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Record W4231983012 · doi:10.14740/jmc2264w

Intraoperative Disseminated Intravascular Coagulation During Thoracolumbar Decompression in a Patient With Metastatic Carcinoma of the Prostate: Etiology, Diagnosis, and Treatment

2015· article· en· W4231983012 on OpenAlexvenueno aff
Mahmood Rafiq, Joseph D. Tobias

Bibliographic record

VenueJournal of Medical Cases · 2015
Typearticle
Languageen
FieldMedicine
TopicVenous Thromboembolism Diagnosis and Management
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineDisseminated intravascular coagulationCoagulopathyPerioperativeEtiologyFibrinSurgeryParaplegiaMetastatic carcinomaCoagulationCarcinomaInternal medicineSpinal cord

Abstract

fetched live from OpenAlex

Various factors may be responsible for disturbances of coagulation function during the perioperative period. Disseminated intravascular coagulation or coagulopathy (DIC) results from the widespread activation of the clotting cascade on the endothelial surface throughout the microvasculature that results in the formation of thrombin and fibrin. Although an uncommon cause of intraoperative bleeding, previous reports have noted the occurrence of DIC in association with adenocarcinoma of the prostate. We present a 62-year-old man with known metastatic carcinoma of prostate, who presented with rapidly progressing paraplegia and incontinence. During an emergent posterior thoracolumbar decompression and instrumentation, he developed excessive blood loss and DIC. The potential etiologies for intraoperative DIC are reviewed, the diagnosis is discussed, and perioperative management strategies are presented. J Med Cases. 2015;6(9):426-429 doi: http://dx.doi.org/10.14740/jmc2264w

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 score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.003
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 head0.026
GPT teacher head0.307
Teacher spread0.281 · 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
Published2015
Admission routes1
Has abstractyes

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Same venueJournal of Medical Cases→Same topicVenous Thromboembolism Diagnosis and Management→French-language works237,207→