Evidence map›Paper›PMID 31948390›Full record

ArticleBMC cardiovascular disorders2020

Current status and factors influencing oral anticoagulant therapy among patients with non-valvular atrial fibrillation in Jiangsu province, China: a multi-center, cross-sectional study.

Ting Liu, Hui-Li Yang, Lan Gu, Jie Hui, Ojo Omorogieva, Meng-Xiao Ren, Xiao-Hua Wang

Abstract readMulticenter Study
In one paragraph

Article in BMC cardiovascular disorders, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Observational
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. External validation and comparison of CHAJournal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing · 2022
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. 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

7 authors.

Ting LiuDepartment of Cardiology, The First Affiliated Hospital of Soochow University, Suzhou, 215006, People's Republic of China.
Hui-Li YangSchool of Nursing, Medical College of Soochow University, Suzhou, 215006, People's Republic of China.
Lan GuBoxi Medical Center, The First Affiliated Hospital of Soochow University, Suzhou, 215006, People's Republic of China.
Jie HuiDepartment of Cardiology, The First Affiliated Hospital of Soochow University, Suzhou, 215006, People's Republic of China.
Ojo OmorogievaDepartment of Adult Nursing and Paramedic Science, University of Greenwich, SE92UG, London, UK.
Meng-Xiao RenSchool of Nursing, Medical College of Soochow University, Suzhou, 215006, People's Republic of China.
Xiao-Hua WangDepartment of Cardiology, The First Affiliated Hospital of Soochow University, Suzhou, 215006, People's Republic of China. sxwang2001@163.com.ORCID 0000-0003-3188-8455

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIt has been reported that oral anticoagulation (OAC) is underused among Chinese patients with non-valvular atrial fibrillation (NVAF). Non-vitamin K antagonist oral anticoagulants (NOAC) have been recommended by recent guidelines and have been covered since 2017 by the Chinese medical insurance; thus, the overall situation of anticoagulant therapy may change. The aim of this study was to explore the current status of anticoagulant therapy among Chinese patients with NVAF in Jiangsu province.

methodsThis was a multi-center, cross-sectional study that was conducted in seven hospitals from January to September in 2017. The demographic characteristics and medical history of the patients were collected by questionnaire and from the medical records. Multivariate logistic regression was used to identify factors associated with anticoagulant therapy.

resultsA total of 593 patients were included in the analysis. A total of 35.6% of the participants received OAC (11.1% NOAC and 24.5% warfarin). Of those patients with a high risk of stroke, 11.1% were on NOAC, 24.8% on warfarin, 30.6% on aspirin, and 33.6% were not on medication. Self-paying, duration of AF ≥5 years were negatively associated with anticoagulant therapy in all patients (OR 1.724, 95% CI 1.086~2.794; OR 1.471, 95% CI 1.006~2.149, respectively), whereas, permanent AF was positively associated with anticoagulant therapy (OR 0.424, 95% CI 0.215~0.839). Among patients with high risk of stroke, self-paying and increasing age were negatively associated with anticoagulant therapy (OR 2.305, 95% CI 1.186~4.478; OR 1.087, 95% CI 1.041~1.135, respectively).

conclusionsAnticoagulant therapy is positively associated with permanent AF and negatively associated with self-paying, duration of AF > 5 years. Furthermore, the current status of anticoagulant therapy among Chinese patients with NVAF in Jiangsu province does not appear optimistic. Therefore, further studies should focus on how to improve the rate of OAC use among NVAF patients. In addition, policy makers should pay attention to the economic situation of the patients with NVAF using NOAC.

trial registration2,017,029. Registered 20 March 2017 (retrospectively registered).

Indexed as

Administration, OralAgedAged, 80 and overAge FactorsAnticoagulantsAtrial FibrillationChinaCross-Sectional StudiesDrug CostsDrug UtilizationFactor Xa InhibitorsFemaleHealth ExpendituresHumansMaleMedication AdherenceAnticoagulantsFactor Xa InhibitorsVitamin KWarfarinAnticoagulant therapyAtrial fibrillationCHA2DS2-VASc scoresChinaInfluencing factors

Identifiers

PMID31948390
PMCPMC6964080

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.