Evidence map›Paper›PMID 31520256›Full record

SynthesisCardiovascular drugs and therapy2019

Impact of Polypharmacy and P-Glycoprotein- and CYP3A4-Modulating Drugs on Safety and Efficacy of Oral Anticoagulation Therapy in Patients with Atrial Fibrillation.

Ralf E Harskamp, Martina Teichert, Wim A M Lucassen, Henk C P M van Weert, Renato D Lopes

Open access · hybridAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Cardiovascular drugs and therapy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 2 pooled it
6.0field-weighted citation impact, top 3% 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

28 citing papers in PubMed, 2 syntheses or guidelines pooled it, 58 citations in OpenAlex.

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  19. Ethnic Diversity and Warfarin Pharmacogenomics.Frontiers in pharmacology · 2022
    Review
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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

5 authors at 4 institutions in 2 countries.

Ralf E HarskampDepartment of General Practice, Amsterdam UMC, Amsterdam Public Health and Amsterdam Cardiovascular Sciences Research Institutes, Academic Medical Center, University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands. r.e.harskamp@amc.uva.nl.ORCID 0000-0001-9041-0350
Martina TeichertDepartment of Clinical Pharmacy and Toxicology, Leiden University Medical Centre, Leiden, The Netherlands.ORCID 0000-0001-8411-3325
Wim A M LucassenDepartment of General Practice, Amsterdam UMC, Amsterdam Public Health and Amsterdam Cardiovascular Sciences Research Institutes, Academic Medical Center, University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands.
Henk C P M van WeertDepartment of General Practice, Amsterdam UMC, Amsterdam Public Health and Amsterdam Cardiovascular Sciences Research Institutes, Academic Medical Center, University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands.ORCID 0000-0001-6370-4724
Renato D LopesDuke Clinical Research Institute, Duke University Medical Center, Durham, NC, USA.ORCID 0000-0002-9454-7730
Amsterdam UMC Location University of Amsterdam · NLClinical Research Institute · USDuke University · USLeiden University · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo study whether polypharmacy or drug-drug interactions have differential effect on safety and efficacy in patients treated with direct oral anticoagulants (DOACs) versus warfarin.

methodsWe performed a systematic review and meta-analysis of studies that randomized patients with atrial fibrillation to DOACs or warfarin stratified by the number of concomitant drugs. Outcomes included stroke or systemic embolism (SE), all-cause mortality, major bleeding, and intracranial hemorrhage. Risk ratios (RR) were calculated and Mantel-Haenszel random effects were applied.

resultsTwo high-quality studies were eligible, including 32,465 participants who received apixaban, rivaroxaban, or warfarin, with a median follow-up of 1.9 years. Of participants, 29% used < 5 drugs, 55% used 5-9 drugs, and 16% used ≥ 10 drugs. Drugs interacting with DOACs (P-glycoprotein/CYP3A4) were used by 6460 (20%) of patients. Patients with higher number of drugs (0-4 vs 5-9 vs ≥ 10) had higher rates of mortality (5.8%, 7.9%, 10.0%) and major bleeding (3.4%, 4.8%, 7.7%). Comparative efficacy or safety of DOACs versus warfarin was not affected by polypharmacy status or P-glycoprotein/CYP3A4 inhibitor use. However, the presence of polypharmacy (p = 0.001) or glycoprotein/CYP3A4-modulating drugs (p = 0.03) was correlated with increased risk of major bleeding when compared with warfarin. Overall, DOAC use was associated with a lower risk of stroke/SE (RR, 0.84; 95%CI, 0.74-0.94), all-cause mortality (RR, 0.91; 95%CI, 0.84-0.98), and intracranial hemorrhage (RR, 0.51; 95%CI, 0.38-0.70) compared with warfarin.

conclusionsDOACs were more effective than warfarin, and at least as safe. Polypharmacy was associated with adverse outcomes and attenuated the advantage in risk of major bleeding among rivaroxaban users, particularly in the presence of P-glycoprotein/CYP3A4-modulating drugs.

Indexed as

Administration, OralAgedAnticoagulantsATP Binding Cassette Transporter, Subfamily B, Member 1Atrial FibrillationCytochrome P-450 CYP3A InducersCytochrome P-450 CYP3A InhibitorsDrug InteractionsFemaleHemorrhageHumansMaleMiddle AgedPolypharmacyRisk AssessmentRisk FactorsAnticoagulantsATP Binding Cassette Transporter, Subfamily B, Member 1Cytochrome P-450 CYP3A InducersCytochrome P-450 CYP3A InhibitorsAtrial fibrillationDOACDrug-drug interactionsPolypharmacyWarfarin

Identifiers

PMID31520256
PMCPMC6904377
OpenAlexW2972317421

What OpenQuestion holds

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LicenceCC BY
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.