Meningioma and Psychiatric Symptoms: A Case Report and Brief Review
Bibliographic record
Abstract
BACKGROUND: Atypical presentation of psychiatric symptoms can lead to a variety of misdiagnoses. Organic causes, including brain tumors, should be considered under these circumstances. METHODS: We present a case report of an 84-year-old woman with irritable, aggressive, and delusional behavior. Her earlier diagnoses included altered mental status, encephalopathy, dementia, nonspecified psychosis, and delirium with delusions. We suspected that a brain tumor could be causing her psychiatric symptoms. RESULTS: CT of the head revealed 2 calcified meningiomas, which did not require surgery. Neuropsychological testing results were consistent with frontal lesion type of cognitive and psychotic symptoms. Psychiatric symptoms improved with risperidone. A brief review of the literature is included. CONCLUSIONS: Brain imaging should be considered in cases of atypical psychiatric presentations. Past medical records and neuropsychological testing could assist in the diagnosis.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".