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Record W2984080556 · doi:10.1136/bcr-2019-232191

Bilateral sixth nerve palsies from carotid cavernous fistulas with transient worsening following transvenous embolisation

2019· article· en· W2984080556 on OpenAlexaff
Sivaruben Kalaichandran, Jonathan A. Micieli

Bibliographic record

VenueBMJ Case Reports · 2019
Typearticle
Languageen
FieldMedicine
TopicVascular Malformations Diagnosis and Treatment
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicineCavernous sinusDiplopiaSurgeryAngiographyPalsyOculomotor nerve palsySixth nerve palsyCarotid-cavernous fistulaCatheterRadiology

Abstract

fetched live from OpenAlex

A 59-year-old man presented with a 2-week history of binocular horizontal diplopia worse when looking to the left. He was diagnosed with a left sixth nerve palsy (6 NP) and had new bilateral findings at a 2-week follow-up with new dilated episcleral blood vessels. Bilateral carotid-cavernous fistulas (CCFs) were suspected and confirmed with CT angiography and catheter angiography. He underwent successful coil and Onyx embolisation of the left cavernous sinus and immediately noticed worsening of the double vision when looking left due to a worse left 6 NP. Three weeks later, he underwent similar treatment of the right CCF and immediately noticed worsening of the double vision when looking to the right and was found to have a worse right 6 NP. His double vision resolved 6 months later. CCFs are rare causes of bilateral 6 NPs and although there is a good prognosis, symptoms may worsen after treatment.

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)0.004
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 score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.003
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 head0.258
Teacher spread0.245 · 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

Citations6
Published2019
Admission routes1
Has abstractyes

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