Assessment of Onco+, a personalized navigation support, for oncology clinical trials in Quebec.
Notice bibliographique
Résumé
e23114 Background: Quebec-Clinical Research Organization in Cancer (Q-CROC), a not-for-profit organization, has the mission to improve accessibility to oncology clinical trials in Quebec. Onco+, Q-CROC’s navigation support in collaboration with Quebec Cancer Foundation (QCF), addresses the growing need for a personalized patient support in accessing clinical trials. Onco+ is a free service available on OncoQuébec, Q-CROC’s web-application for oncology clinical trial search. Here, we describe the use of Onco+ since its launch in 2022. Methods: The assessment period spanned from May 2022 to December 2024. When users submitted a request for a trial search, they first provided consent to share their personal information, then completed a form with 29 questions to help refine the search. User support at QCF was provided by an experienced nurse trained in oncology trials by Q-CROC with complementary services like accommodation and psychological support offered as needed. The requests made from healthcare professionals (HCP) were treated by Q-CROC. The search for trials was done using OncoQuébec. All requests were addressed within 2-3 business days. A survey was sent 4-6 weeks after receiving the service from QCF. Results: A total of 269 requests were treated during the assessment period (90% from patients/caregivers; 10% from HCP). Most requests (n = 171; 64%) were matched with study proposals. Reasons for no match were: no clinical trial identified (n = 28; 10%) and other factors (e.g. incomplete information, medical unfitness, pending tests, etc.; n = 70; 26%). A total of 586 studies were proposed, with some suggested multiple times. Most studies were industry sponsored (n = 470; 80%). The survey results revealed that 84% of users were satisfied with the service, 88% found it very useful and 90% would recommend it (n = 48). Additionally, 28% had contacted a research team and 5% were involved in a clinical trial (n = 40). Onco+ referencing included OncoQuébec/Q-CROC, QCF, the treating physician, and patient associations. The table below summarizes patient data from the matched requests. Conclusions: During the assessment period, Onco+ was accessed by an average of 9 users per month, mostly through organic search. Almost 2/3 of requests were matched. Most requests were for advanced cancers, with over half from outside Quebec's major centers.The success of this service highlights the need to help patients access clinical trials. We plan to make this service widely available to all Canadians. Age (years; n=130) 19-40 : 18 (14%)41-60 : 56 (43%)61+ : 56 (43%) Gender (n=170) Male: 74 (44%)Female: 96 (56%) Predominant cancer type ≥10% of requests (n=170) Breast: 37 (22%)Colorectal: 23 (14%)Lung: 18 (11%)Pancreatic: 17 (10%) Stage of cancer (n=151) Stage 1: 9 (6%)Stage 2: 17 (11%)Stage 3: 18 (12%)Stage 4: 107 (71%) Region (n=160) Greater Montreal: 48 (30%)Québec city: 26 (16%)Other regions: 86 (54%)
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 | 0,017 | 0,060 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,003 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,003 | 0,002 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,028 | 0,004 |
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 ».