Thromboprophylaxis for inpatients with advanced cancer in palliative care settings: A systematic review and narrative synthesis
Bibliographic record
Abstract
BACKGROUND: Patients with advanced cancer have an elevated risk of venous thromboembolism. Increasingly, patients are admitted to palliative care settings for brief admissions, with greater numbers of discharges (vs deaths) reported internationally. There is limited guidance around the use of thromboprophylaxis or incidence of venous thromboembolism for these patients. AIM: The aim of this study was to review the use of thromboprophylaxis as well as incidence of venous thromboembolism and bleeding in palliative care units or residential hospices for patients with advanced cancer. DESIGN: A systematic review using Cochrane methods. DATA SOURCES: Medline, Embase and the Cochrane Library were searched up to 28 September 2018 along with a grey literature search; the reference lists of selected papers were hand-searched. Inclusion criteria were original papers assessing thromboprophylaxis use in palliative care units or residential hospices for adult inpatients with cancer. Two reviewers independently selected and appraised papers using a tool designed for disparate data. Heterogeneity in study design made a meta-analysis not possible. RESULTS: A total of 11 full-text papers (9 quantitative and 2 qualitative) and 11 abstracts were included. Thromboprophylaxis use ranged between 4% and 53%; venous thromboembolism rates between 0.5% and 20%; and bleeding incidence was between 0.01% and 9.8%. Risk assessment tools were used infrequently and adherence to international thromboprophylaxis guidelines ranged between 5% and 71%. Physician opinions differed around the use of thromboprophylaxis; patients were largely accepting of thromboprophylaxis if it was offered. CONCLUSION: There is limited evidence around the optimal use of thromboprophylaxis for patients with advanced cancer admitted to palliative care settings. Although some patients may derive benefit, further research in this area is warranted.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.014 | 0.061 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.009 | 0.009 |
| Bibliometrics | 0.011 | 0.010 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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 source (direct Gemma or distilled Codex), 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".