Evidence map›Paper›PMID 41017789›Full record

ArticleHospital pharmacy2026

A Single Health System Retrospective Qualitative Analysis of Inpatient Apixaban and Rivaroxaban Calibrated Anti-Xa Level Monitoring and Clinical Implications.

Bailey McCarville, Jennifer Osborn

Abstract read
In one paragraph

Article in Hospital pharmacy, 2026. 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
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

2 authors.

Bailey McCarvilleUniversity of Minnesota Medical Center, Minneapolis, USA.ORCID https://orcid.org/0009-0007-6865-1538
Jennifer OsbornUniversity of Minnesota Medical Center, Minneapolis, USA.ORCID https://orcid.org/0009-0009-1207-3809

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The ability to obtain a quantitative drug level for apixaban and rivaroxaban exists using drug-specific calibrated anti-Xa assays; however, no standard exists defining when to obtain direct oral anticoagulant (DOAC) concentrations or how to adjust medication regimens based on the results. Objective: Describe the incidence of DOAC levels obtained, identify trends in prescribing DOAC levels in clinical practice, and qualitatively assess level appropriateness and actions taken based on level results. Methods: A qualitative, retrospective analysis was conducted using the electronic medical record to identify adult inpatients within a 10-hospital health system with a calibrated apixaban or rivaroxaban anti-Xa level result from April 1, 2020, to November 1, 2022. The primary endpoint was the incidence of DOAC levels drawn. Secondary outcomes included the percentage of DOAC concentrations that prompted a dose change, association between dose or agent change and concentrations outside the on-therapy range, and association between indication for obtaining DOAC levels and resultant concentrations. Results: One-hundred thirty-two calibrated anti-Xa levels were obtained in 101 inpatients during the study period, representing a level drawn in 0.48% of all apixaban and rivaroxaban orders. Eighty-three (63%) patients were on apixaban. Primary reasons to draw DOAC levels were extreme body weight (35%), treatment failure concerns (23%), bleeding concerns (18%), and drug interactions (14%). Only 42 (31.8%) of all levels were drawn appropriately as a peak. Seventeen (40.4%) of the peak levels were within the on-therapy range. Of the 25 levels outside the on-therapy range, 14 (56%) resulted in no change in therapy. For all levels drawn, 70 (53%) resulted in no change to therapy. Conclusions: DOAC concentrations are often drawn at inappropriate times and seldom influence a dose or agent change. Future research is needed to determine if DOAC concentrations may be clinically meaningful in a select subgroup of patients.

Indexed as

anticoagulationdirect oral anticoagulant monitoringdirect oral anticoagulantsdrug monitoring

Identifiers

PMID41017789
PMCPMC12460266

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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.