Evidence map›Paper›PMID 31797240›Full record

SynthesisJournal of thrombosis and thrombolysis2020

Antithrombotic therapy for chronic coronary syndrome and atrial fibrillation: less might be more.

Bernhard Wernly, Deepak L Bhatt, Amin Polzin, Christian Jung

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Journal of thrombosis and thrombolysis, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 30% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. Review
  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

4 authors at 3 institutions in 3 countries.

Bernhard WernlyDepartment of Cardiology, Clinic of Internal Medicine II, Paracelsus Medical University of Salzburg, Salzburg, Austria. bernhard@wernly.at.ORCID http://orcid.org/0000-0003-4024-0220
Deepak L BhattBrigham and Women's Hospital Heart & Vascular Center, Harvard Medical School, Boston, MA, USA.
Amin PolzinDivision of Cardiology, Pulmonology and Vascular Medicine, Medical Faculty, University of Düsseldorf, Düsseldorf, Germany.
Christian JungDivision of Cardiology, Pulmonology and Vascular Medicine, Medical Faculty, University of Düsseldorf, Düsseldorf, Germany.
Heinrich Heine University Düsseldorf · DEBrigham and Women's Hospital · USUniversity of Salzburg · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The best strategy in atrial fibrillation (AF) after > 12 months after an acute coronary syndrome or in patients with chronic coronary syndrome without an indication for interventional revascularization remains unclear. European guidelines generally recommend therapy with oral anticoagulation (OAC) alone, whereas North American guidelines advise combination therapy consisting of OAC plus antiplatelet therapy in some patients. We performed a meta-analysis of available trials comparing these treatment strategies. The primary endpoint was major adverse cardiac events (MACE), secondary endpoints included major bleeding, ischemic and hemorrhagic stroke, myocardial infarction (MI), all-cause mortality, and cardiovascular mortality. Study level data were analyzed. Heterogeneity was assessed using the I

Indexed as

Atrial FibrillationChronic DiseaseFibrinolytic AgentsHemorrhageHumansMyocardial IschemiaRandomized Controlled Trials as TopicFibrinolytic AgentsCombination therapyGuidelinesMonotherapyOral anticoagulation

Identifiers

PMID31797240
OpenAlexW2994328087

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.