Evidence map›Paper›PMID 40189518›Full record

Observational studyBMC cardiovascular disorders2025

Clinical characteristics, adherence to anticoagulation therapy and prognosis in patients with atrial fibrillation: a real-life study.

Fenglin Qi, JiaCan Wu, Zhen Xia, Siyuan Xie, Xianya Chen, Huanjie Zheng, Zhuo Li, Naiyue Bao, Chengcheng Li, Hua Xiao

Abstract readObservational Study
In one paragraph

Observational study in BMC cardiovascular disorders, 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. Observational
  2. Article
  3. 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

10 authors.

Fenglin QiDepartment of Cardiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
JiaCan WuDepartment of Cardiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Zhen XiaDepartment of Cardiology, Chongqing Hechuan District People's Hospital, Chongqing, China.
Siyuan XieDepartment of Cardiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Xianya ChenDepartment of Cardiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Huanjie ZhengDepartment of Cardiology, Chengdu Second People's Hospital, Chengdu, China.
Zhuo LiDepartment of Cardiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Naiyue BaoDepartment of Cardiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Chengcheng LiDepartment of Cardiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Hua XiaoDepartment of Cardiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China. xiaoheart1974@163.com.

Funding

Natural Science Foundation of Chongqing Municipality CSTB2023NSCQ-MSX0491
6 · The paper itself

Abstract

backgroundAtrial fibrillation (AF) is a prevalent tachyarrhythmia, and a comprehensive understanding of its clinical features is essential for optimizing therapeutic management. However, the unregulated use of anticoagulants in AF remains a concern, as their efficacy and safety profiles are not yet fully understood.

methodsData from AF patients were collected in 2013, 2018, and 2023. First, cross-sectional data on AF patients were gathered during each period to longitudinally evaluate long-term trends in AF characteristics and the progression of anticoagulation therapy. Additionally, predictors of non-regulated dosing of oral anticoagulants (OAC) were analyzed. Second, patients with non-valvular atrial fibrillation (NVAF) were prospectively followed for 24 and 60 months with different NOAC doses to assess the risk of clinical outcome events and to analyze independent risk factors for clinical outcomes.

resultsThis study included 2825 AF patients, with 394 patients undergoing longitudinal follow-up. Paroxysmal AF (49.70%) and non-valvular atrial fibrillation (NVAF) (86.30%) were the most prevalent forms with advanced age being a prominent characteristic. Independent predictors of unregulated NOAC use included age, renal insufficiency, BMI, diabetes, hypertension, and bleeding risk. At the 24-month follow-up, patients who received overdosed NOAC exhibited a higher mortality rate compared to those who were inappropriately underdosed (18.75 vs.10.92 events/patient-year, P = 0.017). At the 60-month follow-up, both all-cause mortality (10.00 vs. 6.49 events per patient-year, P = 0.019; 10.00 vs. 6.21 events per patient-year, P = 0.005) and the composite endpoint event rate (12.50 vs. 9.61 events per patient-year, P = 0.017; 12.50 vs. 9.32 events per patient-year, P = 0.013) were significantly higher in the overdosing group compared to standard and underdosing groups. Age and anemia were identified as risk factors for all-cause mortality, while renal insufficiency was associated with an increased risk of composite endpoint events.

conclusionAF remains a major disease burden, especially in elderly patients. For Asians, NOAC underdosing was still effective in preventing stroke, but its efficacy and safety need to be further validated through larger-scale clinical trials. Meanwhile, overdosing of NOAC should be avoided. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

AnticoagulantsAtrial FibrillationMedication AdherenceStrokeAdministration, OralAgedAged, 80 and overCross-Sectional StudiesFemaleHemorrhageHumansLongitudinal StudiesMaleMiddle AgedRisk AssessmentRisk FactorsAnticoagulantsAtrial fibrillationClinical featuresInappropriate prescribingOral anticoagulantsPrognosis

Identifiers

PMID40189518
PMCPMC11974184

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.