A multidisciplinary bone metastases clinic at Toronto Sunnybrook Regional Cancer Centre – A review of the experience from 1999 to 2005
Bibliographic record
Abstract
Kathy K Li, Emily Sinclair, Joan Pope, Macey Farhadian, Kristin Harris, Julie Napolskikh, Albert Yee, Lawrence Librach, Lesia Wynnychuk, Cyril Danjoux, Edward Chow. On behalf of the Bone Metastases Team.Bone Metastases Site Group, Toronto-Sunnybrook Regional Cancer Centre, University of Toronto, Toronto, ON, CanadaAbstract: Our objective in this study was to review the experience of a one-stop multidisciplinary bone metastases clinic (BMC) that offers a coordinated multidisciplinary approach to the care of cancer patients with bone metastases in a tertiary cancer centre. Patients with symptomatic bone metastases were referred to BMC and assessed by a team of specialists in various disciplines – interventional radiology, orthopedic surgery, palliative medicine, and radiation oncology. At initial consultation, patient demographics, reasons for referral, and case disposition were recorded. From January 1999 to February 2005, a total of 272 patients with bone metastases were referred to the BMC. The median age was 65 years (range 28–95) and median KPS score at consultation was 60 (range 30–90). The majority of patients came from home (74%), while others came from a nursing home or the hospital (9%). Almost a third (28%) of patients had 2 or more reasons of referral, yielding a total of 354 reasons. The most common reason for referral was bone pain (42%), bone metastases (21%), high risk for pathological fracture (12%), and pathological fracture (10%). Of the 272 patients who received consultation, 40% received palliative radiotherapy, 19% received interventional surgery, 7% were referred to other support services such as palliative care, physiotherapy, and 7% had further investigation or imaging. A multidisciplinary clinic is useful for co-coordinating the management of bone metastatic disease in symptomatic patients.Keywords: bone metastases, multidisciplinary approach, experience
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.
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 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".