Evidence map›Paper›PMID 39272725›Full record

ArticleDiagnostics (Basel, Switzerland)2024

Assays for Monitoring Apixaban and Rivaroxaban in Emergency Settings, State-of-the-Art Routine Analysis, and Volumetric Absorptive Microsamples Deliver Discordant Results.

Adrienne Fehér, István Vincze, James Rudge, Gyula Domján, Barna Vásárhelyi, Gellért Balázs Karvaly

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Adrienne FehérDepartment of Laboratory Medicine, Semmelweis University, H-1089 Budapest, Hungary.
István VinczeDepartment of Laboratory Medicine, Semmelweis University, H-1089 Budapest, Hungary.ORCID 0000-0002-6843-7159
James RudgeTrajan Scientific & Medical, Milton Keynes MK8 0AB, UK.
Gyula DomjánDepartment of Internal Medicine and Oncology, Semmelweis University, H-1083 Budapest, Hungary.
Barna VásárhelyiDepartment of Laboratory Medicine, Semmelweis University, H-1089 Budapest, Hungary.
Gellért Balázs KarvalyDepartment of Laboratory Medicine, Semmelweis University, H-1089 Budapest, Hungary.ORCID 0000-0003-2468-5633

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Our aim was to compare the performance of complementary clinical laboratory approaches to monitoring exposure to apixaban and rivaroxaban, the most prescribed direct-acting oral anticoagulants (DOAC's): an automated commercial anti-Xa chromogenic assay suitable for emergency and pre-surgery testing and a laboratory-developed liquid chromatography-tandem mass spectrometry (LC-MS/MS) method employed for non-emergency analysis in plasma and in dried blood volumetric absorptive microsamples (VAMS) collectible by the patients in their homes. The full validation of the LC-MS/MS method was performed. Cross-validation of the methodologies was accomplished by processing 60 specimens collected for whole blood count and DOAC monitoring in a central clinical laboratory. For VAMS samples, dried plasma and whole blood calibrators were found to be suitable, and a cycle run for seven days could be implemented for rational and economic sample processing. The anti-Xa chromogrenic assay and the LC-MS/MS method delivered discordant plasma analyte concentrations. Moreover, the lack of agreement between plasma and VAMS concentrations was observed. Clinical laboratories must be aware of the differences between the performance of apixaban and rivaroxaban LC-MS/MS and anti-Xa assays. Hematocrit must always be measured along with VAMS samples to obtain accurate results.

Indexed as

anti-Xa chromogenic assayapixabandirect acting oral anticoagulantliquid chromatographymass spectrometryplasmarivaroxabantherapeutic drug monitoringvolumetric absorptive microsampling

Identifiers

PMID39272725
PMCPMC11394325

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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.