Evidence map›Paper›PMID 39202728›Full record

ArticleLife (Basel, Switzerland)2024

The Role of the Pharmacist in a Patient's Care for Individuals Undergoing Anticoagulant Therapy: A Case Report.

Ana M Sáez-Benito, Loreto Sáez-Benito, María Salazar, Rosa Magallón, Nuria Berenguer

Abstract readCase Reports
In one paragraph

Article in Life (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.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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

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

5 authors.

Ana M Sáez-BenitoFaculty of Health Science, San Jorge University, 50830 Villanueva de Gállego, Spain.
Loreto Sáez-BenitoFaculty of Health Science, San Jorge University, 50830 Villanueva de Gállego, Spain.
María SalazarFaculty of Health Science, San Jorge University, 50830 Villanueva de Gállego, Spain.
Rosa MagallónAragonese Primary Care Research Group (GAIAP), Institute for Health Research Aragón (IIS Aragón), 50009 Zaragoza, Spain.ORCID 0000-0002-5494-6550
Nuria BerenguerFaculty of Health Science, San Jorge University, 50830 Villanueva de Gállego, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Achieving clinical effectiveness with vitamin K antagonists (VKAs) requires a Time in Therapeutic Range (TTR) above 65%. TTR is influenced by genetics (CYP2C9, VKORC1, CYP4F2), treatment adherence, and knowledge. The SAMe-TT2R2 algorithm is used to assess VKA treatment suitability. In this case report, SAMe-TT2R2 and pharmacogenetic analysis were used to improve oral anticoagulant management in a patient with poor control of INR. An 84-year-old, obese male with atrial fibrillation, undergoing acenocoumarol therapy, had a suboptimal TTR. An assessment with the SAMe-TT2R2 algorithm indicated a favorable profile for VKA use. An educational intervention on vitamin K-rich foods was conducted, and his physician was informed about the interaction between omeprazole and acenocoumarol, recommending its replacement with pantoprazole. This intervention was accepted by the physician and, three months post-intervention, the patient's TTR improved to 100%. Poor adherence and limited knowledge contributed to treatment failures in patients with a good VKA profile. Pharmaceutical interventions significantly improved TTR management. Patients with favorable genetic and clinical profiles could achieve adequate control of their anticoagulant medication through these interventions. Predictive tools may help select patients who can effectively and safely use VKAs through pharmaceutical interventions.

Indexed as

pharmaceutical interventionpharmacogeneticsSAMe-TT2R2time in therapeutic rangevitamin K antagonists

Identifiers

PMID39202728
PMCPMC11355091

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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.