Origens do carcinoma mucoepidermoide central: revisão sistemática
Bibliographic record
Abstract
O carcinoma mucoepidermoide é um tumor maligno geralmente associado a glândulas salivares. Apenas de 2-4% de todos os carcinomas mucoepidermoides apresentam sítio primário intraósseo (carcinoma mucoepidermoide central), cuja etiogenia permanece obscura, justificando a importância de se pesquisar o assunto. Objetivo: Conhecer a(s) etiologia(s) mais provável(is) do carcinoma mucoepidermoide intraósseo. Método: revisão sistemática de acordo com as recomendações do PRISMA (Preferred Reporting itens for Systemstic Review and Meta-analysis Statement). As bases de dados consultadas foram: PubMed, Portal CAPES e Google acadêmico, e após aplicação dos critérios de inclusão e exclusão foram selecionados sete artigos que atenderam o objetivo da pesquisa, para os quais aplicaram-se a ferramenta Newcastle-Ottawa para análise de risco de viés e qualidade metodológica. A busca, seleção, extração e risco de viés foram feitas por três pesquisadores independentes Resultados: São duas as principais hipóteses etiológicas do carcinoma mucoepidermoide intraósseo: (1) derivado de um cisto odontogênico e (2) derivado de restos ectópicos. Conclusões: Ao que as evidências indicam o potencial pluripotente de células contidas nos cistos odontogênicos seria o responsável pela metaplasia e posterior carcinogênese. Nos casos derivados de restos ectópicos é clara a associação com a translocação t(11;19) e o transcrito de fusão CTRC1-MAML2 como um evento precoce ou etiológico.
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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 | 0.045 | 0.127 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.006 |
| Bibliometrics | 0.018 | 0.017 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".