ReviewCroatian medical journal2020
Use of pharmacogenomics in elderly patients treated for cardiovascular diseases.
Review in Croatian medical journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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.
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.
Who cites it
10 citing papers in PubMed, 18 citations in OpenAlex.
- Laboratory diagnostics in personalised medicine - 36th Symposium of the Croatian society of medical biochemistry and laboratory medicine.Biochemia medica · 2026Review
- Dispensing of actionable pharmacogenetic drugs among adults receiving cardiovascular disease medications in the Northern Netherlands: A serial cross-sectional study.Clinical pharmacology and therapeutics · 2026Article
- Pharmacogenomics in the prediction of adverse effects of cardiovascular drugs: the PGx-CardioDrug project.Croatian medical journal · 2026Review
- Insights Into Patient-Level Exposure to Actionable Pharmacogenomic Medications in Australia Using a New National Pharmacogenomic Guideline.Clinical pharmacology and therapeutics · 2026Article
- Genomics in Health and Biomedicine.Advances in experimental medicine and biology · 2026Review
- Genomic medicine and personalized treatment: a narrative review.Annals of medicine and surgery (2012) · 2025Review
- Pharmacogenomics and its Role in Cardiovascular Diseases: A Narrative Literature Review.Current cardiology reviews · 2025Review
- Genetic ancestry in population pharmacogenomics unravels distinct geographical patterns related to drug toxicity.iScience · 2024Article
- Pharmacogenomics and health disparities, are we helping?Frontiers in genetics · 2023Review
- Genophenotypic Factors and Pharmacogenomics in Adverse Drug Reactions.International journal of molecular sciences · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Older people are increasingly susceptible to adverse drug reactions (ADRs) or therapeutic failure. This could be mediated by considerable polypharmacy, which increases the possibility of drug-drug and drug-gene interactions. Precision medicine, based on individual genetic variations, enables the screening of patients at risk for ADRs and the implementation of personalized treatment regimens. It combines genetic and genomic data with environmental and clinical factors in order to tailor prevention and disease-management strategies, including pharmacotherapy. The identification of genetic factors that influence drug absorption, distribution, metabolism, excretion, and action at the drug target level allows individualized therapy. Positive pharmacogenomic findings have been reported for the majority of cardiovascular drugs (CVD), suggesting that pre-emptive testing can improve efficacy and minimize the toxicity risk. Gene variants related to drug metabolism and transport variability or pharmacodynamics of major CVD have been translated into dosing recommendations. Pharmacogenetics consortia have issued guidelines for oral anticoagulants, antiplatelet agents, statins, and some beta-blockers. Since the majority of pharmacogenetics recommendations are based on the assessment of single drug-gene interactions, it is imperative to develop tools for the prediction of multiple drug-drug-gene interactions, which are common in the elderly with comorbidity. The availability of genomic testing has grown, but its clinical application is still insufficient.
Indexed as
Identifiers
32378381PMC7230415W3021136383What OpenQuestion holds
Registered trials
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.