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Use of Aripiprazole in a Patient With Multiple Sclerosis Presenting With Paranoid Psychosis

2010· review· en· W2017122099 on OpenAlex

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

VenueJournal of Psychiatric Practice · 2010
Typereview
Languageen
FieldMedicine
TopicMultiple Sclerosis Research Studies
Canadian institutionsColumbia College
Fundersnot available
KeywordsAripiprazoleParanoid schizophreniaPsychosisPsychiatryMedicineSchizophrenia (object-oriented programming)Multiple sclerosisPediatricsPsychology

Abstract

fetched live from OpenAlex

Multiple sclerosis (MS) is an autoimmune neurodegenerative disorder of the central nervous system (CNS). A significant percentage of MS patients will develop neuropsychiatric symptoms during their lifetime; affective symptoms are most common, but psychosis is reported in approximately 1% of patients. Atypical antipsychotics are commonly prescribed for treatment of psychotic symptoms and a recent case report demonstrated the benefit of oral aripiprazole 10 mg in treating paranoid-hallucinatory psychosis in a patient with MS. We report on a 46-year-old African-American female diagnosed with MS who was admitted with delusional and paranoid behavior. She had no history of mental illness and had a negative urine drug screen on admission. Following 3 days of treatment with oral aripiprazole, the patient became more cooperative with hospital staff, took her prescribed medications, and demonstrated a reduction in paranoid behavior and delusional thinking. She was discharged on oral aripiprazole 10 mg twice daily. This case report suggests the benefit of aripiprazole for psychotic symptoms in MS. Further study of aripiprazole's efficacy is needed to confirm these findings.

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)0.002
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.960
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.003
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 head0.127
GPT teacher head0.377
Teacher spread0.250 · 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