Evidence map›Paper›PMID 39656383›Full record

ReviewNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology2025

Exploring neurosurgical interventions in Alzheimer's disease: current perspectives and future directions.

Nachammai Kathiresan, Chandrabose Selvaraj, Gowtham Kumar Subbaraj, Kulanthaivel Langeswaran

Abstract readReviewLetter
PubMed Publisher
In one paragraph

Review in Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 2025. 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

4 authors.

Nachammai KathiresanDepartment of Biotechnology, Alagappa University, Science Campus, Karaikudi, Tamil Nadu, India.
Chandrabose SelvarajCsrDD Lab, Department of Microbiology, Dr. D. Y. Patil Medical College Hospital & Research Centre, Dr. D. Y. Patil Vidyapeeth (Deemed to be University), Pimpri, Pune, 411018, India.
Gowtham Kumar SubbarajFaculty of Allied Health Sciences Chettinad Hospital & Research Institute, Chettinad Academy of Research and Education (Deemed to be University), Kelambakkam, Tamil Nadu, India.
Kulanthaivel LangeswaranDepartment of Biotechnology, Alagappa University, Science Campus, Karaikudi, Tamil Nadu, India. dr.langeswaran@gmail.com.ORCID http://orcid.org/0000-0002-3154-1331

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alzheimer's Disease (AD), a neurodegenerative disorder characterized by cognitive decline, has traditionally relied on pharmacological interventions. However, the limitations of current treatments have spurred interest in neurosurgical approaches. This review explores the potential of neurosurgery, particularly deep brain stimulation (DBS), in modifying disease progression and enhancing cognitive function in AD patients. While promising, significant challenges, including surgical precision, patient variability, and ethical considerations, hinder widespread application. The future of neurosurgical interventions lies in minimally invasive techniques, novel neurostimulation methods, and precision neurosurgery guided by advanced imaging and neurophysiological mapping. As research advances, neurosurgery may emerge as a valuable tool in the comprehensive management of AD.

Indexed as

Alzheimer DiseaseDeep Brain StimulationNeurosurgical ProceduresHumansAlzheimer’s diseaseDeep brain stimulationNeurodegenerativeNeurosurgery

Identifiers

PMID39656383

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.