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Record W4408244730 · doi:10.1002/mdc3.70022

Delayed Normal Pressure Hydrocephalus after Deep Brain Stimulation in Parkinson's Disease

2025· article· en· W4408244730 on OpenAlexaff
Sruthi Kola, Madhavi Karri, Sumaiya Sehrish, Syed Tazeem Fathima, Sindhuja Mohareer, V S S V Prasad, Rukmini Mridula Kandadai, Rajesh Alugolu, Ravi Varma, Rupam Borgohain

Bibliographic record

VenueMovement Disorders Clinical Practice · 2025
Typearticle
Languageen
FieldMedicine
TopicNeurological disorders and treatments
Canadian institutionsCentre for Movement Disorders
Fundersnot available
KeywordsDeep brain stimulationNormal pressure hydrocephalusMedicineDystoniaHydrocephalusSubthalamic nucleusParkinson's diseaseCentral nervous system diseaseAnesthesiaDiseaseSurgeryInternal medicineDementia

Abstract

fetched live from OpenAlex

BACKGROUND: Deep brain stimulation (DBS) of the bilateral subthalamic nuclei (STN) or globus pallidus internus (GPi) for Parkinson's disease (PD) and dystonia is known for its efficacy despite potential complications. Although acute complications such as intracranial hemorrhage and infections are documented, delayed occurrences like normal pressure hydrocephalus (NPH) post-DBS has not been reported so far. CASES: We present a case series of seven PD patients (from 974) who developed NPH, an average of 10.9 + 3.1 years after DBS (6 STN, 1 GPi) with symptoms of cognitive decline and gait disturbances. Imaging confirmed hydrocephalus meeting NPH criteria (Radscale >4), which was further confirmed by the cerebrospinal fluid tap trial. Treatment with ventriculoperitoneal shunt placement showed significant symptom improvement. CONCLUSION: Recognizing NPH in PD patients even after DBS is crucial for early intervention and improved outcomes.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.017
GPT teacher head0.354
Teacher spread0.337 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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