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Radioterapia e Hormonioterapia no Câncer de Próstata de Risco Intermediário: uma Revisão Crítica

2015· article· pt· W2989778186 on OpenAlexaff
Rejane Franco, Luís Souhami

Bibliographic record

VenueRevista Brasileira de Cancerologia · 2015
Typearticle
Languagept
FieldMedicine
TopicProstate Cancer Diagnosis and Treatment
Canadian institutionsMcGill University
Fundersnot available
KeywordsMedicineRadiation therapyRandomized controlled trialUrologyInternal medicine

Abstract

fetched live from OpenAlex

Introdução: O tratamento padrão da neoplasia prostática de alto risco e o uso combinado de radioterapia (RT) e hormonioterapia (HT). Em relação aos pacientes estratificados como risco intermediário, o tratamento hormonal associado a RT permanece controverso, devendo ter indicação criteriosa e baseada em evidencias disponíveis. Objetivo: Avaliar criticamente os resultados publicados na literatura com o uso de hormônio por curto tempo, período médio de seis meses, associado a RT no tratamento de pacientes com neoplasia prostática localizada e classificada como risco intermediário. Método: Revisão de literatura com estudos randomizados utilizando RT e HT para pacientes com câncer de próstata de risco intermediário foram encontrados e considerados. Busca estruturada por meio do ‘PubMed’ com os termos ‘androgen supression therapy’, ‘radiotherapy’, ‘randomized trials’, ‘phase 3 trial’, ‘prostate cancer’ e ‘intermediate risk’. Resultados: Quatro estudos randomizados comparando RT versus RT e HT de curta duração foram considerados. A maioria agrupa pacientes com riscos intermediário e alto e não os separa exclusivamente pela estratificação do risco intermediário. Os dados encontrados, no entanto, sugerem beneficio significativo de sobrevida livre de doença, sobrevida livre de falha bioquímica e sobrevida global para o uso do tratamento combinado. Conclusão: Por meio dos estudos publicados ate o momento, observaram-se melhores resultados para o grupo de tratamento combinado de RT com HT. Dados de estudos randomizados comparando RT isolada versus RT e HT de curta duração avaliando apenas pacientes com risco intermediário estão sendo realizados.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.031
metaresearch head score (Gemma)0.075
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.031
Threshold uncertainty score0.165

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0310.075
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0060.008
Science and technology studies0.0010.007
Scholarly communication0.0060.005
Open science0.0030.002
Research integrity0.0040.008
Insufficient payload (model declined to judge)0.0040.001

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.

Opus teacher head0.039
GPT teacher head0.322
Teacher spread0.283 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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".

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Citations0
Published2015
Admission routes1
Has abstractyes

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