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Record W2777498803 · doi:10.1515/jpem-2017-0398

Insulin-mediated pseudoacromegaly: a report of two pediatric patients

2017· article· en· W2777498803 on OpenAlexaff
Mark D. Inman, Munier Nour

Bibliographic record

VenueJournal of Pediatric Endocrinology and Metabolism · 2017
Typearticle
Languageen
FieldMedicine
TopicSkin Diseases and Diabetes
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsMedicineHyperinsulinemiaAcanthosis nigricansPsychosocialInsulinDistressEndocrinologyInternal medicinePediatricsDiabetes mellitusGrowth hormonePediatric endocrinologyPathophysiologyInsulin resistanceHormoneClinical psychologyPsychiatry

Abstract

fetched live from OpenAlex

BACKGROUND: Insulin-mediated pseudoacromegaly is a rarely described pediatric phenotype. We present two patients displaying excessive growth associated with marked acanthosis nigricans, hyperinsulinemia and metabolic dysregulation. CASE PRESENTATION: Both patients, of First Nations descent, presented with excessive growth - patient one at 3.92 years (height z-score +3.75) and patient two at 9.0 years (height z-score 5.15). Insulin-like growth factor-1 (IGF-1) levels were normal with appropriate growth hormone suppression, yet marked hyperinsulinemia. Prepubescent growth velocities exceeded 9 cm/year, resulting in final adult height predictions exceeding 3 standard deviations (SDs) of predicted. Clinical courses were complicated by type 2 diabetes, marked acanthosis nigricans and long-standing psychosocial distress. CONCLUSIONS: Pediatric patients with insulin-mediated pseudoacromegaly are at risk of significant physical, metabolic and psychosocial comorbidities. Unlike adults, the implications in childhood prompt consideration for therapies to decelerate linear growth and avert progression to metabolic dysregulation. Increased recognition of this condition may improve pathophysiological understanding, diagnostic criteria and therapeutic options.

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)0.003
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 score0.008
Threshold uncertainty score0.645

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
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 head0.296
Teacher spread0.280 · 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

Citations3
Published2017
Admission routes1
Has abstractyes

Explore more

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