Fundamental Research in Oncology and Thrombosis 2 (FRONTLINE 2): A Follow-Up Survey
Bibliographic record
Abstract
BACKGROUND: Fundamental Research in Oncology and Thrombosis (FRONTLINE) is a global survey of physicians' perceptions and practice in the management of venous thromboembolism (VTE) in patients with cancer. MATERIALS AND METHODS: The present survey, FRONTLINE 2, follows the original FRONTLINE survey (published in The Oncologist in 2003) and provides insights into how physicians perceive risk of VTE in cancer and approach its prophylaxis and treatment. RESULTS: Between November 2015 and February 2016, 5,233 respondents participated, representing cancer physicians and surgeons. Most believed that less than one in five patients with any cancer might be at risk of VTE, with a slightly higher risk in patients with brain, pancreatic, and lung tumors. The most frequently reported reasons for giving prophylaxis were prior history of VTE (74.6%), abnormal platelet count (62.0%), and obesity (59.5%). In surgical and medical cancer patients, low-molecular-weight heparin (LMWH) was the most popular prophylactic measure, used by 74.2% and 80.6%, respectively. Oral anticoagulants (OACs) were given in less than one fifth of cases. In surgical patients, prophylaxis was usually provided for 1 month postoperatively. Following a diagnosis of VTE, patients initially received treatment with LMWH and were maintained long term on OACs, primarily warfarin, dabigatran, and rivaroxaban. Most surgical and medical cancer patients underwent treatment of VTE for 3-6 months. CONCLUSION: Compared with the original FRONTLINE survey, FRONTLINE 2 reveals some differences in the management of VTE in patients with cancer. Newer anticoagulants such as fondaparinux, dabigatran, and rivaroxaban are being incorporated into the contemporary management of VTE in patients with cancer. IMPLICATIONS FOR PRACTICE: This globally conducted survey of more than 5,000 cancer clinicians revealed a number of insights into the perceived risk for venous thromboembolism as well as contemporary approaches to its prevention and treatment. Although guidelines have consistently recommended anticoagulant medications for prevention and treatment of cancer-associated thrombosis, clinicians report substantial variation in their practice.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".