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Record W2236765289 · doi:10.7759/cureus.428

Tranexamic Acid to Treat Life-threatening Hemorrhage in Prostate Cancer Associated Disseminated Intravascular Coagulation with Excessive Fibrinolysis

2015· article· en· W2236765289 on OpenAlexaff
Oksana Prokopchuk‐Gauk, Kelsey Brose

Bibliographic record

VenueCureus · 2015
Typearticle
Languageen
FieldMedicine
TopicVenous Thromboembolism Diagnosis and Management
Canadian institutionsRoyal University HospitalUniversity of Alberta
Fundersnot available
KeywordsMedicineTranexamic acidDisseminated intravascular coagulationCoagulopathyAntifibrinolyticFibrinolysisProstate cancerSurgeryCancerChemotherapyThrombosisCoagulationIntensive care medicineAnesthesiaInternal medicineBlood loss

Abstract

fetched live from OpenAlex

This case illustrates the acute onset of life-threatening bleeding in a 57-year-old male with treatment-resistant metastatic prostate cancer. Laboratory results confirmed the presence of disseminated intravascular coagulation (DIC). Despite aggressive transfusion support, his consumptive coagulopathy and persistent bleeding could not be controlled, and his need for blood products began to outpace the available supply. Our patient had declined further chemotherapy treatment for his underlying aggressive prostate cancer and would accept only palliative care. Both thrombosis and bleeding are known to coexist during DIC. In our patient, his hemorrhagic clinical condition and laboratory results supported the presence of DIC with an excessive fibrinolytic process in the setting of metastatic prostate cancer. Following careful consideration of potential risks and benefits, the decision was made to administer the antifibrinolytic agent tranexamic acid to control bleeding. Initiation of this treatment led to rapid bleeding cessation without thrombotic complication. Although controversial, this treatment was life-saving in our patient and allowed hospital discharge. He remained transfusion independent for his remaining four weeks of life following discharge, and ultimately died at home of multi-organ failure related to his cancer.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.299
Threshold uncertainty score0.762

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.023
GPT teacher head0.283
Teacher spread0.260 · 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 designObservational
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

Citations10
Published2015
Admission routes1
Has abstractyes

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