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Record W2752696210 · doi:10.1016/j.inat.2017.08.009

Spontaneous intracranial hypotension resulting in coma: Case report and review of the literature

2017· article· en· W2752696210 on OpenAlexaff
Zamir Merali, Christopher D. Witiw, Shelly Wang, Nicholas Phan, Victor X. D. Yang

Bibliographic record

VenueInterdisciplinary Neurosurgery · 2017
Typearticle
Languageen
FieldMedicine
TopicNeurosurgical Procedures and Complications
Canadian institutionsSunnybrook Health Science CentreUniversity of Toronto
Fundersnot available
KeywordsMedicineEpidural blood patchCraniotomyAnesthesiaIntracranial HypotensionSurgeryIntracranial pressureComa (optics)HematomaMidline shiftMagnetic resonance imagingRadiologyComplication

Abstract

fetched live from OpenAlex

Spontaneous intracranial hypotension (SIH) has a wide range of clinical presentations. Cases of SIH that result in severe neurologic compromise have only very rarely been described. We describe our experience with a 70-year-old male who presented with a history of postural headache and imaging that demonstrated bilateral subdural hematomas. The patient's condition subsequently deteriorated and he became comatose despite an epidural blood patch and craniotomy to drain the subdural hematoma. We utilized a strategy of intraventricular saline infusion to normalize intracranial pressure. The patient ultimately required direct surgical ligation of a spinal perineural cyst before making a full recovery. Given the rarity of SIH presenting with severe neurologic deterioration and the unique treatment strategies required to manage this condition we conducted a review of the literature and discussed the management of the most severe complications of SIH.

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: none
Teacher disagreement score0.004
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.004
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.021
GPT teacher head0.317
Teacher spread0.296 · 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

Citations9
Published2017
Admission routes1
Has abstractyes

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