Patterns of first-line systemic therapy delivery and adoption of bevacizumab in advanced ovarian cancer in Ontario, Canada.
Notice bibliographique
Résumé
292 Background: Initial treatment of epithelial ovarian cancer (EOC) consists of combination of cytoreductive surgery (CSR) and/or chemotherapy. Targeted therapies such as bevacizumab have shown to improve outcomes in a subset population with high-risk features. Real-world patterns of systemic therapy delivery in EOC in the modern era are not well understood. Our objective is to evaluate the patterns of first-line systemic treatment of advanced EOC in Ontario, focusing on adoption of bevacizumab, which was approved for use in 2016. Methods: We conducted a retrospective, population cohort study using administrative databases held at the ICES in Ontario, Canada. Patients diagnosed with non-mucinous EOC between 2014 and 2018 were identified from the Ontario Cancer Registry; early-stage disease was excluded. Information on systemic therapy was obtained from Activity Level Reporting and New Drug Funding Program databases. Provider of care (gynecologic oncologist vs medical oncologist) information was obtained from billing codes. Academic cancer centers were identified using validated systemic facility codes from Cancer Care Ontario. Statistical analyses include descriptive statistics, t-tests, and multivariable logistic regression using SAS. Results: Out of 4,680 cases diagnosed with EOC during the study period, 3,632 (77.6%) were considered advanced stage. Median age of cohort was between 65-70, and the majority had Charlson score of 1-2 (97%) and are urban (91.8%). A total of 3,181 (87.6%) patients underwent CRS and 2,722(74.9%) patients underwent chemotherapy. Of those who received chemotherapy, 1,259 (46.2%) received neoadjuvant chemotherapy, 1,012 (37.2%) received upfront CRS, and 451(16.5%) received chemotherapy only. The majority of chemotherapy was delivered by gynecologic oncologists (60.6%) and in academic cancer centres (61.7%). There was no significant difference in use of neoadjuvant chemotherapy between medical oncologists and gynecologic oncologists (p = 0.67). Only 53 chemotherapy patients (1.9%) received bevacizumab containing-regimen in the first-line setting. Medical oncologists were 4 times more likely to administer bevacizumab-containing regimen compared to gynecologic oncologists (OR 4.03, 95% CI.29 – 7.36) after adjusting for age, stage, Charlson score and rurality score on logistic regression. Delivery of bevacizumab is relatively higher in non-academic cancer centres (OR 2.61, 95% CI 2.32- 2.94) while 83% of intraperitoneal chemotherapy is delivered in academic cancer centres. Conclusions: Patterns of care of EOC in Ontario remain heterogenous between care providers and institutions, while uptake of bevacizumab for first-line treatment of EOC remains low. Factors leading to low uptake and real-world outcomes should be explored.
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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 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,002 | 0,007 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
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 ».