Evidence map›Paper›PMID 42255798›Full record

ReviewCureus2026

Pharmacotherapeutic Advancements in Personalized Medicine: A Comprehensive Review of Emerging Trends in Clinical Pharmacy Practice.

Rajkumari Bansal, Helen William, Mohit Kher, Yagnik Prafulchandra Tank, Bansari Yagnik Tank, Ashutosh Shukla

Abstract readReview
In one paragraph

Review in Cureus, 2026. 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

6 authors.

Rajkumari BansalSchool of Medical Science, Department of Pharmacology, Sri Satya Sai University and Technology, Pachama, IND.
Helen WilliamDepartment of Pharmaceutical Sciences, Government Medical College, Kottayam, Kottayam, IND.
Mohit KherDepartment of Pharmacology, Kanti Devi University, Kanti Devi Medical College Hospital and Research Centre, Mathura, IND.
Yagnik Prafulchandra TankDepartment of Pathology, Dr. N. D. Desai Faculty of Medical Science and Research, Dharmsinh Desai University, Nadiad, IND.
Bansari Yagnik TankDepartment of Microbiology, Dr. N. D. Desai Faculty of Medical Science and Research, Dharmsinh Desai University, Nadiad, IND.
Ashutosh ShuklaDepartment of Life and Health Sciences, Indus University, Ahmedabad, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pharmacotherapeutic advancements in personalised medicine, clinical pharmacy practice, pharmacogenomics (PGx), model-informed precision dosing (MIPD), therapeutic drug monitoring (TDM), and artificial intelligence (AI) are increasingly shaping individualised drug therapy. Personalised pharmacotherapy offers substantial potential to improve safety and effectiveness, yet translation into routine care remains inconsistent across disease areas and health systems. Gaps persist in integrating biological insight, quantitative tools, and workflow-ready decision support into coherent therapeutic strategies. This review aimed to critically evaluate emerging pharmacotherapeutic trends and their practical integration within clinical pharmacy practice. A comprehensive review methodology was employed, drawing evidence from PubMed, Scopus, Web of Science, and Google Scholar, with literature published between 2015 and 2025 prioritised. Conceptual integration and comparative analysis were applied to peer-reviewed clinical and modelling studies relevant to pharmacotherapeutic decision-making. The review highlights that personalisation achieves greatest value when PGx, biomarkers, MIPD, and digital tools are applied as interconnected components rather than isolated interventions. Evidence indicates improved therapeutic alignment, reduced variability, and enhanced decision consistency in complex care settings when integrative approaches are adopted. These findings underscore the importance of structured implementation and continuous reassessment to support individualised therapy. Long-term implications include expanded roles for data-enabled medication management and improved scalability of precision approaches across healthcare systems and clinical environments.

Indexed as

biomarker-guided therapyclinical pharmacy practicemodel-informed dosingpersonalised pharmacotherapypharmacogenomics integration

Identifiers

PMID42255798
PMCPMC13237195

What OpenQuestion holds

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Registered trials

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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.