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Visual Hallucinations From Retinal Detachment Misdiagnosed as Psychosis

2011· review· en· W2333590182 on OpenAlexaff
David Brda, Eric C. Tang

Bibliographic record

VenueJournal of Psychiatric Practice · 2011
Typereview
Languageen
FieldNeuroscience
TopicHallucinations in medical conditions
Canadian institutionsColumbia College
Fundersnot available
KeywordsPsychosisVisual HallucinationSchizophrenia (object-oriented programming)PsychiatryPsychologyAuditory hallucinationMood disordersAudiologyMedicineAnxiety

Abstract

fetched live from OpenAlex

Hallucinations are a common presenting symptom in schizophrenia and other psychotic disorders. In particular, auditory hallucinations, such as hearing voices, are the most common type of hallucination described in schizophrenia, while visual hallucinations are less frequently seen. Hallucinations are also present in disorders that are not primarily psychotic in nature, including mood disorders, substance-induced disorders, and psychosis due to a general medical condition. However, it is extremely important to rule out general medical causes of hallucinations, as they are often treatable and reversible, and if left untreated, the underlying non-psychiatric disorders causing them can lead to irreversible damage. We present a case in which a 48-year-old woman with schizophrenia began to complain of visual disturbances. Because of her delusional interpretation of these disturbances, they were initially attributed to psychosis, but the disturbances were in fact found to be the result of a retinal detachment.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.002

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 head0.076
GPT teacher head0.440
Teacher spread0.365 · 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 designCase report
Domainnot available
GenreReview

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

Citations3
Published2011
Admission routes1
Has abstractyes

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