Mycosis Fungoides in Children and Adolescents
Bibliographic record
Abstract
Importance: Comprehensive data on childhood mycosis fungoides (MF) is scarce. Objective: To describe clinical features, immunophenotypes, various treatment options, and prognosis of MF in children and adolescents. Evidence Review: This systematic review searched MEDLINE via PubMed, Embase, Cochrane, and Scopus databases in October 2019. The search terms included mycosis fungoides, infant, children, and adolescent. No filter for the publication period was used, but studies written in a language other than English were excluded. Reference lists of the relevant articles were also searched manually. Case series and case reports were included if data on childhood MF were extractable. The Asan Medical Center database for cases of childhood MF was also searched. Patients were treated from January 1, 1990, to July 31, 2019, and were younger than 20 years at the time of diagnosis. The methodologic quality of the included studies was assessed with items from the Newcastle-Ottawa scale. Data were analyzed from December 9, 2019, to September 4, 2020. Findings: A total of 571 unique patients were included. The mean (SD) age at diagnosis was 12.2 (4.2) years; at onset, 8.6 (4.2) years. The female-to-male ratio was 1:1.6 (350 male patients [61.3%]). Among 522 patients with data available at diagnosis, stage 1 disease constituted 478 cases (91.6%), followed by stage 2 (39 [7.5%]) and stage 4 (5 [1.0%]). Among the 567 patients with data available, the most common variant of MF was the hypopigmented form (309 [54.5%]), followed by classic MF (187 [33.0%]). The MF lesions were predominantly the CD4+ and CD8+ immunophenotype in 99 (49.5%) and 79 (39.5%) of 200 patients, respectively. Among the treatments, narrowband UV-B was the most frequently used (150 of 426 [35.2%]). Most patients were alive with the disease (185 of 279 [66.3%]); 83 of 279 (29.8%) were in complete remission; and 11 of 279 (3.9%) had died by the last follow-up. A longer time from onset to diagnosis (hazard ratio [HR], 1.24; 95% CI, 1.06-1.45), granulomatous slack skin (HR, 12.25; 95% CI, 1.99-75.26), granulomatous MF (HR, 14.59; 95% CI, 1.31-162.00), a history of organ transplant (HR, 10.15; 95% CI, 0.98-105.37), and stage 2 disease at the time of diagnosis (HR, 10.22; 95% CI, 2.94-35.50) were associated with worse outcomes. Conclusions and Relevance: The findings of this review suggest that there is often a significant delay until the establishment of a correct diagnosis of childhood MF, which may be detrimental to the prognosis.
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".