Evidence map›Paper›PMID 29171211›Full record

ArticleKorean circulation journal2017

A Prospective Survey of Atrial Fibrillation Management for Real-world Guideline Adherence: COmparison study of Drugs for symptom control and complication prEvention of Atrial Fibrillation (CODE-AF) Registry.

Hyeongsoo Kim, Tae Hoon Kim, Myung Jin Cha, Jung Myung Lee, Junbeom Park, Jin Kyu Park, Ki Woon Kang, Jaemin Shim, Jae Sun Uhm, Jun Kim and 6 more

Open access · hybridAbstract read
In one paragraph

Article in Korean circulation journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
3.7field-weighted citation impact, top 5% 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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 40 citations in OpenAlex.

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  18. CHAScientific reports · 2018
    Observational
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors at 9 institutions in 1 country.

Hyeongsoo Kim *Division of Cardiology, Department of Internal Medicine, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-5030-952X
Tae Hoon Kim *Division of Cardiology, Department of Internal Medicine, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0003-4200-3456
Myung Jin ChaDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Korea.ORCID https://orcid.org/0000-0001-6180-0157
Jung Myung LeeDivision of Cardiology, Department of Internal Medicine, Kyung Hee University Hospital, Kyung Hee University, Seoul, Korea.ORCID https://orcid.org/0000-0002-1904-5335
Junbeom ParkDepartment of Cardiology, School of Medicine, Ewha Womans University, Seoul, Korea.ORCID https://orcid.org/0000-0003-2192-9401
Jin Kyu ParkDepartment of Cardiology, Hanyang University Seoul Hospital, Seoul, Korea.ORCID https://orcid.org/0000-0001-7931-777X
Ki Woon KangDivision of Cardiology, Eulji University Hospital, Daejeon, Korea.ORCID https://orcid.org/0000-0002-1361-0022
Jaemin ShimDivision of Cardiology, Department of Internal Medicine, Korea University Medical Center, Seoul, Korea.ORCID https://orcid.org/0000-0001-8251-1522
Jae Sun UhmDivision of Cardiology, Department of Internal Medicine, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-1611-8172
Jun KimHeart Institute, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea.ORCID https://orcid.org/0000-0002-3573-638X
Hyung Wook ParkDepartment of Cardiology, Chonnam National University Hospital, Chonnam National University School of Medicine, Gwangju, Korea.ORCID https://orcid.org/0000-0002-9630-0467
Eue Keun ChoiDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Korea.ORCID https://orcid.org/0000-0002-0411-6372
Jin Bae KimDivision of Cardiology, Department of Internal Medicine, Kyung Hee University Hospital, Kyung Hee University, Seoul, Korea.ORCID https://orcid.org/0000-0002-0293-0901
Changsoo KimDepartment of Preventive Medicine, Institute of Human Complexity and Systems Science, Yonsei University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-5940-5649
Young Soo LeeDivision of Cardiology, Department of Internal Medicine, Daegu Catholic University Medical Center, Catholic University of Daegu, Daegu, Korea. mdleeys@cu.ac.kr.ORCID https://orcid.org/0000-0002-8229-8300
Boyoung JoungDivision of Cardiology, Department of Internal Medicine, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Seoul, Korea. cby6908@yuhs.ac.ORCID https://orcid.org/0000-0001-9036-7225
Yonsei University · KREwha Womans University · KRSeoul National University Hospital · KRUlsan College · KRChonnam National University Hospital · KRDaegu Catholic University Medical Center · KRDaejeon Eulji Medical Center, Eulji University · KRKorea University Medical Center · KRKyung Hee University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesThe aging population is rapidly increasing, and atrial fibrillation (AF) is becoming a significant public health burden in Asia, including Korea. This study evaluated current treatment patterns and guideline adherence of AF treatment.

methodsIn a prospective observational registry (COmparison study of Drugs for symptom control and complication prEvention of Atrial Fibrillation [CODE-AF] registry), 6,275 patients with nonvalvular AF were consecutively enrolled between June 2016 and April 2017 from 10 tertiary hospitals in Korea.

resultsThe AF type was paroxysmal, persistent, and permanent in 65.3%, 30.0%, and 2.9% of patients, respectively. Underlying structural heart disease was present in 11.9%. Mean CHA₂DS₂-VASc was 2.7±1.7. Oral anticoagulation (OAC), rate control, and rhythm control were used in 70.1%, 53.9%, and 54.4% of patients, respectively. OAC was performed in 82.7% of patients with a high stroke risk. However, antithrombotic therapy was inadequately used in 53.4% of patients with a low stroke risk. For rate control in 192 patients with low ejection fraction (<40%), β-blocker (65.6%), digoxin (5.2%), or both (19.3%) were adequately used in 90.1% of patients; however, a calcium channel blocker was inadequately used in 9.9%. A rhythm control strategy was chosen in 54.4% of patients. The prescribing rate of class Ic antiarrythmics, dronedarone, and sotalol was 16.9% of patients with low ejection fraction.

conclusionThis study shows how successfully guidelines can be applied in the real world. The nonadherence rate was 17.2%, 9.9%, and 22.4% for stroke prevention, rate control, and rhythm control, respectively.

Indexed as

Anticoagulant agentAtrial fibrillationGuidelines adherenceRegistry

Identifiers

PMID29171211
PMCPMC5711680
OpenAlexW2755948397

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LicenceCC BY-NC
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Registered trials

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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.