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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 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)0.001
metaresearch head score (Gemma)0.004
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 score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0050.003
Insufficient payload (model declined to judge)0.0050.001

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 head0.026
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 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

Citations4
Published2012
Admission routes1
Has abstractyes

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