DOENÇA TROFOBLÁSTICA GESTACIONAL: REVISÃO DE LITERATURA
Bibliographic record
Abstract
A doença trofoblástica gestacional (DTG) é dividida em um amplo grupo de alterações que vem a partir dos tecidos que revestem as velocidades corais, isto é, o trofoblasto, visto que se multiplica de forma anormal anatomopatologicamente. Dessa maneira, a DTG é classificada em formas benignas, que compreendem as molas hidatiformes completa e parcial, e malignas, ou seja, a neoplasia trofoblástica gestacional (NTG), que são divididas em coriocarcinoma gestacional, tumor trofoblástico do sítio placentário e tumor trofoblástico epitelioide. O objetivo deste trabalho é investigar os principais aspectos clínicos e patológicos da DTG por meio de uma revisão abrangente da literatura científica, diferenciando as formas benignas e invasoras, bem como analisando o impacto do beta-hCG para o diagnóstico e o prognóstico dessa patologia, além de compreender a patogênese e o tratamento dela. Dessa maneira, a gestação com DTG apresenta riscos por causa das complicações que podem surgir e levar a desafios psicossociais com relação à gravidez e até mesmo a mortes da mãe e do feto. Nessa perspectiva, essa patologia deve ser abordada de forma multiprofissional, juntando o cuidado de toda a equipe para melhor prognóstico.
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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 | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.012 | 0.012 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 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".