Evidence map›Paper›PMID 36273408›Full record

ArticleJournal of the American Geriatrics Society2023

Differential effect of anticoagulation according to cognitive function and frailty in older patients with atrial fibrillation.

Weijia Wang, Darleen Lessard, Catarina I Kiefe, Robert J Goldberg, David Parish, Robert Helm, Katherine Trymbulak, Jordy Mehawej, Hawa Abu, Benita A Bamgbade and 5 more

Open access · greenAbstract read
In one paragraph

Article in Journal of the American Geriatrics Society, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.1field-weighted citation impact, top 7% 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

12 citing papers in PubMed, 20 citations in OpenAlex.

  1. Observational
  2. Review
  3. Article
  4. Review
  5. Frailty Matters-Why Isn't It Guiding Clinical Decisions?Journal of the American Geriatrics Society · 2025
    Article
  6. Review
  7. Article
  8. Article
  9. Utilization of P2YThe American journal of cardiology · 2023
    Article
  10. Article
  11. Review
  12. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 6 institutions in 1 country.

Weijia WangDepartment of Medicine, University of Massachusetts Medical School, Worcester, Massachusetts, USA.ORCID 0000-0002-9435-0145
Darleen LessardDepartment of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, Massachusetts, USA.
Catarina I KiefeDepartment of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, Massachusetts, USA.
Robert J GoldbergDepartment of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, Massachusetts, USA.
David ParishDepartment of Medicine, School of Medicine, Mercer University, Macon, Georgia, USA.
Robert HelmDepartment of Medicine, School of Medicine, Boston University, Boston, Massachusetts, USA.
Katherine TrymbulakFrank H. Netter M.D. School of Medicine at Quinnipiac University, North Haven, Connecticut, USA.ORCID 0000-0003-2931-2262
Jordy MehawejDepartment of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, Massachusetts, USA.
Hawa AbuDepartment of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, Massachusetts, USA.
Benita A BamgbadeDepartment of Pharmacy and Health System Sciences, Northeastern University, Boston, Massachusetts, USA.ORCID 0000-0003-1645-5838
Robert HaywardKaiser Permanente Santa Clara Medical Center, Santa Clara, California, USA.
Joel GoreDepartment of Medicine, University of Massachusetts Medical School, Worcester, Massachusetts, USA.
Jerry H GurwitzDepartment of Medicine, University of Massachusetts Medical School, Worcester, Massachusetts, USA.
David D McManusDepartment of Medicine, University of Massachusetts Medical School, Worcester, Massachusetts, USA.
Jane S SaczynskiDepartment of Pharmacy and Health System Sciences, Northeastern University, Boston, Massachusetts, USA.
University of Massachusetts Chan Medical School · USNortheastern University · USBoston University · USKaiser Permanente Santa Clara Medical Center · USMercer University · USQuinnipiac University · US

Funding

Detecting bleeding events using EHRs for prediction in AfibR01HL137794 · NHLBI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI MCMANUS, DAVID D., YU, HONG · 2018 to 2021
$3.3M
Systematic Assessment of Geriatric Elements in Atrial Fibrillation (SAGE-AF)R01HL126911 · NHLBI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI MCMANUS, DAVID D., SACZYNSKI, JANE STEELE · 2016 to 2019
$3.2M
Smartwatch Monitoring for Atrial Fibrillation After StrokeR01HL137734 · NHLBI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI CHON, KI H, MCMANUS, DAVID D. · 2018 to 2021
$3.1M
FHS-NEXT - Framingham Novel EXam using TechnologyR01HL141434 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI BENJAMIN, EMELIA J., MCMANUS, DAVID D. · 2019 to 2022
$2.5M
Understanding Oral Anticoagulation Use and Success Among Patients with Psychiatric Multimorbidity in Atrial FibrillationK01HL155236 · NHLBI · NORTHEASTERN UNIVERSITY · PI BAMGBADE, BENITA A · 2021 to 2025
$808k
NHLBI NIH HHS K01 HL155236NHLBI NIH HHS R01 HL126911NHLBI NIH HHS R01 HL137734NHLBI NIH HHS R01 HL137794NHLBI NIH HHS R01 HL141434
6 · The paper itself

Abstract

backgroundIn older patients with atrial fibrillation (AF), cognitive impairment and frailty are prevalent. It is unknown whether the risk and benefit of anticoagulation differ by cognitive function and frailty.

methodsA total of 1244 individuals with AF with age ≥65 years and a CHADSVASC score ≥2 were recruited from clinics in Massachusetts and Georgia between 2016 and 18 and followed until 2020. At baseline, frailty status and cognitive function were assessed. Hazard ratios of anticoagulation on physician adjudicated outcomes were adjusted by the propensity for receiving anticoagulation and stratified by cognitive function and frailty status.

resultsThe average age was 75.5 (± 7.1) years, 49% were women, and 86% were prescribed oral anticoagulants. At baseline, 528 (42.4%) participants were cognitively impaired and 172 (13.8%) were frail. The adjusted hazard ratios of anticoagulation for the composite of major bleeding or death were 2.23 (95% confidence interval: 1.08-4.61) among cognitively impaired individuals and 0.94 (95% confidence interval: 0.49-1.79) among cognitively intact individuals (P for interaction = 0.08). Adjusted hazard ratios for anticoagulation were 1.84 (95% confidence interval: 0.66-5.13) among frail individuals and 1.39 (95% confidence interval: 0.84-2.40) among not frail individuals (P for interaction = 0.67).

conclusionCompared with no anticoagulation, anticoagulation is associated with more major bleeding episodes and death in older patients with AF who are cognitively impaired.

Indexed as

Atrial FibrillationFrailtyStrokeAgedAnticoagulantsCognitionFemaleFrail ElderlyHemorrhageHumansMaleRisk FactorsAnticoagulantsanticoagulationatrial fibrillationbleedingcognitive functionfrailty

Identifiers

PMID36273408
PMCPMC10207283
OpenAlexW4307106922

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.