Evidence map›Paper›PMID 32275326›Full record

ArticleClinical pharmacology and therapeutics2020

Pharmacoepidemiologic Screening of Potential Oral Anticoagulant Drug Interactions Leading to Thromboembolic Events.

Meijia Zhou, Charles E Leonard, Colleen M Brensinger, Warren B Bilker, Stephen E Kimmel, Todd E H Hecht, Sean Hennessy

Open access · greenAbstract read
In one paragraph

Article in Clinical pharmacology and therapeutics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.2field-weighted citation impact, top 19% 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

10 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. DrugResearch and practice in thrombosis and haemostasis · 2023
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. 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

7 authors at 2 institutions in 1 country.

Meijia ZhouDepartment of Biostatistics, Epidemiology, and Informatics, Center for Pharmacoepidemiology Research and Training, Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.
Charles E LeonardDepartment of Biostatistics, Epidemiology, and Informatics, Center for Pharmacoepidemiology Research and Training, Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.
Colleen M BrensingerDepartment of Biostatistics, Epidemiology, and Informatics, Center for Pharmacoepidemiology Research and Training, Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.
Warren B BilkerDepartment of Biostatistics, Epidemiology, and Informatics, Center for Pharmacoepidemiology Research and Training, Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.
Stephen E KimmelDepartment of Biostatistics, Epidemiology, and Informatics, Center for Pharmacoepidemiology Research and Training, Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.
Todd E H HechtDivision of General Internal Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.
Sean HennessyDepartment of Biostatistics, Epidemiology, and Informatics, Center for Pharmacoepidemiology Research and Training, Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.
University of Pennsylvania · USTranslational Therapeutics (United States) · US

Funding

Clinical Importance of Drug-Drug InteractionsR01AG025152 · NIA · UNIVERSITY OF PENNSYLVANIA · PI HENNESSY, SEAN, LI, LANG · 2006 to 2021
$8.1M
Drug interactions involving psychoactive drugsR01AG060975 · NIA · UNIVERSITY OF PENNSYLVANIA · PI Charles Edward Leonard · 2019 to 2026
$3.9M
Drug-Drug Interactions Involving Methadone and BuprenorphineR01DA048001 · NIDA · UNIVERSITY OF PENNSYLVANIA · PI HENNESSY, SEAN · 2019 to 2023
$2.9M
Drug-Drug Interactions Involving Antidiabetic AgentsR01DK102694 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI HENNESSY, SEAN, LI, LANG · 2014 to 2017
$2.4M
Enhancing the Utility of the Trend-in-Trend Research DesignR01AG064589 · NIA · UNIVERSITY OF PENNSYLVANIA · PI HENNESSY, SEAN, SMALL, DYLAN S · 2019 to 2022
$2.2M
NIA NIH HHS R01 AG025152NIA NIH HHS R01 AG060975NIA NIH HHS R01 AG064589NIDA NIH HHS R01 DA048001NIDDK NIH HHS R01 DK102694
6 · The paper itself

Abstract

Drug-drug interactions (DDIs) with oral anticoagulants may lead to under-anticoagulation and increased risk of thromboembolism. Although warfarin is susceptible to numerous DDIs, few studies have examined DDIs resulting in thromboembolism or those involving direct-acting oral anticoagulants (DOACs). We aimed to identify medications that increase the rate of hospitalization for thromboembolic events when taken concomitantly with oral anticoagulants. We conducted a high-throughput pharmacoepidemiologic screening study using Optum Clinformatics Data Mart, 2000-2016. We performed self-controlled case series studies among adult users of oral anticoagulants (warfarin, dabigatran, rivaroxaban, apixaban, and edoxaban) with at least one hospitalization for a thromboembolic event. Among eligible patients, we identified all oral medications frequently co-prescribed with oral anticoagulants as potential interacting precipitants. Conditional Poisson regression was used to estimate rate ratios comparing precipitant exposed vs. unexposed time for each anticoagulant-precipitant pair. To minimize within-person confounding by indication for the precipitant, we used pravastatin as a negative control object drug. Multiple estimation was adjusted using semi-Bayes shrinkage. We screened 1,622 oral anticoagulant-precipitant drug pairs and identified 226 (14%) drug pairs associated with statistically significantly elevated risk of thromboembolism. Using pravastatin as the negative control object drug, this list was reduced to 69 potential DDI signals for thromboembolism, 33 (48%) of which were not documented in the DDI knowledge databases Lexicomp and/or Micromedex. There were more DDI signals associated with warfarin than DOACs. This study reproduced several previously documented oral anticoagulant DDIs and identified potential DDI signals that deserve to be examined in future etiologic studies.

Indexed as

Administration, OralAdolescentAdultAgedAged, 80 and overDatabases, FactualDrug InteractionsFactor Xa InhibitorsFemaleHumansMaleMiddle AgedPharmacoepidemiologyRetrospective StudiesRisk AssessmentRisk FactorsFactor Xa Inhibitors

Identifiers

PMID32275326
PMCPMC7765337
OpenAlexW3016017223

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.