Evidence map›Paper›PMID 31574165›Full record

ArticleJournal of the American Geriatrics Society2020

Geriatric Elements and Oral Anticoagulant Prescribing in Older Atrial Fibrillation Patients: SAGE-AF.

Jane S Saczynski, Saket R Sanghai, Catarina I Kiefe, Darleen Lessard, Francesca Marino, Molly E Waring, David Parish, Robert Helm, Felix Sogade, Robert Goldberg and 6 more

Abstract readMulticenter Study
In one paragraph

Article in Journal of the American Geriatrics Society, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed
–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

51 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Predicting survival in atrial fibrillation: results from SAGE-AF.Journal of geriatric cardiology : JGC · 2025
    Article
  5. Observational
  6. Review
  7. Utilization of P2YThe American journal of cardiology · 2023
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Observational
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

16 authors.

Jane S SaczynskiDepartment of Pharmacy and Health System Sciences, Northeastern University, Boston, Massachusetts.
Saket R SanghaiCardiology Division, Department of Medicine, University of Massachusetts Medical School, Worcester, Massachusetts.
Catarina I KiefeDepartment of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, Massachusetts.
Darleen LessardCardiology Division, Department of Medicine, University of Massachusetts Medical School, Worcester, Massachusetts.
Francesca MarinoCardiology Division, Department of Medicine, University of Massachusetts Medical School, Worcester, Massachusetts.
Molly E WaringDepartment of Allied Health Sciences, University of Connecticut, Storrs, Connecticut.ORCID 0000-0002-9884-9824
David ParishDepartment of Community Medicine/ Internal Medicine, Mercer University School of Medicine, Macon, Georgia.
Robert HelmDepartment of Medicine, Boston University Medical Center, Boston, Massachusetts.
Felix SogadeDepartment of Medicine, Mercer University School of Medicine, Mercer, Georgia.
Robert GoldbergCardiology Division, Department of Medicine, University of Massachusetts Medical School, Worcester, Massachusetts.
Jerry GurwitzGeriatric Medicine Division, Department of Medicine, University of Massachusetts Medical School, Worcester, Massachusetts.
Weijia WangCardiology Division, Department of Medicine, University of Massachusetts Medical School, Worcester, Massachusetts.
Tanya MailhotDepartment of Pharmacy and Health System Sciences, Northeastern University, Boston, Massachusetts.
Benita BamgbadeDepartment of Pharmacy and Health System Sciences, Northeastern University, Boston, Massachusetts.
Bruce BartonCardiology Division, Department of Medicine, University of Massachusetts Medical School, Worcester, Massachusetts.
David D McManusCardiology Division, Department of Medicine, University of Massachusetts Medical School, Worcester, Massachusetts.

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
Automated detection and prediction of atrial fibrillation during sepsisR01HL136660 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI WALKEY, ALLAN J. · 2017 to 2020
$2.2M
NHLBI NIH HHS R01 HL126911NHLBI NIH HHS R01 HL136660NHLBI NIH HHS R01 HL137734NHLBI NIH HHS R01 HL137794NHLBI NIH HHS R01 HL141434
6 · The paper itself

Abstract

objectivesOral anticoagulants are the cornerstone of stroke prevention in high-risk patients with atrial fibrillation (AF). Geriatric elements, such as cognitive impairment and frailty, commonly occur in these patients and are often cited as reasons for not prescribing oral anticoagulants. We sought to systematically assess geriatric impairments in patients with AF and determine whether they were associated with oral anticoagulant prescribing.

designCross-sectional analysis of baseline data from the ongoing Systematic Assessment of Geriatric Elements in Atrial Fibrillation (SAGE-AF) prospective cohort study.

settingMulticenter study with site locations in Massachusetts and Georgia that recruited participants from cardiology, electrophysiology, and primary care clinics from 2016 to 2018.

participantsParticipants with AF age 65 years or older, CHA MEASUREMENTS: A six-component geriatric assessment included validated measures of frailty, cognitive function, social support, depressive symptoms, vision, and hearing. Oral anticoagulant use was abstracted from the medical record.

resultsA total of 1244 participants (mean age = 76 y; 49% female; 85% white) were enrolled; 42% were cognitively impaired, 14% frail, 53% pre-frail, 12% socially isolated, and 29% had depressive symptoms. Oral anticoagulants were prescribed to 86% of the cohort. Oral anticoagulant prescribing did not vary according to any of the geriatric elements (adjusted odds ratios [ORs] for oral anticoagulant prescribing and cognitive impairment: OR = .75; 95% confidence interval [CI] = .51-1.09; frail OR = .69; 95% CI = .35-1.36; social isolation OR = .90; 95% CI = .52-1.54; depression OR = .79; 95% CI = .49-1.27; visual impairment OR = .98; 95% CI = .65-1.48; and hearing impairment OR = 1.05; 95% CI = .71-1.54).

conclusionGeriatric impairments, particularly cognitive impairment and frailty, were common in our cohort, but treatment with oral anticoagulants did not differ by impairment status. These geriatric impairments are commonly cited as reasons for not prescribing oral anticoagulants, suggesting that prescribers may either be unaware or deliberately ignoring the presence of these factors in clinical settings. J Am Geriatr Soc 68:147-154, 2019.

Indexed as

Administration, OralFrailtyGeriatric AssessmentAgedAged, 80 and overAnticoagulantsAtrial FibrillationCognitive DysfunctionCross-Sectional StudiesFemaleGeorgiaHeart FailureHumansIschemic Attack, TransientMaleMassachusettsAnticoagulantsatrial fibrillationcognitive impairmentfrailtyoral anticoagulants

Identifiers

PMID31574165
PMCPMC6952542

What OpenQuestion holds

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Registered trials

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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.