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Record W3208161041 · doi:10.1136/bcr-2021-243558

Conjunctivitis, episcleritis and anterior uveitis as the first presenting features of granulomatosis with polyangiitis

2021· article· en· W3208161041 on OpenAlexaff
Lucas Donato Foster, Michael Nyugen, Edward Margolin

Bibliographic record

VenueBMJ Case Reports · 2021
Typearticle
Languageen
FieldMedicine
TopicVasculitis and related conditions
Canadian institutionsUniversity of TorontoWestern University
Fundersnot available
KeywordsMedicineEpiscleritisGranulomatosis with polyangiitisUveitisScleritisErythrocyte sedimentation rateAnti-neutrophil cytoplasmic antibodyMethylprednisolonePlasmapheresisRituximabVasculitisPathologyGastroenterologyInternal medicineOphthalmologyImmunologyAntibodyLymphoma

Abstract

fetched live from OpenAlex

Granulomatosis with polyangiitis (GPA) is a rare disorder characterised by inflammation of small-sized and medium-sized blood vessels that result in damage to various organ systems, but it most commonly affects the respiratory tract and kidneys. It is one of the few entities that can present with ocular inflammation as well as renal impairment at the same time. We describe a case of a 38-year-old man with conjunctivitis, episcleritis, anterior uveitis as a first manifestation of GPA. His presentation with red eye and anterior uveitis prompted further workup, which revealed acute renal failure (creatinine 442 mmol/L), elevated inflammatory markers (erythrocyte sedimentation rate of 85 mmol/hour and C reactive protein of 72 mg/L), and a c-antineutrophil cytoplasmic antibody titre >8. An urgent renal biopsy was performed demonstrating necrotising crescentic glomerulonephritis, which led to the final diagnosis of GPA. Treatment induction with intravenous methylprednisolone and plasmapheresis followed by an oral prednisone taper and intravenous rituximab infusions leading to resolution of all symptoms and normalisation of kidney function. This report highlights conditions that can present with both ocular inflammation and renal dysfunction with a focus on GPA and its ocular manifestations.

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: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.104
Threshold uncertainty score0.398

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)0.0000.000

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 head0.008
GPT teacher head0.257
Teacher spread0.249 · 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 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
Published2021
Admission routes1
Has abstractyes

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