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Record W4401076788 · doi:10.54033/cadpedv21n7-274

Manifestações clínicas da 3-hidroxiacil-coa desidrogenase de cadeias longas (LCHAD)

2024· article· pt· W4401076788 on OpenAlexaff
Caroline da Silva Moreira, Ana Clara Vilela Leal, Ana Júlia Vilela Faria, Dayane Caroline Borges Medeiros, Eduardo Menezes da Silva, Jubiele Fernandes de Oliveira, MARIA ALICE CARDOSO MIRAS, Maria do Carmo Holanda Nunes, Maria Júlia Arantes Ramos, Ravenna Resende Novais Souza, Sarah Alves Teixeira, Thayná Alves de Azevedo, Yasmim Albernaz Maia de Godoy

Bibliographic record

VenueCaderno Pedagógico · 2024
Typearticle
Languagept
FieldBiochemistry, Genetics and Molecular Biology
TopicMetabolism and Genetic Disorders
Canadian institutionsAdidas (Canada)
Fundersnot available
KeywordsMolecular biologyChemistryHumanitiesPhilosophyBiology

Abstract

fetched live from OpenAlex

Introdução: A deficiência da enzima 3-hidroxiacil-CoA desidrogenase de cadeia longa (LCHAD) é uma doença genética recessiva causada por mutações no gene HADHA, que interfere na decomposição de gorduras. Os pacientes podem apresentar manifestações clínicas variadas, incluindo hipoglicemia, insuficiência hepática, cardiomiopatia, miopatia e até morte súbita. Objetivo: Identificar as manifestações clínicas da deficiência da enzima LCHAD para possibilitar o diagnóstico precoce da síndrome e implementação de medidas terapêuticas adequadas. Metodologia: Trata-se de uma revisão integrativa de literatura, com base em estudos dos últimos 10 anos, selecionados em bases de dados como PubMed, Biblioteca Virtual da Saúde (BVS) e Lilacs. Resultados e Discussão: As manifestações clínicas dessa síndrome podem ser súbitas e imprevisíveis, precedidas por eventos que demandam alta demanda metabólica. Os sistemas orgânicos mais impactados são aqueles com alta demanda energética, sendo eles cérebro, coração, sistema musculoesquelético e fígado. Conclusão: Esse trabalho demonstra a importância de reconhecer a doença, uma vez que, sem o manejo adequado, pode trazer complicações fatais.

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)0.001
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 categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.384
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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

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 head0.027
GPT teacher head0.311
Teacher spread0.284 · 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 teacher head, not a consensus.

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

Citations0
Published2024
Admission routes1
Has abstractyes

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