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Record W2794407417 · doi:10.1093/jcag/gwy009.240

A240 BOWEL PREPARATION INDUCED MONOCULAR BLINDNESS

2018· article· en· W2794407417 on OpenAlexaff
Natasha Bollegala, Michael Jason Bernstein

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2018
Typearticle
Languageen
FieldMedicine
TopicOcular Infections and Treatments
Canadian institutionsSunnybrook Health Science CentreWomen's College Hospital
Fundersnot available
KeywordsBlindnessMonocularOptometryMedicineOphthalmologyComputer visionComputer science

Abstract

fetched live from OpenAlex

The authors present an association between bowel preparation induced dehydration and acute cataract worsening. This association was identified through a clinical case encountered during routine practice. A 63 year old man was seen for average risk colorectal cancer (CRC) screening. His past medical history was significant for coronary artery disease, dyslipidemia, hypertension, type 2 diabetes, benign prostatic hyperplasia, degenerative disc disease, right cataract surgery. Medications included ASA, atorvastatin, gliclazide, janumet, ramipril, indapamide, ezetimibe, insulin glargine. He had no allergies to medications. He was married, had 2 adult children, was born in Sri Lanka, worked as an auditor and was functionally independent. He was an ex-smoker, and drank 2 alcoholic beverages per night. Family history was unremarkable for gastrointestinal conditions.Colonoscopy was performed for routine CRC screening. Bowel preparation consisted of 4 liters of Go-Lytely the day prior to the procedure. His procedure was conducted as an out-patient within a tertiary care teaching hospital. The colonoscopy was uncomplicated and the examination was normal. He was discharged home and resumed his normal diet and normal medications. Shortly after the colonoscopy, the patient experienced a rapid loss of visual acuity in the left eye, which worsened over the following 48 hours. He presented to the emergency department for evaluation. A CT head was performed showing only scattered white matter changes secondary to mild microangiopathic changes, mild right maxillary fluid but no obvious cerebrovascular accident (CVA). He was referred to ophthalmology who confirmed the acuity loss (the patient was only able to count fingers) and performed fundoscopy after pupillary dilation identifying a dense white cataract. There was low clinical suspicion for giant cell arteritis, no relative afferent pupillary defect to suggest central retinal artery occlusion or central retinal vein occlusion (although fundoscopy was limited due to the cataract itself). The patient was told that that acute worsening of cataracts can occur due to dehydrationand this was likely induced by the bowel preparation. He was also seen by the general internal medicine service who felt the likelihood of CVA, given the absence of focal neurological deficits (aside from the visual acuity loss), was low. The patient underwent successful cataract excision and lens replacement 6 weeks later, with a return to normal left eye vision. While acute dehydration is a known risk factor for worsening of cataracts, a review of the literature did not demonstrate any reported association between colonoscopy bowel preparation, dehydration and acute cataract worsening. The product monograph for GoLytely does not list this as a potential adverse effect. This is the first case report documenting such an association. None

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 score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.012
GPT teacher head0.270
Teacher spread0.257 · 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

Citations1
Published2018
Admission routes1
Has abstractyes

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