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Record W2031200069 · doi:10.1159/000144046

Biochemical Evaluation of Patients with Active Acromegaly and Type 2 Diabetes Mellitus: Efficacy and Safety of the Galanin Test

2008· article· en· W2031200069 on OpenAlexaff
Gherardo Mazziotti, Stefania Bonadonna, Mauro Doga, Ilaria Patelli, Carmine Gazzaruso, S. B. Solerte, Ernesto De Menis

Bibliographic record

VenueNeuroendocrinology · 2008
Typearticle
Languageen
FieldMedicine
TopicPituitary Gland Disorders and Treatments
Canadian institutionsDiabetes Canada
Fundersnot available
KeywordsAcromegalyGalaninMedicineInternal medicineEndocrinologyDiabetes mellitusType 2 Diabetes MellitusBasal (medicine)Impaired glucose toleranceGlucose tolerance testType 2 diabetesHormoneNeuropeptideGrowth hormoneInsulin resistanceReceptor

Abstract

fetched live from OpenAlex

The oral glucose tolerance test, which is considered the gold standard for the diagnosis of active acromegaly, should not be performed in the presence of basal hyperglycemia. Moreover, false-positive responses may occur in patients with diabetes mellitus. Galanin has previously been demonstrated to induce paradoxical inhibition of growth hormone (GH) secretion in most patients with active acromegaly. In this study, we assessed GH response to galanin infusion in a series of 17 consecutive patients with active acromegaly, 7 of whom had coexistent type 2 diabetes mellitus and 10 were without either diabetes mellitus or impaired tolerance to glucose. 6 acromegalic patients with diabetes mellitus (85.7%) and 7 without diabetes (70.0%) showed a decrease in serum GH values during galanin infusion (chi2 0.9; p = 0.6). The GH nadir occurred at a comparable time in the two groups of acromegalic patients. Moreover, the two groups showed no significant difference (p = 0.45) in DeltaGH during galanin infusion. Galanin infusion did not induce any significant change in plasma glucose levels in both diabetic and non-diabetic patients with acromegaly. The results of our study provide evidence that the galanin test may be of value for the diagnosis of acromegaly in patients with type 2 diabetes mellitus.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.188

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.015
GPT teacher head0.246
Teacher spread0.232 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations14
Published2008
Admission routes1
Has abstractyes

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