidemiology Center, Army Medical University (Third Military Medical University); Chongqing-People's Republic of China.
Bin XuDepartment of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University); Chongqing-People's Republic of China;Evidence-based Medicine and Clinical Epidemiology Center, Army Medical University (Third Military Medical University); Chongqing-People's Republic of China.
Chengying LiDepartment of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University); Chongqing-People's Republic of China;Evidence-based Medicine and Clinical Epidemiology Center, Army Medical University (Third Military Medical University); Chongqing-People's Republic of China.
Zhihui ZhangDepartment of Cardiology, Southwest Hospital, Army Medical University (Third Military Medical University); Chongqing-People's Republic of China.
Shifei TongCardiovascular Disease Center, Third Affiliated Hospital of Chongqing Medical University; Chongqing-People's Republic of China.
Li ZhongCardiovascular Disease Center, Third Affiliated Hospital of Chongqing Medical University; Chongqing-People's Republic of China.
Yafei LiDepartment of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University); Chongqing-People's Republic of China;Evidence-based Medicine and Clinical Epidemiology Center, Army Medical University (Third Military Medical University); Chongqing-People's Republic of China.
Army Medical University · CNThird People 's Hospital of Chongqing · CNFirst People's Hospital of Chongqing · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe prognostic value of interleukin-6 (IL-6) in patients with atrial fibrillation (AF) has not been fully elucidated. Therefore, we conducted a cohort study and a meta-analysis to assess the predictive value of IL-6 for stroke and mortality in patients with AF.

methodsA cohort study was performed in newly diagnosed non-valvular patients with AF. A total of 217 patients with AF were followed up for a mean of 27 months. A multivariate Cox regression analysis was used to evaluate the association between IL-6 and stroke/all-cause mortality. The incremental value was also assessed by adding IL-6 to the CHA2DS2-VASc score. Besides, a meta-analysis of all reported cohort studies and our cohort study was conducted to validate the association of circulating IL-6 and stroke/mortality in patients with AF.

resultsOur cohort study showed that elevated plasma level of IL-6 was an independent risk factor for predicting stroke [hazard ratio (HR)=3.81; 95% confidence interval (CI), 1.11-13.05; p=0.033] and all-cause mortality (HR=3.11; 95% CI, 1.25-7.72; p=0.015) in patients with AF. Adding IL-6 levels to CHA2DS2-VASc score showed limited improvement of the predictive power for stroke [area under curve (AUC) from 0.81 to 0.88, p=0.006]. Meta-analysis confirmed that increased circulating level of IL-6 was significantly associated with increased risk of stroke (pooled HR=1.97; 95% CI, 1.22-3.17; p=0.006) and all-cause mortality (pooled HR=2.73; 95% CI, 2.29-3.25; p<0.001).

conclusionIncreased circulating level of IL-6 was significantly associated with greater risk of stroke and all-cause mortality in patients with AF. Adding IL-6 biomarker to the CHA2DS2-VASc score may help to determine the management of AF treatment.

Indexed as

Atrial FibrillationStrokeCohort StudiesHumansInterleukin-6Predictive Value of TestsPrognosisRetrospective StudiesRisk AssessmentRisk FactorsInterleukin-6

Identifiers

PMID34866581
PMCPMC8654009
OpenAlexW3217347798

What OpenQuestion holds

Textmetadata
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.