Psychopathology Associated with Chronic Pruritus: A Systematic Review
Bibliographic record
Abstract
There are no previous studies of the psychopathology associated with different aetiologies of chronic pruritus. A systematic review was performed of cohort and case-control studies comparing healthy controls with patients with chronic pruritus related to primary dermatoses, systemic diseases, psychogenic pruritus, idiopathic pruritus, prurigo nodularis and/or lichen simplex chronicus. The review was registered in PROSPERO and performed according to the PRISMA statement, which allowed the inclusion of 26 studies. The quality of eligible studies was assessed using the modified Newcastle-Ottawa Scale. Most of the studies concern primary dermatoses and systemic diseases. Sleep disorders are a common comorbidity interrelated with pruritus, anxiety and depressive symptoms, in primary dermatoses. Sleep disorders are linked with pruritus and depressive symptoms in end-stage renal disease and hepatobiliary disease. Depressive and anxiety symptoms are associated with psychogenic pruritus. Psychogenic pruritus, lichen simplex chronicus and some primary dermatoses are linked with personality characteristics. Further studies are required to explore in depth the psychopathology linked with psychogenic pruritus and prurigo nodularis, as well as psychopathology linked with other primary dermatoses and systemic disorders associated with chronic pruritus, and to better differentiate psychogenic pruritus from psychopathological characteristics linked with other aetiologies of chronic pruritus, in order to improve the management of patients with chronic pruritus.
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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 | 0.004 | 0.024 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.006 |
| Bibliometrics | 0.008 | 0.010 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".