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Record W4288702900 · doi:10.53612/recisatec.v2i7.166

TUMOR DE FRANTZ: RELATO DE CASO CLÍNICO EM HOSPITAL NO NOROESTE DO ESPÍRITO SANTO - BRASIL

2022· article· pt· W4288702900 on OpenAlexaff
João Victor Martins Doro, Kamilla Faberleya Castro, Michelly Santiago Boti, Luciano Antônio Rodrigues, Welderson Luiz Spcimilli Rodrigues, Olívio Batisti Netto

Bibliographic record

VenueRECISATEC - REVISTA CIENTÍFICA SAÚDE E TECNOLOGIA - ISSN 2763-8405 · 2022
Typearticle
Languagept
FieldMedicine
TopicPancreatic and Hepatic Oncology Research
Canadian institutionsVictoria Park
Fundersnot available
KeywordsHumanitiesMedicineArt

Abstract

fetched live from OpenAlex

O tumor de Frantz é um tumor raro que acomete especialmente adolescentes e adultos jovens do sexo feminino, principalmente de etnia ou descendência negra. Em geral esse tumor apresenta-se por massa abdominal volumosa, assintomática, tendo como local de maior ocorrência a cauda do pâncreas e menor ocorrência a cabeça desta glândula. O tratamento é a ressecção radical, sendo recomendado estender a extirpação nas áreas de metástase, caso estejam presentes. Por se tratar de uma situação atípica no cenário prático da clínica e a patologia ser pouco conhecida entre os profissionais de saúde, este relato de caso clínico torna-se de grande importância uma vez que se trata de um caso que possivelmente contribuirá com a consolidação do conhecimento sobre o referido tumor. O relato de caso tem como objetivo descrever os principais achados sintomatológicos, bem como, a evolução clínica através da descrição de exames complementares deste paciente com tumor de Frantz. Trata-se de um estudo observacional, documental e descritivo de um caso clínico do tumor de Frantz, o qual foi submetido ao tratamento cirúrgico realizado na região noroeste do Estado do Espírito Santo – Brasil.

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)0.007
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.396
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.008
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0010.003
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0030.003
Research integrity0.0010.006
Insufficient payload (model declined to judge)0.0180.004

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 head0.020
GPT teacher head0.309
Teacher spread0.289 · 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 designObservational
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

Citations0
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueRECISATEC - REVISTA CIENTÍFICA SAÚDE E TECNOLOGIA - ISSN 2763-8405Same topicPancreatic and Hepatic Oncology ResearchFrench-language works237,207