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Record W2562493693 · doi:10.1097/icb.0000000000000494

CRYSTALLINE RETINOPATHY AND RETINAL VASCULOPATHY IN CALCIFIC UREMIC ARTERIOLOPATHY (CALCIPHYLAXIS)

2016· article· en· W2562493693 on OpenAlexaff
Jonathan Naysan, Kunal K. Dansingani, Chandrakumar Balaratnasingam, Sarah Mrejen, Steven Levasseur, Andrew Merkur, Lawrence A. Yannuzzi

Bibliographic record

VenueRetinal Cases & Brief Reports · 2016
Typearticle
Languageen
FieldMedicine
TopicParathyroid Disorders and Treatments
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedicineCalciphylaxisRetinalFluorescein angiographyOphthalmologyPathologyCalcification

Abstract

fetched live from OpenAlex

PURPOSE: To report the posterior segment and retinal vascular manifestations of calcific uremic arteriolopathy (calciphylaxis). Clinical findings are correlated with multimodal imaging results. METHODS: Observational case report. RESULTS: A 65-year-old white woman on hemodialysis was referred for assessment of poor vision bilaterally. Clinical examination demonstrated a crystalline retinopathy with stigma of previous retinal arterial occlusion. Fluorescein angiography revealed delayed retinal arterial filling bilaterally, sheathing of vessels, and peripheral nonperfusion. The crystals were hyperautofluorescent. Spectral domain and enhanced depth imaging optical coherence tomography localized the crystals within the retina with a predilection for the retinal arterial vasculature. The choriocapillaris was not involved. Two years prior, the patient developed necrotic skin lesions which were biopsied and confirmed the diagnosis of calciphylaxis. CONCLUSION: Calcific uremic arteriolopathy is an extremely rare cause of thrombogenic microangiopathy in end-stage renal disease patients. Retinal arterial occlusion appears to be a rare but significant cause of visual loss in this disease and is likely to be consequent to crystalline deposition in the retinal vasculature.

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)0.001
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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.014
GPT teacher head0.267
Teacher spread0.253 · 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
Published2016
Admission routes1
Has abstractyes

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