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Record W2133116306 · doi:10.1634/theoncologist.9-5-561

Management of Bleeding in Patients with Advanced Cancer

2004· review· en· W2133116306 on OpenAlex

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

VenueThe Oncologist · 2004
Typereview
Languageen
FieldMedicine
TopicSpinal Hematomas and Complications
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMedicineCancerIntensive care medicineMEDLINEGeneral surgeryInternal medicine

Abstract

fetched live from OpenAlex

Abstract Learning Objectives After completing this course, the reader will be able to: List at least four local hemostatic agents and dressings for controlling localized bleeding in a patient with cancer. List at least four systemic therapies for controlling bleeding in a patient with advanced cancer. Describe a decision-making process related to managing bleeding in an end-of-life cancer patient. Access and take the CME test online and receive 1 hour of AMA PRA category 1 credit at CME.TheOncologist.com Bleeding occurs in up to 10% of patients with advanced cancer. It can present in many different ways. This article provides a qualitative review of treatment options available to manage visible bleeding. Local modalities, such as hemostatic agents and dressings, radiotherapy, endoscopic ligation and coagulation, and transcutaneous arterial embolization, are reviewed in the context of advanced cancer, as are systemic treatments such as vitamin K, vasopressin/desmopressin, octreotide/somatostatin, antifibrinolytic agents (tranexamic acid and aminocaproic acid), and blood products. Considerations at the end of life are described.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.982
Threshold uncertainty score0.264

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
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 head0.052
GPT teacher head0.401
Teacher spread0.348 · 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