Evidence map›Paper›PMID 40655732›Full record

ReviewJournal of pharmacy & bioallied sciences2025

Genomic Medicine: Applications in Disease Prevention and Treatment.

Harshkumar N Patel, Nilam Hardik Patel, Sanket Mathukiya, Bhavya Rajeshkumar Parekh, Kevin Ashokbhai Purohit, Sahil Purushottambhai Patel, Jitendra Patel

Abstract readReview
In one paragraph

Review in Journal of pharmacy & bioallied sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

7 authors.

Harshkumar N PatelDepartment of Medicine, GMERS Medical College, Vadnagar, Gujarat, India.
Nilam Hardik PatelDepartment of Pathology, Dr N D Desai Faculty of Medical Science and Research, Dharmsinh Desai University, Nadiad, Gujarat, India.
Sanket MathukiyaDepartment of Medicine, GMERS Medical College, Vadnagar, Gujarat, India.
Bhavya Rajeshkumar ParekhDepartment of Medicine, Government Medical College, Bhavnagar, Gujarat, India.
Kevin Ashokbhai PurohitDepartment of Physiology, GMERS Medical College, Vadnagar, Gujarat, India.
Sahil Purushottambhai PatelDepartment of Health, CHC Dingucha, Gandhinagar, Gujarat, India.
Jitendra PatelDepartment of Physiology, GMERS Medical College, Vadnagar, Gujarat, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genomic medicine, an emerging field integrating genetic and genomic information into clinical practice, has revolutionized disease prevention, diagnosis, and treatment. Advances in next-generation sequencing, personalized medicine, and pharmacogenomics have enabled precise risk assessment, early disease detection, and tailored therapeutic interventions. The application of genomic medicine spans various medical fields, including oncology, cardiology, neurology, and infectious diseases, facilitating targeted therapies and improving patient outcomes. Additionally, gene-editing technologies such as CRISPR-Cas9 hold promise for correcting genetic disorders at the molecular level. Despite its potential, challenges such as ethical concerns, data privacy, and accessibility remain critical considerations. This review explores the latest advancements, clinical applications, and future prospects of genomic medicine in disease prevention and treatment.

Indexed as

CRISPR-Cas9disease preventiongene editinggenetic screeningGenomic medicinemolecular diagnosticspersonalized therapypharmacogenomicsprecision medicine

Identifiers

PMID40655732
PMCPMC12244709

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
Read underepoch 390

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.