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Record W3090519432 · doi:10.1136/bcr-2020-235077

Neurosarcoidosis presenting with hypopituitarism

2020· article· en· W3090519432 on OpenAlexaff
Elina Liu, Axel Rohr, Mohammed Almehthel

Bibliographic record

VenueBMJ Case Reports · 2020
Typearticle
Languageen
FieldMedicine
TopicSarcoidosis and Beryllium Toxicity Research
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedicineNeurosarcoidosisSarcoidosisHypopituitarismPituitary disorderPituitary stalkRheumatologyInternal medicineNeurologyRare diseasePediatricsDiseasePathologyPituitary glandHormone

Abstract

fetched live from OpenAlex

Hypothalamo-pituitary sarcoidosis is a rare manifestation of sarcoidosis, usually presenting alongside other symptoms of neurosarcoidosis. We describe the case of a 58-year-old man from Ghana who presented with progressive gait disturbance, cognitive dysfunction, hypothermia and bradycardia. He was found to have pituitary stalk thickening on imaging, and lymph node biopsy identified non-caseating granulomatous disease. Serology revealed gonadotropin deficiency, hypothyroidism and central adrenal insufficiency. Treatment with immunomodulatory therapy resulted in resolution of findings on imaging and improved cognition, though pituitary function never recovered. Treatment for his sarcoidosis unfortunately resulted in recurrent infections and avascular necrosis. Work-up, management and ongoing care required multidisciplinary cooperation between the admitting internal medicine team, infectious diseases, respirology, rheumatology, endocrinology and neurology.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0020.002
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.068
GPT teacher head0.342
Teacher spread0.273 · 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 source (direct Gemma or distilled Codex), 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

Citations7
Published2020
Admission routes1
Has abstractyes

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