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Record W2099769268 · doi:10.1136/bcr.03.2012.5995

Large-vessel GCA or a late presentation of Takayasu's arteritis?

2012· article· en· W2099769268 on OpenAlexaff
Farhana Akter

Bibliographic record

VenueBMJ Case Reports · 2012
Typearticle
Languageen
FieldMedicine
TopicVasculitis and related conditions
Canadian institutionsASTER
Fundersnot available
KeywordsMedicineGiant cell arteritisClaudicationErythrocyte sedimentation rateArteritisRheumatologyPrednisoloneVasculitisTakayasu's arteritisInternal medicineCardiologyRadiologySurgeryDermatologyDiseaseVascular diseaseArterial disease

Abstract

fetched live from OpenAlex

Giant cell arteritis (GCA) is a vasculitis that involves medium- and large-sized vessels. Typically presenting with localised headache, temporal artery tenderness, jaw claudication and ophthalmological complications, it can also affect large vessels, leading to limb claudication. We describe a patient presenting with acute coronary syndrome but who was also noted to have absent upper limb pulses, leading to a speculative diagnosis of GCA. According to the American College of Rheumatology, the patient met the criteria for both giant cell arteritis and Takayasu's arteritis. The gold standard investigation for diagnosing GCA is the temporal artery biopsy. Although contemplated, it was argued by the reviewing rheumatologist that this would not alter her management. She was thus commenced on prednisolone 60 mg daily, which led within 2 days to a rapid fall in erythrocyte sedimentation rate to 66 mm/h, and by day 11 this had dropped further to 4 mm/h.

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: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score1.000

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)0.0010.000

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 head0.026
GPT teacher head0.332
Teacher spread0.306 · 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 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

Citations4
Published2012
Admission routes1
Has abstractyes

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