Abstract PD6-05: PD6-05 Retrospective analysis of VES-13 questionnaires in the Senior Women’s Breast Cancer Clinic at Sunnybrook Health Sciences, Toronto, Ontario, Canada
Bibliographic record
Abstract
Abstract Purpose: Vulnerable Elder Survey (VES-13) is a screening tool used in assessing older vulnerable patients at risk of functional decline. We sought to evaluate how VES-13 tool would impact oncologist referral pattern to geriatricians as our primary outcome. We also sought to better understand how VES-13 scores impacted referral to additional services (allied healthcare), and modification to oncological treatment. Methods: A retrospective review of VES-13 questionnaires completed by older women (age 70 or older) with breast cancer referred to the Senior Women’s Breast Cancer Clinic (SWBCC) was undertaken. Patients with a VES-13 score of three or greater, who were at significantly higher risk of functional decline, had further retrospective chart review for risk factors that would contribute to functional decline such as Eastern Cooperative Oncology Group (ECOG) score, social supports, and current living situation. The primary and secondary endpoints described above were analyzed through bivariate comparisons and multivariable logistical regression to determine if there was any statistical significance (p < 0.05). Results: 701 patients completed VES-13 form, of which 235 (33.5%) had a VES-13 score of three or greater. Less than 5% of oncologists documented VES-13 scores in their notes, with less than 5% of patients being referred for geriatric services. Neither VES-13 (p= 0.900) nor ECOG (p= 0.424) were associated with referral for geriatrics assessment. Referral to allied healthcare services was significantly associated with (ECOG) score (OR 2.24 [1.49-3.37], p < 0.0001), while not significantly associated with VES-13 score (OR 0.89 [0.78-1.02], p= 0.102). VES-13 (OR 1.23 [1.04-1.45], p=0.014) and ECOG (OR 2.37 [1.29-4.37), p=0.005) were both associated with modification in oncology treatment (chemotherapy or radiation). Conclusion: Approximately one third of our population was at risk of functional decline. VES-13 scores were infrequently mentioned in oncologists notes from their clinical assessments, with very few patients being referred for geriatric assessment. By not collecting and analyzing VES-13 scores, and relying on performance status alone, there is a missed opportunity in assessing for functional decline and reducing potential complications from treatment for our patients. Keywords: Allied healthcare professionals; Breast cancer; Frailty; Geriatric oncology; Geriatrics; Multidisciplinary; VES-13. Citation Format: Ewa F. Szumacher, Arman Zereshkian, Benazir Mir Khan Benazir khan, Xingshan Cao, Nayanee Henry=Noel, Ines Menjak, Rajin Mehta, Bonnie Bristow, Maureen Trudeau, Matthiew Neve, Mirelle Norris, Mark Pasetka, Katie Rice, Fiona McCullock, Frances Wright, Krista Dawdy. PD6-05 Retrospective analysis of VES-13 questionnaires in the Senior Women’s Breast Cancer Clinic at Sunnybrook Health Sciences, Toronto, Ontario, Canada [abstract]. In: Proceedings of the 2022 San Antonio Breast Cancer Symposium; 2022 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2023;83(5 Suppl):Abstract nr PD6-05.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".