Attendance of older patients with bone metastases at a multidisciplinary bone metastases clinic: an 8-year experience
Bibliographic record
Abstract
BACKGROUND: Bone metastases clinic (BMC) is a multidisciplinary clinic where patients with bony metastases are assessed in conjunction by orthopedic surgery, radiation oncology, interventional radiology, and palliative medicine teams. The objective of the study was to determine the number of older adult (OA) referrals made to BMC and to examine their case dispositions. METHODS: Patients who were referred to the BMC from 2007 to 2015 were included in the study. Demographic information including gender, age, Karnofsky Performance Status (KPS), primary cancer site and reason for referral, as well as case dispositions were recorded for each patient. The proportion of OA attendance was calculated for each year from the total number of patient visits. OA attendance was defined as individuals ≥65 years of age who attended the BMC, and non-OA patients were those <65 years of age. Descriptive statistics were employed. RESULTS: A total of 551 patients were included with a median age of 64 years. The median KPS was 70 for OA and 80 for non-OA patients. OA attendance ranged per year from 42.5% to 58.7%. 14.1% of non-OA and 10.9% of OA patients were offered surgery. 62 patients in both cohorts (22.6% of OA and 22.4% of non-OA patients) were offered palliative radiation. CONCLUSIONS: From 2007 to 2015, OA patients comprised a significant proportion of referrals to the BMC. Younger patients were offered surgery slightly more often when compared to OA patients. Age did not appear to be a precluding factor for BMC referral or a deterrent in treatments offered.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".