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Record W2972873618 · doi:10.1097/icu.0000000000000616

Advances in the diagnosis of giant cell arteritis

2019· review· en· W2972873618 on OpenAlexaff
Edsel Ing, Christian Pagnoux, Nurhan Torun

Bibliographic record

VenueCurrent Opinion in Ophthalmology · 2019
Typereview
Languageen
FieldMedicine
TopicVasculitis and related conditions
Canadian institutionsMount Sinai HospitalUniversity of TorontoToronto East General Hospital
Fundersnot available
KeywordsMedicineGiant cell arteritisTemporal arteryRadiologyGuidelineOphthalmic arteryArteritisBiopsyVasculitisPathologyCardiologyInternal medicineDiseaseBlood flow

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: To summarize recent advances in the diagnosis of giant cell arteritis (GCA). RECENT FINDINGS: Less common manifestations of GCA include corneal edema, proptosis from lacrimal gland ischemia and sensorineuronal hearing loss. Histology studies have suggested that temporal artery biopsies (TAB) with fixed specimen lengths of 15 mm may be adequate to prevent false negative biopsies. In centers with appropriate radiologic expertise, a European rheumatology consensus guideline has proposed Doppler ultrasound as a first-line confirmatory test for GCA in lieu of temporal artery biopsy. Finding extracranial large vessel disease can help to diagnose GCA. Statistical prediction rules can help risk stratify patients with suspected GCA. Age and platelet level when maintained as continuous variables are the strongest predictors for GCA. SUMMARY: GCA can present with diverse ophthalmic and systemic presentations and expedient recognition of same can avoid diagnostic delay and possible vision loss, among other complications. TAB remains the conventional diagnostic standard test for GCA. The use of statistical prediction models and increased expertise in noninvasive imaging techniques such as ultrasound may decrease reliance on TAB, especially in patients determined to be at low risk for GCA.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.952
Threshold uncertainty score0.693

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0000.000

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 head0.122
GPT teacher head0.427
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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations5
Published2019
Admission routes1
Has abstractyes

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