Abstract P4-12-11: Eq-5d-5l utility scores for patients with breast cancer
Bibliographic record
Abstract
Abstract Background: The EuroQol- 5 Dimension (EQ-5D) is a generic patient-reported outcome measure widely used to capture meaningful change in health-related quality of life between treatments to inform drug and health technology reimbursement decision making. The EQ-5D-5L (5 level) consists of 5 dimensions (mobility, self-care, usual activities, pain/discomfort, and anxiety/depression) and a visual analogue scale (VAS). Each dimension has 5 levels, ranging from 1 “no problems” to 5 “extreme problems”, generating 3125 distinct health states (HS). The VAS score ranges from 0 (worst health imaginable) to 100 (best health imaginable). We used Canadian Index values to calculate community-weighted utility scores for 5 pre-defined breast cancer (BC) disease states.Methods: This cross-sectional study included adult women diagnosed with stage I to IV BC, who completed EQ-5D-5L, during outpatient clinic visits at two academic cancer centres in Toronto. Participants were classified into 5 disease states, considered relevant both to clinical practice and economic modeling, ranging from primary breast cancer to metastatic disease. EQ-5D-5L scores were described for each disease state, and mean utility scores and VAS scores were calculated.Results: 549 women were included; the mean age was 57 (SD 12) years; 72% had a Charlson Comorbidity Index of 0. A majority reported “Slight” to “Moderate” problems for the “Pain/Discomfort” (60%) and “Anxiety/Depression” (55%) dimensions of EQ-5D-5L; in all other dimensions, most patients reported “No problems”. As expected, patients with metastatic BC had the highest proportion of reported problems. The mean EQ-5D-5L index score was 0.83 (SD 0.13; range 0.36 to 0.95), with a distribution skewed towards full health and a ceiling effect of 20% (n=110; Table 1). Only 126 different self-reported health states were observed in our patient population. Mean VAS was 75 (SD 17.5; range 10 to 100). For early BC, mean index scores were: 0.87 (n=49; SD 0.07) for patients on chemotherapy (+/-targeted therapy); 0.85 (n=212; SD 0.12) for patients on endocrine treatment (+/-targeted therapy); 0.79 (n=16; SD 16) for patients on targeted therapy; and 0.84 (n=129; SD 0.14) for patients not receiving systemic therapy. For metastatic BC, mean index scores were: 0.79 (n=36, SD 14) for patients on chemotherapy (+/-targeted therapy); 0.80 (n=79, SD 0.14) for patients on endocrine treatment (+/-targeted therapy); 0.69 (n=8; SD 0.19) for patients on targeted therapy; and 0.77 (n=20; SD 0.14) for patients not receiving systemic therapy.Conclusions: BC had an impact mainly in the “Pain/Discomfort” and “Anxiety/Depression” dimensions of EQ-5D-5L. A high ceiling effect was observed in this patient population, despite using the 5L version of EQ-5D. EQ-5D-5L health utilities were significantly lower for metastatic BC, but no significant differences were found among various early-stage BC states. Table 1.- Mean EQ-5D-5L Index and VAS scoresEQ-5D-5LIndex ScoresVASDisease StateN (%)Mean (SD)Min-MaxMean (SD)Min-Max1st year after primary BC146 (27)0.85 (0.12)*0.23-0.9576.5(16.6)10-1001st year after recurrence or primary BC13 (2)0.78 (0.21)0.13-0.9568.9(23.3)20-1002nd-5th year after a primary BC or recurrence treated with curative intent185 (34)0.84 (0.11)*0.21-0.9578.3(14.7)36-1006th and following years after a primary BC or recurrence treated with curative intent62 (11)0.86 (0.14)*0.36-0.9581.0(15.6)20-100Metastatic BC143 (26)0.78 (0.14)0.29-0.9567.3(19.2)21-100Total549 (100)0.83 (0.13)0.13-0.9575.0(17.5)10-100*significant difference was found between these disease states and metastatic diseases (P < 0.05). Citation Format: Sofia Torres, Ahmed Bayoumi, Maureen Trudeau, Ana Beatriz Kinupe Abrahao, Nicholas Mitsakakis, Murray Krahn, Geoffrey Liu. Eq-5d-5l utility scores for patients with breast cancer [abstract]. In: Proceedings of the 2021 San Antonio Breast Cancer Symposium; 2021 Dec 7-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2022;82(4 Suppl):Abstract nr P4-12-11.
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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 | 0.006 |
| 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 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".