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Hiperplasia adrenal macronodular independente de ACTH (AIMAH): aspectos clínicos e moleculares

2004· review· pt· W2098121201 on OpenAlexaff
Sonir Roberto Rauber Antonini, Maria Candida Barisson Villares Fragoso, André Lacroix

Bibliographic record

VenueArquivos Brasileiros de Endocrinologia & Metabologia · 2004
Typereview
Languagept
FieldMedicine
TopicBone Tumor Diagnosis and Treatments
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsReceptorHormoneAdrenocorticotropic hormoneMedicineEndocrinologyInternal medicineBiologyCancer research

Abstract

fetched live from OpenAlex

AIMAH is a clinical condition characterized by the presence of adrenal macronodules even in the absence of ACTH. Usually the clinical overt syndrome only becomes apparent after several decades of life; this is probably due to the low steroidogenic enzyme capacity of the hyperplastic tissue. However, in asymptomatic individuals in whom the AIMAH was incidentally discovered, the HHA axis is usually disrupted. In the great majority of AIMAH cases, cortisol secretion is aberrantly regulated by hormones such as GIP, AVP, beta-adrenergic agonists, LH/hCG and in some cases by serotonin, acting through their specific receptors. The molecular mechanisms responsible by ectopic expression of such hormone receptors and/or their aberrant coupling to steroidogenesis are still largely unknown. Although this aberrant expression may have an important role in the augmented cell proliferation initiation, as well as in the steroidogenesis, it is probable that additional genetic events involving cell cycle regulation, adhesion and transcription occur. In rare cases GNAS1 mutations not related to McCune-Albright syndrome may be found in this condition. In some patients, the presence of aberrant hormone receptors creates the possibility of specific pharmacological treatment, isolated or associated with unilateral adrenalectomy.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0040.003
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.002

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 head0.033
GPT teacher head0.335
Teacher spread0.302 · 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".

Quick stats

Citations10
Published2004
Admission routes1
Has abstractyes

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