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Record W1981403188 · doi:10.1159/000332610

Deep Brain Stimulation of the Subthalamic Nucleus for Parkinson’s Disease in a Patient with HIV Infection: Dual Clinical Benefit

2011· article· en· W1981403188 on OpenAlex
Miguel Gago, Maria José Rosas, Paulo Linhares, João Massano, António Sarmento, Ruí Vaz

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCase Reports in Neurology · 2011
Typearticle
Languageen
FieldMedicine
TopicNeurological disorders and treatments
Canadian institutionsCentre for Movement Disorders
Fundersnot available
KeywordsDeep brain stimulationMedicineSubthalamic nucleusParkinson's diseaseLevodopaDiseaseHuman immunodeficiency virus (HIV)Internal medicineImmunology

Abstract

fetched live from OpenAlex

As a result of the efficacy of highly active antiretroviral therapy (HAART), patients with human immunodeficiency virus (HIV) can survive longer and are thus naturally prone to ageing-related degenerative disorders such as Parkinson's disease (PD). Managing PD and HIV in the same patient may be challenging, as HAART and levodopa interact and may cause intolerable side effects. Concerns about the increased risk of hardware infection in immunocompromised patients submitted to deep brain stimulation of the subthalamic nucleus (STN-DBS) still persist. We report a PD patient with HIV infection who suffered peak-dose dyskinesias and intolerable gastrointestinal side effects while on HAART, prompting its suspension. STN-DBS allowed complete postoperative levodopa withdrawal and HAART restart, without infectious complications after 12 months of follow-up. STN-DBS seems to be a safe procedure in selected patients with both medically refractory PD and HIV infection, and may result in clinical optimization of both conditions.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.090
Threshold uncertainty score0.312

Codex and Gemma teacher scores by category

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

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 head0.036
GPT teacher head0.293
Teacher spread0.257 · 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