Evidence map›Paper›PMID 41675730›Full record

ArticleAnnals of medicine and surgery (2012)2026

Integration of pharmacogenomics into precision medicine: transforming healthcare for the next generation.

Umair Ali, Raghabendra Kumar Mahato

Abstract readLetter
In one paragraph

Article in Annals of medicine and surgery (2012), 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

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

1 citing paper in PubMed.

  1. Review
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

2 authors.

Umair AliDepartment of Pharmacy, University of Swabi, Pakistan.
Raghabendra Kumar MahatoDepartment of Medicine,Gandaki Medical College Teaching Hospital and Research Center, Pokhara, Nepal.ORCID https://orcid.org/0009-0006-5140-877X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pharmacogenomics is now an essential part of precision medicine, as it describes how genetic differences at the individual level influence drug responses. Its combination enables a transition from trial-and-error prescriptions to predictive, genotype-directed treatment, thereby enhancing the safety and accuracy of treatment. Rapid genomic testing, AI-driven prediction of drug-gene interactions, and clinical decision-support systems have advanced, increasing their uptake in psychiatry, cardiology, and oncology. New methods, such as polygenic pharmacogenomic scoring and population-specific genomic maps, are even more personalized. Together, these advances make pharmacogenomics a central figure with the potential to shape the future of personalized, effective, and innovative healthcare.

Indexed as

drug response predictiongenetic variabilitypersonalized therapypharmacogenomicsprecision medicine

Identifiers

PMID41675730
PMCPMC12889299

What OpenQuestion holds

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Registered trials

None linked

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.