Histiocytoid Neutrophilic Dermatoses and Panniculitides: Variations on a Theme
Bibliographic record
Abstract
Requena et al, in their article titled "Histiocytoid Sweet syndrome," in 2005, established that the dermal infiltrate in some patients with Sweet's syndrome is composed of histiocyte-like immature myeloid cells, not polymorphonuclear leukocytes as is the norm. With this premise in mind, we report on 6 cases of inflammatory skin disease in which the common denominator was a dermal and/or subcutaneous infiltrate of histiocytoid myeloid cells in patients with new-onset cutaneous eruptions and systemic symptoms. The cases were diverse clinically and microscopically, fell short of the criteria necessary for a diagnosis of classical Sweet's syndrome, and were difficult to categorize at the outset. The systemic manifestations ranged from malaise alone to a combination of fever, chills, night sweats, and polyarthralgia. The clinical morphology of the cutaneous eruptions varied from being papulovesicular in 1 patient to mainly consisting of erythematous plaques and nodules in the remainder. The dermatologists' differential diagnoses included Sweet's syndrome in 3 cases, a drug eruption in 2, and other entities such as erythema nodosum and Well's syndrome. Biopsies in all cases revealed a dermal and/or subcutaneous infiltrate composed predominantly of mononuclear histiocytoid cells of myeloid origin. With the benefit of detailed clinicopathologic correlation, the cases were classified for the purpose of this report as follows: Sweet's-like neutrophilic dermatosis, histiocytoid (3 cases); subcutaneous Sweet's syndrome, histiocytoid (2 cases); histiocytoid neutrophilic dermatosis, unspecified (1 case). In addition, we describe a further instructive case that exhibited overlap with those in the series but proved ultimately to represent leukemia cutis. The spectrum of observations in this report supports and expands the original concept of histiocytoid Sweet's syndrome.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.005 |
| Scholarly communication | 0.002 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.001 | 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".