Management of Bleeding in Patients with Advanced Cancer
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.
Bibliographic record
Abstract
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it