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Record W3116528561 · doi:10.15173/mumj.v17i1.2340

Atypical euthyroid presentation of Steroid Responsive Encephalopathy with Associated Thyroiditis

2020· article· en· W3116528561 on OpenAlexaff
Vineeth Bhogadi, Arlene Kelly-Wiggins

Bibliographic record

VenueMcMaster University Medical Journal · 2020
Typearticle
Languageen
FieldMedicine
TopicAutoimmune Neurological Disorders and Treatments
Canadian institutionsNova Scotia Health AuthorityCape Breton Regional HospitalMcMaster University
Fundersnot available
KeywordsMedicineEuthyroidEncephalopathyAutoimmune thyroiditisThyroiditisNeurocognitivePediatricsPresentation (obstetrics)DiseaseInternal medicineThyroidSurgeryCognitionPsychiatry

Abstract

fetched live from OpenAlex

Introduction
 Steroid-responsive encephalopathy with associated thyroiditis (SREAT) is an autoimmune disease associated with antithyroid antibodies. Its clinical features are variable, ranging from sudden focal neurologic deficits to progressive sub-acute cognitive decline and thus, can mimic a host of other neurological and psychiatric conditions.
 Case Presentation
 We present the case of a previously healthy 62-year-old female with rapid onset neurocognitive and functional decline. EEG and MRI findings were consistent with an encephalopathy of unknown origin. Serologic findings revealed elevated antithyroid antibodies but were otherwise insignificant.
 Conclusion
 Steroid-responsive encephalopathy with associated thyroiditis is typically a diagnosis of exclusion but should always be considered in cases of encephalopathy of unknown origin. The disorder is often underdiagnosed due to its variable presentation and poorly understood pathophysiology, but prognosis can be significantly improved with greater physician awareness and prompt management with corticosteroids.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.251
Threshold uncertainty score0.999

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.020
GPT teacher head0.231
Teacher spread0.210 · 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.

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
Published2020
Admission routes1
Has abstractyes

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