Continuum of care: Establishment of a comprehensive cardio-oncology program.
Bibliographic record
Abstract
74 Background: Cardiac disease in individuals with cancer is common, impacts survival, the ability to tolerate cancer treatments and quality of life. Cardio-oncology is a novel interdisciplinary approach to the management of cancer patients with treatment-induced cardiotoxicity. The goal of our program is two-fold: a) establishment of a hospital based cardio-oncology clinic to rapidly assess and manage cancer patients with cardiotoxicity related to their cancer treatment and b) provide continuum of care for these patients with the establishment of a cardiovascular survivorship program. Methods: In 2008, in collaboration with oncologists, cardiologists, pharmacy and nursing we established a multidisciplinary cardio-oncology clinic at The Ottawa Hospital. Referrals are primarily form treating oncologists. The clinics take place 3-4 half days per month and are conducted by 3 dedicated cardiologists. Patient data including demographics, cancer type and treatment, cardiovascular risk factors, treatment and clinical outcomes of each patient are being collected. Results: We have seen over 800 patients with solid and hematological malignancies. Clinical outcomes of patients referred from 10/2008 to 01/2013 have previously been reported (Sulpher J. et al 2014). The majority of patients referred were able to successfully complete their cancer therapy (79.7%), reflective of the large breast cancer population seen in this clinic. A third of patients achieved stable left ventricular ejection fractions with cardiac intervention and 41% received cardiac medications. Overall survival and long term cardiac outcomes will be reported. Conclusions: While these initial results are encouraging the impact of cardiotoxicity experienced by cancer patients and long term cardiac outcomes are unknown. In an effort to improve the cardiovascular care of cancer survivors we are currently developing a Cardiovascular Survivorship Program; patients will be referred from our hospital based cardio-oncology clinic to a specialized community clinic, for long-term surveillance and optimization of cardiovascular health. This initiative represents a continuum of care from hospital to community and is the first such program in Canada.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.017 | 0.004 |
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".