ReviewClinical and translational science2026
Predicting Pharmacokinetic Variability and Drug Interaction Risk Using Omics-Based Biomarkers.
Review in Clinical and translational science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
Abstract
Interindividual variability in drug pharmacokinetics and susceptibility to drug-drug interactions remain major barriers in precision dosing, particularly for narrow therapeutic index drugs. While genetic factors contribute, much variability arises from dynamic influences such as physiology, disease, age, diet, microbiome, and concomitant medications. Conventional approaches provide limited retrospective insight. Emerging phenotypic biomarkers offer a proactive, mechanism-based strategy to quantify variability, improve exposure prediction, assess drug interaction risk, and individualize dosing beyond pharmacogenomics.
Indexed as
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What 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.