Evidence map›Paper›PMID 28326589›Full record

ArticleBritish journal of clinical pharmacology2017

Risk of myocardial infarction in patients with atrial fibrillation using vitamin K antagonists, aspirin or direct acting oral anticoagulants.

Leo M Stolk, Frank de Vries, Chiel Ebbelaar, Anthonius de Boer, Tom Schalekamp, Patrick Souverein, Arina Ten Cate-Hoek, Andrea M Burden

Erratum issuedOpen access · bronzeAbstract readComparative Study
In one paragraph

Article in British journal of clinical pharmacology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 15% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. KG-TREAT: Pre-training for Treatment Effect Estimation by Synergizing Patient Data with Knowledge Graphs.Proceedings of the ... AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence · 2024
    Article
  4. Correction.British journal of clinical pharmacology · 2019
    Article
  5. Article
  6. Article
  7. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 2 countries.

Leo M StolkDepartment of Clinical Pharmacy and Toxicology, Maastricht University Medical Centre, Maastricht, the Netherlands.
Frank de VriesDepartment of Clinical Pharmacy and Toxicology, Maastricht University Medical Centre, Maastricht, the Netherlands.
Chiel EbbelaarUtrecht Institute for Pharmaceutical Sciences, Division of Pharmacoepidemiology & Clinical Pharmacology, Utrecht University, Utrecht, the Netherlands.
Anthonius de BoerUtrecht Institute for Pharmaceutical Sciences, Division of Pharmacoepidemiology & Clinical Pharmacology, Utrecht University, Utrecht, the Netherlands.
Tom SchalekampUtrecht Institute for Pharmaceutical Sciences, Division of Pharmacoepidemiology & Clinical Pharmacology, Utrecht University, Utrecht, the Netherlands.
Patrick SouvereinUtrecht Institute for Pharmaceutical Sciences, Division of Pharmacoepidemiology & Clinical Pharmacology, Utrecht University, Utrecht, the Netherlands.
Arina Ten Cate-HoekDepartment Internal Medicine, Maastricht University Medical Centre, Maastricht, the Netherlands.
Andrea M BurdenDepartment of Clinical Pharmacy and Toxicology, Maastricht University Medical Centre, Maastricht, the Netherlands.
Maastricht University Medical Centre · NLPharmo Institute · NLUtrecht University · NL

Funding

CIHR
6 · The paper itself

Abstract

aimDirect-acting oral anticoagulants (DOACs) have become available for the prevention of stroke in patients with atrial fibrillation (AF). Conflicting results have been published on the risk of acute myocardial infarction (AMI) with the use of DOACs in comparison with vitamin K antagonists (VKAs). The objective of the present study was to evaluate the risk of AMI in patients with AF who are exposed to either VKAs, DOACs or low-dose (< 325 mg) aspirin.

methodsWe conducted a population-based cohort study using data from the Clinical Practice Research Datalink (2008-2014). The study population (n = 30 146) consisted of all patients ≥18 years with a diagnosis of AF who were new users of VKAs, DOACs (rivaroxaban and dabigatran) or aspirin. Cox proportional hazards models were used to estimate the hazard ratio (HR) of AMI for users of DOACs or aspirin vs. VKA. Adjustments were made for age, gender, lifestyle, risk factors, comorbidity and other drugs.

resultsThe risk of AMI was doubled when we compared current use of DOACs with current use of VKAs [adjusted HR 2.11; 95% confidence interval (CI) 1.08, 4.12] and for current users of aspirin vs. current VKA users (adjusted HR 1.91; 95% CI 1.45, 2.51).

conclusionsThere is a twofold increase in the risk of AMI for users of DOACs, in comparison with VKAs, in AF therapy. In addition, the results suggested that in patients with AF, the incidence of AMI is higher during aspirin monotherapy than during the use of VKAs.

Indexed as

Administration, OralAgedAnticoagulantsAspirinAtrial FibrillationDabigatranFemaleFibrinolytic AgentsFollow-Up StudiesHumansMaleMiddle AgedMyocardial InfarctionPlatelet Aggregation InhibitorsRetrospective StudiesRisk FactorsAnticoagulantsAspirinDabigatranFibrinolytic AgentsPlatelet Aggregation InhibitorsRivaroxabanVitamin Kanticoagulantscardiovascular pharmacologypharmacoepidemiology

Identifiers

PMID28326589
PMCPMC6495191
OpenAlexW2602158106

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.