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Record W3212302789 · doi:10.34172/icnj.2021.39

Spontaneous Spinal Epidural Hematoma: Report of Two Cases and Literature Review

2021· article· en· W3212302789 on OpenAlexaff
Duc Duy Tri Tran, Quoc Bao Nguyen, Van Tri Truong, Thai Truong, Dinh Thanh Phan, Thanh Minh Nguyen

Bibliographic record

VenueInternational Clinical Neuroscience Journal · 2021
Typearticle
Languageen
FieldMedicine
TopicSpinal Hematomas and Complications
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsMedicineSurgeryEpidural hematomaLaminotomyHematomaSpinal cord compressionMagnetic resonance imagingSpinal cordLaminectomyRadiology

Abstract

fetched live from OpenAlex

Spontaneous spinal epidural hematoma (SSEH) is a rare disease but may lead to life-threatening consequences if not timely diagnosed and managed. Emergent hematoma evacuation is indicated before neurological deficits become irreversible. We report two cases. The first case was a 45-year-old man brought to hospital because of an acute onset of quadriparesis and urinary incontinence. His cervical magnetic resonance imaging (MRI) showed an epidural hematoma at the C5-C6 level with severe spinal cord compression. He underwent an emergency C5-C6 right hemi-laminotomy to remove the clot and decompress the cord. Postoperatively, his left-sided deficits immediately resolved. His urinary function returned to normal two weeks after the surgery. He could independently walk two months later. The second case was a 57-year-old man admitted to the hospital because of severe neck pain and paresthesia in both arms. He had been using an antiplatelet for two months. His MRI revealed an epidural hematoma from C2 to C4 with spinal cord compression on the right. This patient was successfully treated with conservative treatment. If SSEH is left undiagnosed and untreated, the neurological deficits may be permanent. Early emergent hematoma evacuation contributes to a favorable outcome. Conservative management is reasonable if neurological deficits are not severe.

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)0.006
Version: codex-gemma-dda1882f352aValidation 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 score0.054
Threshold uncertainty score0.692

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.006
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 head0.097
GPT teacher head0.481
Teacher spread0.385 · 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 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
Published2021
Admission routes1
Has abstractyes

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