Palmar Fasciitis and Polyarthritis Syndrome: A Rare Paraneoplastic Syndrome in a Patient With Prostate Carcinoma
Bibliographic record
Abstract
gene mutation). Prostatectomy and regional radiotherapy were performed and goserelin, a luteinizing hormone-releasing hormone (LHRH) analog, had been started because of disease progression. Castration-resistant progressive disease developed, and enzalutamide was added. A decrease of the prostate-specific antigen (PSA) level was achieved. Before the start of enzalutamide, the patient developed bilateral pain and stiffness of both hands combined with thickening of the hands. The symptoms progressed rapidly to bilateral flexion and extension contractures. The patient became unable to tie his shoelaces and had to use adjusted cutlery to eat. Consultation of the rheumatologist, X-rays, ultrasound and palmar skin biopsy of the hands were performed. The clinical picture resembles descriptions of "palmar fasciitis and polyarthritis syndrome" (PFPAS), a rare paraneoplastic syndrome. Positive effects of immunosuppressive medication have been reported in some cases. In our patient, treatment with oral prednisone (30 mg daily) showed no effect, therefore treatment was switched to methylprednisone pulses and methotrexate. PFPAS is an uncommon paraneoplastic syndrome characterized by rapid onset of bilateral arthritis of the hands, fasciitis of the palms, progressive stiffness and contractures. The scarcity of knowledge about PFPAS makes it difficult to recognize it at an early stage. As a paraneoplastic syndrome, it has been linked to various malignancies. Thus far, PFPAS has been described in only two other cases of prostate cancer.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 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".