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Record W4400347985 · doi:10.1097/yct.0000000000001048

Psychosis in Fahr Syndrome

2024· article· en· W4400347985 on OpenAlexaff
Weam Sieffien, Sylvia Sorial, Robert Ure, Marina Golts

Bibliographic record

VenueJournal of Ect · 2024
Typearticle
Languageen
FieldMedicine
TopicThyroid and Parathyroid Surgery
Canadian institutionsMount Sinai HospitalUniversity of Toronto
Fundersnot available
KeywordsPsychosisPsychiatryMedicineEpilepsyPsychologyPediatrics

Abstract

fetched live from OpenAlex

ABSTRACT: Fahr syndrome is a rare neurological disorder characterized by a combination of neurological and psychiatric symptoms. Despite its complexity, there is a significant scarcity of literature addressing the treatment of the psychiatric symptoms of Fahr syndrome. This case report discusses the complexity of management of psychosis in patients with Fahr syndrome emphasizing the delicate balance required to address both psychiatric and neurological symptoms. It underscores the need for a collaborative treatment approach. Furthermore, this case report explores the potential role for electroconvulsive therapy (ECT) in management of psychosis in Fahr syndrome, a topic for which there is limited existing literature. We aim to contribute to bridging this fap with our report.

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 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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.396
Threshold uncertainty score0.186

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 head0.018
GPT teacher head0.309
Teacher spread0.291 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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
Published2024
Admission routes1
Has abstractyes

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