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Record W2117451522 · doi:10.4103/2152-7806.97004

Metastatic coagulopathic subdural hematoma: A dismal prognosis

2012· article· en· W2117451522 on OpenAlex
K. Joshi George, Michael J. Ellis, Michael G. Fehlings, Anthony Lau, Tim-Rasmus Kiehl

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSurgical Neurology International · 2012
Typearticle
Languageen
FieldMedicine
TopicBrain Metastases and Treatment
Canadian institutionsToronto Western Hospital
Fundersnot available
KeywordsMedicineCoagulopathyHematomaChronic subdural hematomaDisseminated intravascular coagulationAutopsySurgeryAcute subdural hematomaMidline shiftRadiologyPathology

Abstract

fetched live from OpenAlex

BACKGROUND: Dural metastases have been found in about 8-9% of patients who died of cancer, in most autopsy series. Dural metastases presenting with chronic subdural hematoma are rare, with only about 55 cases reported in the literature. CASE DESCRIPTION: We discuss the case of a 72 year old gentleman with prostate cancer who presented with a chronic subdural hematoma which was drained surgically. He was found to have disseminated intravascular coagulation (DIC) and recurrence of the subdural hematoma for which further drainage was required. After the second drainage of the chronic subdural hematoma, dural metastases were diagnosed from the pathology specimens. CONCLUSION: On reviewing the literature, 25 cases of dural metastases with chronic subdural hematoma and coagulopathy were found. These cases were characterized by the fact that they had a very poor clinical outcome in spite of surgical drainage. This combination could be a distinct entity and its recognition is important to guide management of this rare condition.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.229
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0010.000

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 head0.029
GPT teacher head0.314
Teacher spread0.285 · 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