Muco-cutaneous changes during long-term therapy with hydroxyurea in chronic myeloid leukaemia
Bibliographic record
Abstract
Hydroxyurea is an antimetabolite agent used in the treatment of myeloproliferative disorders and sickle cell anaemia. Although hydroxyurea is relatively well tolerated, adverse effects often involve skin and mucous membrane during long-term therapy. A group of 510 patients affected by chronic myeloid leukaemia from 1977 to 1998 has been considered. Only 158 patients were treated with hydroxyurea and fulfilled inclusion/exclusion criteria of this study. A spectrum of severe cutaneous and mucosal changes (inflammatory and neoplastic) was seen in about 13% of patients (21 patients out of 158) and was studied in detail. Cutaneous and mucosal atrophy were observed in all 21 patients. Skin atrophy was often characterized by numerous telangiectases, especially on legs and on sun-exposed sites (16/21). Cutaneous, mucosal and nail hyperpigmentation was evident, albeit with variable extent, in 10 of the 21 patients. Severe stomatitis and glossitis with flattening of papillae were another common finding. Five patients, who received a particularly long treatment with hydroxyurea, developed squamous-cell neoplasms on sun-exposed sites (both squamous-cell carcinomas and keratoacanthomas). Acral changes were characteristic and constant, including acral erythema (21/21), dermatomyositis-like changes on the dorsa of hands (7/21), ulcers localized on acral areas of legs, on genitalia and oral mucosae (20/21). The frequency and the variety of these muco-cutaneous changes are reported and the mechanisms by which hydroxyurea may induce this muco-cutaneous syndrome-like group of changes, are proposed.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".