Schizoaffective Disorder in an Individual with Mowat-Wilson Syndrome (MWS)
Bibliographic record
Abstract
Mowat-Wilson Syndrome (MWS) is an autosomal dominant genetic syndrome caused by mutations in the ZEB2 gene. It is characterized by distinctive facial appearance, intellectual disability (ID), epilepsy, Hirschsprung disease (HSCR), and other congenital anomalies. The psychiatric symptoms, associated with MWS have rarely been reported. The following report highlights a case of schizoaffective disorder in a 24-year-old male with MWS and the challenges he encountered over his treatment course. After considering numerous diagnoses including bipolar disorder and psychosis secondary to a general medical condition, the patient was diagnosed with schizoaffective disorder. Various trials consisting of atypical antipsychotics and mood stabilizers were unsuccessful in managing his symptoms. Eventually, the patient stabilized on a medication regimen consisting of clozapine 300 mg once daily, topiramate 75 mg twice per day, and lithium 1800 mg once daily. This case report documents co-occurrence of MWS and Schizoaffective disorder.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".