A Review of Skin Disease in Schizophrenia
Bibliographic record
Abstract
BACKGROUND: Schizophrenia is a debilitating neuropsychiatric condition that affects 0.5% of the North American population. Skin disease in schizophrenia has not been well described. Identifying skin diseases that are commonly comorbid with schizophrenia may help clinicians address the burden of skin disease in patients with schizophrenia. SUMMARY: We conducted a nonsystematic review of the literature to identify skin diseases that may be associated with schizophrenia. We searched MEDLINE, EMBASE, and PsycINFO for articles published in English from December 2000 through April 2020 using the key words "skin disease" or "dermatological" or "dermatology" and "schizophrenia." Based on our results, we further refined the search terms to include more specific skin diseases. Schizophrenia appears to be associated with a number of skin diseases, including inflammatory dermatoses, autoimmune diseases, and certain genodermatoses. Limitations include being a nonsystematic review and the relative paucity of more rigorous clinical research using longitudinal study designs.
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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.010 | 0.011 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".