Evidence map›Paper›PMID 30645601›Full record

ArticlePloS one2019

Temporal trends in prevalence and antithrombotic treatment among Asians with atrial fibrillation undergoing percutaneous coronary intervention: A nationwide Korean population-based study.

Jiesuck Park, Eue-Keun Choi, Kyung-Do Han, You-Jung Choi, Euijae Lee, Wonseok Choe, So-Ryoung Lee, Myung-Jin Cha, Woo-Hyun Lim, Jeehoon Kang and 3 more

Abstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

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

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  19. Balancing Beats and Bleeding: The Evolving Landscape of Atrial Fibrillation and Anticoagulation in the Past Two Decades.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
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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

13 authors.

Jiesuck ParkDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea.
Eue-Keun ChoiDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea.ORCID 0000-0002-0411-6372
Kyung-Do HanDepartment of Biostatistics, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
You-Jung ChoiDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea.
Euijae LeeDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea.
Wonseok ChoeDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea.
So-Ryoung LeeDepartment of Internal Medicine, Soon Chun Hyang University Hospital, Seoul, Republic of Korea.
Myung-Jin ChaDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea.
Woo-Hyun LimDepartment of Internal Medicine, Seoul National University Boramae Medical Center, Seoul, Republic of Korea.
Jeehoon KangDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea.
Kyung Woo ParkDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea.
Seil OhDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea.
Gregory Y H LipInstitute of Cardiovascular Sciences, University of Birmingham, Birmingham, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe investigated the recent 10-year trends in the number of patients with atrial fibrillation (AF) undergoing percutaneous coronary intervention (PCI) in relation to prescription patterns of antithrombotic therapy.

methodsWe analyzed the annual prevalence of PCI and patterns of antithrombotic therapy after PCI, including antiplatelets and oral anticoagulants (vitamin K antagonists and non-vitamin K antagonist oral anticoagulants [NOACs]), in patients with AF between 2006 and 2015 by using the Korean National Health Insurance Service database. Independent factors associated with triple therapy (oral anticoagulant plus dual antiplatelet) prescription were assessed using multivariable logistic regression analysis.

resultsThe number of patients with AF undergoing PCI increased gradually from 2006 (n = 2,140) to 2015 (n = 3,631) (ptrend<0.001). In 2006, only 22.7% of patients received triple therapy after PCI although 96.2% of them were indicated for anticoagulation (CHA2DS2-VASc score ≥2). The prescription rate of triple therapy increased to 38.3% in 2015 (ptrend<0.001), which was mainly attributed to a recent increment of NOAC-based triple therapy from 2013 (17.5% in 2015). Previous ischemic stroke or systemic embolism, old age, hypertension, and congestive heart failure were significantly associated with a higher triple therapy prescription rate, whereas previous myocardial infarction, PCI, and peripheral arterial disease were associated with triple therapy underuse.

conclusionsFrom 2006 to 2015, the number of patients with AF undergoing PCI and the prescription rate of triple therapy increased gradually with a recent increment of NOAC-based antithrombotic therapy from 2013. Previous myocardial infarction, peripheral artery disease, and PCI were associated with underuse of triple therapy.

Indexed as

AgedAged, 80 and overAnticoagulantsAtrial FibrillationBlood CoagulationCommunity Health PlanningDrug Therapy, CombinationFemaleFibrinolytic AgentsHumansMaleMyocardial InfarctionPercutaneous Coronary InterventionPlatelet Aggregation InhibitorsPrevalenceRepublic of KoreaAnticoagulantsFibrinolytic AgentsPlatelet Aggregation Inhibitors

Identifiers

PMID30645601
PMCPMC6333333

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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.