Evidence map›Paper›PMID 35098746›Full record

ArticleJournal of managed care & specialty pharmacy2022

Comparison of oral anticoagulation use and adherence among Medicare beneficiaries enrolled in stand-alone prescription drug plans vs Medicare Advantage prescription drug plans.

Terri Victoria Newman, Nico Gabriel, Qinfeng Liang, Coleman Drake, Samar R El Khoudary, Chester B Good, Walid F Gellad, Inmaculada Hernandez

Open access · greenAbstract read
In one paragraph

Article in Journal of managed care & specialty pharmacy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 36% 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

4 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. Article
  3. COVID-19 Diagnosis, Oral Anticoagulation, and Stroke Risk in Patients with Atrial Fibrillation.American journal of cardiovascular drugs : drugs, devices, and other interventions · 2024
    Article
  4. 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

8 authors at 1 institution in 1 country.

Terri Victoria NewmanDepartment of Pharmacy and Therapeutics, University of Pittsburgh School of Pharmacy, Pittsburgh, PA.
Nico Gabriel
Qinfeng LiangCenter for Value-Based Pharmacy Initiatives and High-Value Care, UPMC Health Plan Insurance Services Division, Pittsburgh, PA.
Coleman DrakeDepartment of Health Policy and Management, University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA.
Samar R El KhoudaryEpidemiology Data Center, University of Pittsburgh, Pittsburgh, PA.
Chester B GoodCenter for Value-Based Pharmacy Initiatives and High-Value Care, UPMC Health Plan Insurance Services Division, and University of Pittsburgh Division of General Internal Medicine, Pittsburgh, PA.
Walid F GelladDepartment of Medicine, University of Pittsburgh, and Center for Health Equity Research and Promotion, VA Pittsburgh Healthcare System, Pittsburgh, PA.
Inmaculada HernandezDepartment of Clinical Pharmacy, University of California, San Diego.
University of Pittsburgh · US

Funding

Patient and System-Level Determinants of Oral Anticoagulation Use in Atrial FibrillationK01HL142847 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI HERNANDEZ, INMACULADA · 2018 to 2022
$798k
NHLBI NIH HHS K01 HL142847
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Medicare Part CMedication AdherenceAdministration, OralAgedAnticoagulantsAtrial FibrillationFemaleHumansInsurance, Pharmaceutical ServicesMalePennsylvaniaPropensity ScoreRetrospective StudiesUnited StatesAnticoagulants

Identifiers

PMID35098746
PMCPMC8856760
OpenAlexW4210256823

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.