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Record W6990607958

Doença de Ménétrier em mulher jovem : relato de caso

2025· other· pt· W6990607958 on OpenAlexaff

Bibliographic record

VenueLume (Universidade Federal do Rio Grande do Sul) · 2025
Typeother
Languagept
Field
Topic
Canadian institutionsCégep de Jonquière
Fundersnot available
KeywordsAnemiaSigns and symptomsContext (archaeology)Iron-deficiency anemiaPhysical examination
DOInot available

Abstract

fetched live from OpenAlex

A doença de Ménétrier é uma doença rara que acomete principalmente homens de meia idade. Caracteriza-se por pregas mucosas gigantes de corpo e fundo, hipocloridria e hipoalbuminemia secundária à perda proteica. A doença cursa com má absorção de nutrientes essenciais e se manifesta através de uma síndrome clínica de gastropatia perdedora de proteínas. Relatamos aqui o caso de uma mulher jovem que abre o quadro com uma anemia importante, alternância do hábito intestinal e edema de extremidades. A investigação inicial demonstrou hipoalbuminemia marcada. Exame endoscópico evidenciou importante espessamento do fundo e corpo gástricos além de antro poupado, com anatomopatológico compatível para o diagnóstico de Doença de Ménétrier. A paciente evoluiu com melhora clínica significativa após instituição do tratamento conservador, atualmente mantendo acompanhamento clínico regular e rastreio para neoplasias periodicamente.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
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 head0.007
GPT teacher head0.229
Teacher spread0.221 · 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 designCase report
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
Published2025
Admission routes1
Has abstractyes

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