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Record W2910258100 · doi:10.25248/reas.e220.2019

Câncer de mama masculino: uma revisão de literatura dos último dez anos

2019· article· pt· W2910258100 on OpenAlexaff
Mario Clodoaldo Batista da Costa, Stefano do Santos Adorno, Sebastião Marden Barbosa de Araújo, Moisés Castro Saback, Kleberson Adriano Silva Gomes

Bibliographic record

VenueRevista Eletrônica Acervo Saúde · 2019
Typearticle
Languagept
FieldMedicine
TopicWomen's cancer prevention and management
Canadian institutionsCytodiagnostics (Canada)
Fundersnot available
KeywordsMedicineGynecology

Abstract

fetched live from OpenAlex

Objetivo: Revisar na literatura científica sobre o câncer de mama em homens nos últimos dez anos (2007-2017). Métodos: Desta feita, foi realizado por intermédio da condução de uma revisão bibliográfica básica e sistemática desenvolvida por meio de seleção de artigos em base de dados entre os anos 2007-2017, com o uso dos descritores câncer de mama, homens e incidência. Resultados: Observou-se que os resultados alcançados, com base nos artigos/publicações que existe uma grande influência genética em meio às ocorrências de câncer de mama masculino, como potenciais alterações. A maior frequência de ocorrências da neoplasia ocorre na faixa etária de mais de 60 anos e em indivíduos de cor branca, sendo que o câncer teve mais frequência em meio a Região Sudeste e Sul Conclusão: O câncer de mama é similar em homens e mulheres; todavia, os casos masculinos apresentam particularidades imuno-histoquímicas, mas não existem estudos suficientes para avaliar o impacto dessa característica no prognóstico e tratamento dessa neoplasia.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.391
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0170.005

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 head0.010
GPT teacher head0.283
Teacher spread0.273 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2019
Admission routes1
Has abstractyes

Explore more

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