Thrombosis and Anticoagulation in Palliative Care: An Evolving Clinical Challenge
Bibliographic record
Abstract
There is a clear recognition of the relationship between thrombosis and neoplastic diseases. In recent years, there have been a few reports dealing with some of the features of clinical progression and management of venous thromboembolism (VTE) in palliative care patients. In this report, we present four cases that describe some of the diverse aspects of this clinically challenging area to illustrate the symptom and quality of life issues for patients, and the management challenge for palliative care clinicians. Perhaps the most important issue in the palliative care setting is the need to balance the inconvenience of the various diagnostic and therapeutic options, particularly in settings where progression has resulted in a deteriorated physical and cognitive condition. We need to recognize that VTE does cause significant problems for some of our patients. We will always need to balance issues of life expectancy, comfort and quality of life, and risk and benefits of anticoagulation, and align these problems with the individual patient, and the family dynamics and desires we encounter.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".