Evidence map›Paper›PMID 41663779›Full record

ReviewActa neurologica Belgica2026

Tailoring treatments: pharmacogenomics in the management of neurodegenerative diseases.

Kishor Kumar Roy, Rashmi Kumari, Abhay Kumar Upadhyay, Satyajit Mohanty

Erratum issuedAbstract readReview
PubMed Publisher
In one paragraph

Review in Acta neurologica Belgica, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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

5 · Who and what money

Authors and funding

4 authors.

Kishor Kumar Roy *Department of Pharmaceutical Sciences, Jharkhand Rai University, Ranchi, 834010, Jharkhand, India.
Rashmi Kumari *Department of Pharmaceutical Sciences, Jharkhand Rai University, Ranchi, 834010, Jharkhand, India.
Abhay Kumar Upadhyay *Department of Pharmaceutical Sciences, Jharkhand Rai University, Ranchi, 834010, Jharkhand, India.
Satyajit MohantyDivision of Pharmacology, Department of Pharmaceutical Sciences and Technology, Birla Institute of Technology, Mesra, Ranchi, 835215, Jharkhand, India. satyajitmohanty922@gmail.com.ORCID http://orcid.org/0000-0001-6665-3432

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neurodegenerative diseases like Alzheimer's, Parkinson's, Huntington's, and amyotrophic lateral sclerosis are growing more common worldwide, yet treatment is still poor. Conventional therapies can have unforeseen side effects, produce poor medication reactions, and take longer to work. This persistent treatment gap highlights the need for novel approaches to these disorders' complex distinctions. Pharmacogenomics, which examines how genetic differences affect drug response, is a promising new subject and an urgent solution. Pharmacogenomics tailors medicine selection and administration to each patient's genetic profile, addressing the main causes of poor treatment response and preventable side effects. This research has enabled precision medicine that can improve neurodegenerative disease therapy and reduce harm. In this in-depth research, we examine neurodegenerative disease management issues, pharmacogenomics breakthroughs, and how incorporating genetics to clinical practice can improve outcomes. We examine the latest evidence that genetics affect drug breakdown, efficacy, and toxicity. We also discuss the challenges and opportunities of applying this knowledge. Pharmacogenomic approaches must be widely applied to make medicines for these awful disorders safer, more effective, and really suited to patient needs, according to our compilation.

Indexed as

Alzheimer's diseaseAmyotrophic lateral sclerosisGenetic variabilityHuntington's diseaseNeurodegenerative diseaseParkinson's diseasePersonalized medicinePharmacogenomics

Identifiers

What OpenQuestion holds

Textmetadata
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.