Evidence map›Paper›PMID 40595684›Full record

ReviewNPJ Parkinson's disease2025

Patient, target, device, and program selection for DBS in Parkinson's disease: advancing toward precision care.

Aparna Wagle Shukla, Manuel Bange, Muthuraman Muthuraman

Abstract readReview
In one paragraph

Review in NPJ Parkinson's disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Psychiatric consultation outcomes in deep brain stimulation candidacy: clinical and psychosocial correlates from a retrospective cohort.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
    Article
  3. Article
  4. Focused Ultrasound for the Treatment of Circuit and Molecular Pathology in Parkinson's Disease.Movement disorders : official journal of the Movement Disorder Society · 2026
    Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
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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

3 authors.

Aparna Wagle ShuklaNorman Fixel Institute for Neurological Diseases, University of Florida, Gainesville, FL, USA. aparna.shukla@neurology.ufl.edu.
Manuel BangeInformatics for Medical Technology, Institute of Computer Science, University Augsburg, Augsburg, Germany.ORCID http://orcid.org/0000-0002-5247-8810
Muthuraman MuthuramanInformatics for Medical Technology, Institute of Computer Science, University Augsburg, Augsburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In Parkinson's disease (PD), several key factors influence patient selection for deep brain stimulation (DBS) as they directly affect long-term outcomes. A comprehensive interdisciplinary assessment is the first step to evaluating risks, benefits, and establishing appropriate goals. Patient-defined symptom priorities play a critical role in selecting the brain target for DBS. The entry of multiple manufacturers of hardware has spurred a rapid acceleration of technological progress. While innovations in programming such as sensing-based physiology-guided programming have introduced the concept of delivering an optimal or "Goldilocks dose", a precise, personalized therapy to address specific PD symptoms, image-guided programming acts like a "GPS," enabling faster determination of dose parameters. Emerging tools such as adaptive and automated programming offer clinicians the potential to provide optimal, energy-efficient stimulation. This review, integrating both old and well-established knowledge and new insights, provides a comprehensive summary of the multidimensional aspects of patient selection, target-specific benefits, advancements in hardware technology, and innovative strategies that are either currently available or on the horizon for DBS programming.

Identifiers

PMID40595684
PMCPMC12215258

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.