Evidence map›Paper›PMID 29296905›Full record

ArticleBlood advances2017

Sociodemographic factors in patients continuing warfarin vs those transitioning to direct oral anticoagulants.

Jordan K Schaefer, Suman L Sood, Brian Haymart, Xiaokui Gu, Xiaowen Kong, Eva Kline-Rogers, Steven Almany, Jay Kozlowski, Gregory D Krol, Scott Kaatz and 2 more

Open access · goldAbstract read
In one paragraph

Article in Blood advances, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 33% 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

5 citing papers in PubMed, 13 citations in OpenAlex.

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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

12 authors at 5 institutions in 1 country.

Jordan K SchaeferDivision of Hematology/Oncology and.ORCID 0000-0002-7166-386X
Suman L SoodDivision of Hematology/Oncology and.
Brian HaymartDivision of Cardiovascular Medicine, Department of Medicine, University of Michigan, Ann Arbor, MI.
Xiaokui GuDivision of Cardiovascular Medicine, Department of Medicine, University of Michigan, Ann Arbor, MI.
Xiaowen KongDivision of Cardiovascular Medicine, Department of Medicine, University of Michigan, Ann Arbor, MI.
Eva Kline-RogersDivision of Cardiovascular Medicine, Department of Medicine, University of Michigan, Ann Arbor, MI.
Steven AlmanyDivision of Cardiovascular Medicine, Department of Internal Medicine, Oakland University William Beaumont School of Medicine, Royal Oak, MI.
Jay KozlowskiHuron Valley Sinai Hospital, Commerce Township, MI; and.
Gregory D KrolHenry Ford Hospital, Detroit, MI.
Scott KaatzHenry Ford Hospital, Detroit, MI.
James B FroehlichDivision of Cardiovascular Medicine, Department of Medicine, University of Michigan, Ann Arbor, MI.
Geoffrey D BarnesDivision of Cardiovascular Medicine, Department of Medicine, University of Michigan, Ann Arbor, MI.ORCID 0000-0002-6532-8440
Michigan Medicine · USHenry Ford Hospital · USPalmetto Hematology Oncology · USOakland University · USSinai Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clinical factors and patient preferences are important for selecting oral anticoagulants for venous thromboembolism (VTE) and atrial fibrillation (AF). The relative association of sociodemographic factors with anticoagulant use is unknown. We evaluated a prospective cohort to compare sociodemographic variables in patients who continued on warfarin for AF or VTE to those who transitioned to 1 of the direct oral anticoagulants (DOACs). Adult patients, newly started on warfarin, were enrolled through 6 anticoagulation clinics across Michigan. Of 8468 patients, 53.3% had AF, 45.6% had VTE, and 1.1% had both. Of these, 696 (8.2%) switched from warfarin to a DOAC. There were no significant differences between switchers and nonswitchers for percentage of time with a therapeutic international normalized ratio on warfarin, urban-rural residence status, or health insurance. Switchers were more often white (83.3% vs 77.7%;

Identifiers

PMID29296905
PMCPMC5728645
OpenAlexW2772484652

What OpenQuestion holds

Textmetadata
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.