Abstract P4-12-11: Eq-5d-5l utility scores for patients with breast cancer
Notice bibliographique
Résumé
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.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,006 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».