Evidence map›Paper›PMID 30376678›Full record

SynthesisThrombosis and haemostasis2018

Predicting Thromboembolic and Bleeding Event Risk in Patients with Non-Valvular Atrial Fibrillation: A Systematic Review.

Ethan D Borre, Adam Goode, Giselle Raitz, Bimal Shah, Angela Lowenstern, Ranee Chatterjee, Lauren Sharan, Nancy M Allen LaPointe, Roshini Yapa, J Kelly Davis and 5 more

Open access · bronzeAbstract readSystematic Review
In one paragraph

Synthesis in Thrombosis and haemostasis, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 90 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
90citing papers in PubMed, 6 pooled it
18.9field-weighted citation impact, top 1% 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

90 citing papers in PubMed, 6 syntheses or guidelines pooled it, 222 citations in OpenAlex.

  1. Guideline
  2. Comprehensive comparison of stroke risk score performance: a systematic review and meta-analysis among 6 267 728 patients with atrial fibrillation.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2022
    Pooled it
  3. Guideline
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Trial
  8. Trial
  9. Development and validation of the GLORIA-AF Stroke Weighted Risk Score for patients with atrial fibrillation.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2026
    Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. The aging hemophilia patient.Hematology. American Society of Hematology. Education Program · 2025
    Review
  16. Brazilian Atrial Fibrillation Guidelines - 2025.Arquivos brasileiros de cardiologia · 2025
    Article
  17. Article
  18. Review
  19. Review
  20. Article

30 more citing papers are in PubMed but not listed here.

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

15 authors at 3 institutions in 1 country.

Ethan D BorreDepartment of Medicine, Duke University School of Medicine, Durham, North Carolina, United States.
Adam GoodeDepartment of Medicine, Duke University School of Medicine, Durham, North Carolina, United States.
Giselle RaitzDepartment of Medicine, Duke University School of Medicine, Durham, North Carolina, United States.
Bimal ShahDepartment of Medicine, Duke University School of Medicine, Durham, North Carolina, United States.
Angela LowensternDuke Clinical Research Institute, Duke University School of Medicine, Durham, North Carolina, United States.
Ranee ChatterjeeDepartment of Medicine, Duke University School of Medicine, Durham, North Carolina, United States.
Lauren SharanDepartment of Medicine, Duke University School of Medicine, Durham, North Carolina, United States.
Nancy M Allen LaPointeDepartment of Medicine, Duke University School of Medicine, Durham, North Carolina, United States.
Roshini YapaDepartment of Medicine, University of Colorado, Aurora, Colorado, United States.
J Kelly DavisDuke-Margolis Center for Health Policy, Duke University, Durham, North Carolina, United States.
Kathryn LallingerDepartment of Medicine, Duke University School of Medicine, Durham, North Carolina, United States.
Robyn SchmidtDepartment of Medicine, Duke University School of Medicine, Durham, North Carolina, United States.
Andrzej KosinskiDepartment of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, North Carolina, United States.
Sana M Al-KhatibDuke Clinical Research Institute, Duke University School of Medicine, Durham, North Carolina, United States.
Gillian D SandersDepartment of Medicine, Duke University School of Medicine, Durham, North Carolina, United States.
Duke University · USClinical Research Institute · USUniversity of Colorado Denver · US

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM007171 · NIGMS · DUKE UNIVERSITY · PI KONTOS, CHRISTOPHER D · 1985 to 2021
$31.2M
Postdoctoral Training in Cardiovascular Clinical ResearchT32HL069749 · NHLBI · DUKE UNIVERSITY · PI MARK, DANIEL B · 2003 to 2023
$6.7M
NHLBI NIH HHS T32 HL069749NIGMS NIH HHS T32 GM007171
6 · The paper itself

Abstract

backgroundAtrial fibrillation (AF) is a common cardiac arrhythmia that increases the risk of stroke. Medical therapy for decreasing stroke risk involves anticoagulation, which may increase bleeding risk for certain patients. In determining the optimal therapy for stroke prevention for patients with AF, clinicians use tools with various clinical, imaging and patient characteristics to weigh stroke risk against therapy-associated bleeding risk.

aimThis article reviews published literature and summarizes available risk stratification tools for stroke and bleeding prediction in patients with AF.

methodsWe searched for English-language studies in PubMed, Embase and the Cochrane Database of Systematic Reviews published between 1 January 2000 and 14 February 2018. Two reviewers screened citations for studies that examined tools for predicting thromboembolic and bleeding risks in patients with AF. Data regarding study design, patient characteristics, interventions, outcomes, quality, and applicability were extracted.

resultsSixty-one studies were relevant to predicting thromboembolic risk and 38 to predicting bleeding risk. Data suggest that CHADS LIMITATIONS: Studies were heterogeneous in methodology and populations of interest, setting, interventions and outcomes analysed.

conclusionCHADS PRIMARY FUNDING SOURCE: Patient-Centered Outcomes Research Institute (PROSPERO #CRD42017069999).

Indexed as

Atrial FibrillationBlood CoagulationHemorrhageHumansRiskStrokeThromboembolismUnited States

Identifiers

PMID30376678
PMCPMC6754740
OpenAlexW2899484044

What OpenQuestion holds

Textmetadata
LicenceTDM
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.