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Record W1973545276 · doi:10.5402/2011/462759

Growth Hormone Deficiency, Short Stature, and Juvenile Rheumatoid Arthritis in a Patient with Autoimmune Polyglandular Syndrome Type 1: Case Report and Brief Review of the Literature

2011· article· en· W1973545276 on OpenAlexafffund
Teresa Pun, Vikram Chandurkar

Bibliographic record

VenueISRN Endocrinology · 2011
Typearticle
Languageen
FieldMedicine
TopicAdrenal Hormones and Disorders
Canadian institutionsMemorial University of Newfoundland
FundersMemorial University of Newfoundland
KeywordsMedicineHypoparathyroidismShort statureGrowth hormone deficiencyAdrenal insufficiencyJuvenile rheumatoid arthritisRheumatoid arthritisPediatricsType 1 diabetesChronic mucocutaneous candidiasisInternal medicineDermatologyArthritisDiabetes mellitusEndocrinologyDiseaseHormoneGrowth hormone

Abstract

fetched live from OpenAlex

Autoimmune polyglandular syndromes (APSs) include a cluster of autoimmune and nonautoimmune conditions which have been classified into subtypes. APSs type 1 is characterized by at least two of the following: chronic mucocutaneous candidiasis, chronic hypoparathyroidism, and autoimmune Addison's disease (AD). We report the chronological history of a female patient who presented with features most consistent with APS type 1, along with growth hormone deficiency and juvenile rheumatoid arthritis (JRA). In terms of her autoimmune diagnoses, she first presented with JRA at three years of age, then hypocalcemia and hypoparathyroidism at five years of age, type 1 diabetes (DM 1) at age eleven years, adrenal insufficiency at age fourteen years, recurrent mucocutaneous candidiasis as a teenager, growth hormone deficiency at age fourteen years leading to significant short stature, primary amenorrhoea, and hypogonadism, and finally alopecia at age twenty-six years. In addition to this, she has suffered other nonautoimmune medical problems including a Tetralogy of Fallot with a surgical repair at age six years. On review of the medical literature, we found no other previously reported case with this unique combination of medical problems.

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: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.160
Threshold uncertainty score0.426

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 head0.010
GPT teacher head0.224
Teacher spread0.214 · 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 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

Citations21
Published2011
Admission routes2
Has abstractyes

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