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Record W2994163914

A Rare Combination Of Endocrinopathies Associated With Camurati-Engelmann Disease

2013· article· en· W2994163914 on OpenAlexvenueno aff
Ooi Cheow Peng, Norlaila Mustafa, Norasyikin Abd Wahab, Suehazlyn Zainudin, Nor Azmi Kamaruddin

Bibliographic record

VenueJournal of Endocrinology and Metabolism · 2013
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicDermatological and Skeletal Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePathognomonicEndocrine systemEndocrine diseasePediatricsHypogonadotrophic hypogonadismDiabetes insipidusDiseasePresentation (obstetrics)Rare diseasePathologyInternal medicineSurgeryHormone
DOInot available

Abstract

fetched live from OpenAlex

A case report of a patient with the rare autosomal dominant Camurati- Engelmann Disease (CED) associated with primary hypothyroidism, hypogonadotrophic hypogonadism and central diabetes insipidus is discussed. A thirty-five year old female with CED followed up for the past 27 years in our institution has pathognomonic musculo-skeletal features and multiple endocrinopathies. The clinical history, examination, ultrasound and laboratory investigations over the 27 years were evaluated. Conclusions: The clinical presentation of patients with CED is extremely variable. Although the endocrine glands are rarely affected, it is important to understand that endocrine dysfunction may manifest at different time in the progression of CED and respond well to replacement therapies. Taken together with the unpredictable genotype-phenotype correlations, regular endocrine, neurological and cardiac assessments as well as screening for other endocrinopathies are necessary. To the best of our knowledge, this is the first case of CED presented with a combination of the above three endocrinopathies reported in the literature. Please click  PDF  below to download the full paper...

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.611
Threshold uncertainty score0.308

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 head0.007
GPT teacher head0.216
Teacher spread0.209 · 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

Citations0
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Endocrinology and MetabolismSame topicDermatological and Skeletal DisordersFrench-language works237,207