Evidence map›Paper›PMID 33544284›Full record

ArticleJournal of thrombosis and thrombolysis2021

Clinical and sociodemographic factors associated with anticoagulant use for cancer associated venous thromboembolism.

Jordan K Schaefer, Mengbing Li, Zhenke Wu, Tanima Basu, Geoffrey D Barnes, Marc Carrier, Jennifer J Griggs, Suman L Sood

Open access · greenAbstract read
In one paragraph

Article in Journal of thrombosis and thrombolysis, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 34% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Review
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 2 institutions in 2 countries.

Jordan K SchaeferDepartment of Medicine, Division of Hematology/Oncology, University of Michigan, C366 Med Inn Building, 1500 E. Medical Center Drive, Ann Arbor, MI, 48109, USA. jschaef@med.umich.edu.ORCID http://orcid.org/0000-0002-7166-386X
Mengbing LiDepartment of Biostatistics, University of Michigan, Ann Arbor, MI, USA.
Zhenke WuDepartment of Biostatistics, University of Michigan, Ann Arbor, MI, USA.
Tanima BasuInstitute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, USA.
Geoffrey D BarnesInstitute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, USA.
Marc CarrierDepartment of Medicine, The Ottawa Hospital Research Institute at the University of Ottawa, Ottawa, ON, Canada.
Jennifer J GriggsDepartment of Medicine, Division of Hematology/Oncology, University of Michigan, C366 Med Inn Building, 1500 E. Medical Center Drive, Ann Arbor, MI, 48109, USA.
Suman L SoodDepartment of Medicine, Division of Hematology/Oncology, University of Michigan, C366 Med Inn Building, 1500 E. Medical Center Drive, Ann Arbor, MI, 48109, USA.
University of Michigan · USUniversity of Ottawa · CA

Funding

XenograftP30CA046592 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI THEODORE S LAWRENCE · 1988 to 2026
$178.2M
Cancer Center Support Grant P30CA046592NCI NIH HHS P30 CA046592
6 · The paper itself

Abstract

Cancer associated thrombosis (CAT) is a leading cause of death among patients with cancer. It is not clear if non-clinical factors are associated with anticoagulation receipt. We conducted a retrospective cohort study of Optum's de-identified Clinformatics® Database of adults with cancer diagnosed between 2009 and 2016 who developed CAT, treated with an outpatient anticoagulant (warfarin, low molecular weight heparin (LMWH), or a direct oral anticoagulant (DOAC)). Of 12,622 patients, three months after an episode of CAT, 1,485 (12%) were on LMWH, 1,546 (12%) on DOACs, and 9,591 (76%) were on warfarin. When controlling for other factors, anticoagulant use was significantly associated with socioeconomic factors, region, co-morbidities, type of thrombosis, and cancer subtype. Patients with a bachelor's degree or greater level of education were less likely to receive warfarin (OR: 0.77; 95% CI: [0.59, 0.99]; p < 0.046) or DOACs (OR: 0.67; 95% CI: [0.55, 0.82]; p < 0.001) compared to LMWH. Patients with higher income levels were more likely to receive LMWH or DOACs compared to warfarin, while patients across all income levels were equally likely to receive LMWH or DOACs. Non-clinical factors including income, education, and region, are associated with anticoagulation receipt three months after an episode of CAT. Sociodemographic factors may result in some patients receiving suboptimal care and contribute to non-guideline concordant care for CAT.

Indexed as

NeoplasmsThrombosisVenous ThromboembolismAdministration, OralAnticoagulantsHeparin, Low-Molecular-WeightHumansRetrospective StudiesSociodemographic FactorsWarfarinAnticoagulantsHeparin, Low-Molecular-WeightWarfarinAnticoagulantsDrug utilizationNeoplasmsSocioeconomic factorsVenous thrombosis

Identifiers

PMID33544284
PMCPMC12892003
OpenAlexW3128514081

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.