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Record W3151610188 · doi:10.14740/jem227w

Autoimmune Polyglandular Syndrome Type II: Epidemiological, Clinical and Immunological Data

2014· article· en· W3151610188 on OpenAlexvenueno aff
Fatma Fatma

Bibliographic record

VenueJournal of Endocrinology and Metabolism · 2014
Typearticle
Languageen
FieldMedicine
TopicAdrenal Hormones and Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineType 1 diabetesThyroiditisAutoimmune thyroiditisEpidemiologyDiabetes mellitusPopulationOutpatient clinicInternal medicineDiseaseThyroid diseasePediatricsAnti-thyroid autoantibodiesThyroidAutoantibodyImmunologyEndocrinologyAntibody

Abstract

fetched live from OpenAlex

Background: Autoimmune polyglandular syndrome (APS) is characterized by the coexistence of several autoimmune diseases, affecting predominantly the endocrine glands. APS type I is distinguished from type II in which autoimmune thyroiditis, Addison’s disease and diabetes type 1 predominate. This article summarizes extensive epidemiological, clinical, and immunological data of a large population of Tunisian patients with APS II. Methods: In a retrospective case finding study, we collected data from patients with APS type II who had been treated in our endocrine outpatient clinic between 1980 and 2007. One hundred and six patients fulfilled the criteria of APS II. Results: Among these patients, 73 were female and 33 were male (mean age 36 and 42 years, respectively; P = 0.04). The mean age at the onset was 38 ± 14.9 years. Of the 106 patients, 76 had hypothyroidism due to autoimmune thyroiditis while 23 had hyperthyroidism (Grave’s disease). Sixty-six patients had type I diabetes mellitus (60.6% females and 39.5% males; P = 0.01). Addison’s disease was diagnosed in 39 patients, primary hypogonadism in 12 cases (11 females and one male), and neuro-hypophysitis was less frequently noted (n = 6). The most frequent coexistence of APS component diseases was between type I diabetes and thyroid disease (56.2%). The time interval between the advent of the first and the second autoimmune endocrinopathies varied considerably with longest time intervals between diabetes type I and thyroid disease and shortest time intervals between Addison’s disease and thyroid disease. Regarding autoantibodies in patients with APS II, anti-thyroid peroxidase antibodies were detected in 67.6%, thyroid stimulating hormone-receptor antibodies in 58%, and anti-thyroglobulin were less frequently positive (43.3%). Type I diabetes-associated antibodies against islet cell (islet cell autoantibodies) and glutamic acid decarboxylase were found in 23.6% and 51.8%, respectively. Antibodies to adrenal cortex were observed in 9.7% and ovarian antibodies in 8.8%. Conclusion: The present study indicates that most patients with autoimmune thyroid disease will not develop additional endocrine disease. If they do, when a thyroid disease was as a first component disease, the time interval until the onset of a further autoimmune disease was relatively short and when thyroid disease was a second component disease a longer period of time elapsed. J Endocrinol Metab. 2014;4(4):101-109 doi: http://dx.doi.org/10.14740/jem227w

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)0.001
metaresearch head score (Gemma)0.002
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 score0.575
Threshold uncertainty score0.401

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.074
GPT teacher head0.360
Teacher spread0.286 · 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
Published2014
Admission routes1
Has abstractyes

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