Evidence map›Paper›PMID 30339796›Full record

ArticleJournal of cardiac failure2019

Low Utilization of Beta-Blockers Among Medicare Beneficiaries Hospitalized for Heart Failure With Reduced Ejection Fraction.

Matthew Shane Loop, Melissa K van Dyke, Ligong Chen, Monika M Safford, Meredith L Kilgore, Todd M Brown, Raegan W Durant, Emily B Levitan

Open access · greenAbstract read
In one paragraph

Article in Journal of cardiac failure, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.6field-weighted citation impact, top 9% 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, 24 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. The Use of β-Blockers in Heart Failure with Reduced Ejection Fraction.Journal of cardiovascular development and disease · 2021
    Review
  5. The year in cardiology: heart failure.European heart journal · 2020
    Article
  6. Article
  7. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 1 country.

Matthew Shane LoopDepartment of Biostatistics, University of North Carolina, Chapel Hill, North Carolina. Electronic address: matthew_loop@unc.edu.
Melissa K van DykeCenter for Observational Research, Amgen, Thousand Oaks, California.
Ligong ChenDepartment of Epidemiology, University of Alabama, Birmingham, Alabama.
Monika M SaffordDivision of General Internal Medicine, Weill Cornell Medical College, New York, New York.
Meredith L KilgoreDepartment of Health Care Organization and Policy, University of Alabama, Birmingham, Alabama.
Todd M BrownDivision of Cardiovascular Disease, University of Alabama, Birmingham, Alabama.
Raegan W DurantDivision of Preventive Medicine, University of Alabama, Birmingham, Alabama.
Emily B LevitanDepartment of Epidemiology, University of Alabama, Birmingham, Alabama.
University of Alabama at Birmingham · USAmgen (United States) · USCornell University · USUniversity of North Carolina at Chapel Hill · US

Funding

MECHANISMS OF HYPERTENSION AND CARDIOVASCULAR DISEASEST32HL007457 · NHLBI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Martin E Young · 1985 to 2026
$8.6M
NHLBI NIH HHS T32 HL007457
6 · The paper itself

Abstract

backgroundThe evidence-based beta-blockers carvedilol, bisoprolol, and metoprolol succinate reduce mortality and hospitalizations among patients with heart failure with reduced ejection fraction (HFrEF). Use of these medications is not well described in the general population of patients with HFrEF, especially among patients with potential contraindications.

objectivesOur goal was to describe the patterns of prescription fills for carvedilol, bisoprolol, and metoprolol succinate among Medicare beneficiaries hospitalized for HFrEF, as well as to estimate the associations between specific contraindications for beta-blocker therapy and those patterns. METHODS AND

resultsWith the use of the cohort of 15,205 Medicare beneficiaries hospitalized for HFrEF from 2007 to 2013 in the 5% Medicare random sample, we described prescription fills (30 days after discharge) and dosage patterns (1 year after discharge) for beta-blockers. By means of of Fine and Gray competing risk models, we estimated the associations between potential contraindications (hypotension, chronic obstructive pulmonary disease [COPD], asthma, and syncope) and prescription fill and dosing patterns while adjusting for demographics, comorbidities, and health care utilization. For beneficiaries who did not die or readmitted to the hospital, 38% of hospitalizations were followed by a prescription fill for an evidence-based beta-blocker within 30 days, 12% were followed by prescription fills for at least 50% of the recommended dose of an evidence-based beta-blocker within 1 year, and 9% were followed by a prescription fill for an up-titrated dose of an evidence-based beta-blocker within 1 year. The prevalence of the contraindications were 21% for hypotension, 48% for COPD, 15% for asthma, and 12% for syncope. Among beneficiaries who did not fill a prescription for an evidence-based beta-blocker within 30 days, 67% had at least 1 of these contraindications. Hypotension, COPD, and syncope were each associated with a ∼10% lower risk of filling a prescription for an evidence-based beta-blocker.

conclusionsPrescription fill and up-titration rates for evidence-based beta-blockers are low among Medicare beneficiaries with HFrEF, but contraindications explain only a minor part of these low rates.

Indexed as

Drug MonitoringMedicare Part DAdrenergic beta-1 Receptor AntagonistsAgedBisoprololCarvedilolCohort StudiesDrug PrescriptionsFemaleHeart FailureHumansMaleMetoprololRetrospective StudiesStroke VolumeUnited StatesAdrenergic beta-1 Receptor AntagonistsBisoprololCarvedilolMetoprololcompeting risksMedicare Part D

Identifiers

PMID30339796
PMCPMC6467695
OpenAlexW2897339907

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.