Case report on Cotard’s syndrome (CS) in a patient with schizophrenia: a rare case from Malaysia
Bibliographic record
Abstract
Abstract Background Cotard’s syndrome (CS) is a neuropsychiatric condition marked by nihilistic delusional(s). Due to its rarity, misdiagnosis of the syndrome often occurs. The current case study is of a Malaysian woman who was misdiagnosed for several years by professionals due to the presence of hypochondriac symptoms before receiving the correct diagnosis. Case presentation In this case presentation, we describe the case of L, a 42-year-old Malaysian lady who was first misdiagnosed with depression. The diagnosis of schizophrenia and CS was confirmed after thorough clinical examination, diagnostic investigations, and deliberation at a departmental forum. The patient improved after receiving electroconvulsive therapy (ECT) along with antipsychotic medications. Conclusions This case study highlights the importance of early recognition of CS by professionals as it can save time for both parties when setting up a treatment plan. Essentially, early recognition of CS in schizophrenia is paramount in the process of rapid stabilization through ECT and promotion of patient recovery.
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 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 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".