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Record W4401709996 · doi:10.3171/case2434

Permanent unilateral visual loss and orbital compartment syndrome following unilateral frontal craniotomy: illustrative case

2024· article· en· W4401709996 on OpenAlexaff
Abdulaziz A. Basurrah, Abdulgadir Atteiah, Balgees Ajlan, Irshad A. Subhan, Mohammed S Alharthi, Essam M. Rezk

Bibliographic record

VenueJournal of Neurosurgery Case Lessons · 2024
Typearticle
Languageen
FieldMedicine
TopicIntraoperative Neuromonitoring and Anesthetic Effects
Canadian institutionsDalhousie University
Fundersnot available
KeywordsCraniotomyMedicineCompartment (ship)SurgeryGeology

Abstract

fetched live from OpenAlex

BACKGROUND: Vision loss following supine craniotomy is an unexpected and devastating complication for the patient and the operating team. Postoperative vision loss (POVL) is commonly associated with cardiac, spinal, neck, and prone head surgeries, as they share common risk factors, such as a prone position, intraoperative hypotension, a longer anesthesia duration, and the use of vasopressors. Herein, the authors report a case of irreversible vision loss following a frontal craniotomy in the supine position together with a review of the literature. All published cases in the literature since the first reported case in 1970 are summarized. Possible etiologies and proposed preventive measures are discussed. OBSERVATIONS: Different pathologies, such as vascular, intra-axial, and extra-axial lesions, are associated with POVL and have similar clinical courses and nonrecovery rates, which raises the question of whether POVL begins during the exposure part of these surgeries. LESSONS: Preventive measures could include avoiding direct ocular pressure during flap reflection, the use of elastic bands or fishhooks to avoid stretching the orbital contents and impairing venous outflow, and a careful review of the venous drainage of frontal tumors, which could help avoid unnecessary large venous thrombi or waxing. The role of intraoperative visual neurophysiological monitoring in predicting POVL requires further exploration. https://thejns.org/doi/10.3171/CASE2434.

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)0.002
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 score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.002
Scholarly communication0.0010.002
Open science0.0010.002
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0030.001

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 head0.023
GPT teacher head0.326
Teacher spread0.304 · 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
Published2024
Admission routes1
Has abstractyes

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