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Record W2507843403 · doi:10.14740/jmc.v7i9.2591

A Case of Transient Loss of Vision Following Coronary Angiography: Etiology, Investigation and Management

2016· article· en· W2507843403 on OpenAlexvenueno aff
Elizabeth McElnea, David Gallagher, Khaldoon Al-Tahs, Thomas J. Kiernan

Bibliographic record

VenueJournal of Medical Cases · 2016
Typearticle
Languageen
FieldMedicine
TopicRetinal and Optic Conditions
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineCortical blindnessCoronary angiographyBlindnessAngiographyEtiologyRadiologyContrast (vision)Contrast mediumMyocardial infarctionCerebral angiographyVisual DisturbanceVisual HallucinationComplicationCardiologyInternal medicineSurgeryOptometryAudiology

Abstract

fetched live from OpenAlex

Cortical blindness is, thankfully, a rarely encountered complication of coronary angiography. We present the case of a 72-year-old Caucasian gentleman in whom bilateral visual loss occurred abruptly after exposure to contrast during diagnostic coronary angiography. Areas of acute cerebral infarction were not appreciated at initial cranial computed tomography. Leakage of contrast medium into the occipital cortices was similarly absent. The patient recovered vision within 24 hours. Given the frequency with which coronary angiography is performed worldwide, an awareness of the causes of cortical blindness following the same is important. Although already well elaborated in the literature related to both cardiology and radiology, there are few reports in the general medical or ophthalmology literature that describe transient cortical blindness after coronary angiography and detail contrast-associated visual loss. J Med Cases. 2016;7(9):379-383 doi: http://dx.doi.org/10.14740/jmc2591w

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)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.438
Threshold uncertainty score0.131

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.022
GPT teacher head0.309
Teacher spread0.287 · 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 designObservational
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

Citations0
Published2016
Admission routes1
Has abstractyes

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