Cutaneous plasmacytosis and multinucleate cell angiohistiocytoma‐like lesion in a patient with hepatitis B: A fortuitous triad?
Bibliographic record
Abstract
A 28-year-old woman of Chinese descent, with congenital chronic hepatitis B presented with a 7-year history of erythematous-brown papules and plaques on her groins, axillae, and forehead. A first skin biopsy showed findings consistent with two concomitant, yet highly uncommon cutaneous diseases. The presence of lymphoid nodules with germinal centers and clustered polyclonal plasma cells was consistent with cutaneous plasmocytosis. Second, a diffuse proliferation of non-atypical small vessels (CD31+, CD34+, and HHV8-) in a hypercellular stroma peppered with angulated giant cells (CD163+, CD68-) was suggestive of multinucleate cell angiohistiocytoma (MCAH). Interestingly, the second biopsy of a different plaque on the forehead showed only plasmacytosis and the clinical appearance of both plaques and papules alluded to the distinct presence of both concurrent entities. We speculate the immune modulating effects of chronic hepatitis B may have led to a polyclonal plasmacytic proliferation within the dermis. Furthermore, MCAH has been reported in conjunction with other inflammatory skin diseases such as hidradenitis suppurativa and as such we propose that the MCAH lesion in our case may have arisen as a secondary, reactive process to the cutaneous plasmacytosis.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.002 |
| 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".