Abstract 1293: Uncovered: The breast cancer journey of a Black woman from advocacy to awareness to action
Notice bibliographique
Résumé
Abstract Background: There have been 3 significant life events guiding my journey from being a young, Black mother with stage 4 breast cancer and thyroid cancer to an engaged patient partner. The first was having a benign breast tumor removed at age 14. The second was my 2017 mBC diagnosis, including my bilateral mastectomy and the lack of images and information available for Black women concerning reconstruction and scar management. The third is exclusion from and the lack of diversity in clinical trials. Objective: In order to address the disparities in cancer and my unmet needs, I use my story and experiences as a catalyst for change primarily in three forms, which have evolved over time: advocacy, awareness, and action. Methods: Advocacy: To unburden myself from the shame about my breast health and the scar from my surgery at age 14, I vocalized my concerns and needs as an adult navigating my breast reconstruction options after my 2017 cancer diagnosis. Ongoing frustration that my needs were not being addressed led me to create Uncovered: A Breast Recognition Project, in collaboration with Rethink Breast Cancer. Uncovered, a digital and print resource, shines a light on the disparities and challenges that Black, Indigenous and people of color face in breast cancer care. Awareness: The 2020 edition started with my story and those of 7 Black women. After Uncovered launched, other racialized women reached out with similar experiences. The resource was expanded in 2021 to include stories and images of an Inuk woman, Black women, and women of color. This confirmed a systemic need to raise awareness and address racialized communities and inequities in breast cancer care. Action: As a result of the slow progress towards systemic change, I, along with the women of Uncovered, co-created the Wish List in 2021. The Uncovered Wish List is 6 accessible and actionable items that should be a priority for ending disparities in breast cancer care. Due to the complexity of my diagnosis, which limits my clinical trial options, and the historical underrepresentation of racialized communities in clinical trials, I now partner with cancer institutions and organizations that focus on research to address ongoing unmet needs with the goal to improve equity, diversity and inclusion. Results: Uncovered is a first-of-its-kind resource in Canada. To date, it has had a global reach of over 70 million through conferences, panels, podcasts, resource links, presentations, and various media. The recognition of my story, Uncovered, and the Wish List allows me to form collaborative connections, and become an engaged patient partner committed to systemic change. Conclusion: Despite systemic barriers, it is possible for Black women with breast cancer to advocate, raise awareness and take action towards change in meaningful ways. Citation Format: Michelle Audoin. Uncovered: The breast cancer journey of a Black woman from advocacy to awareness to action [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 1293.
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 | 0,002 | 0,006 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,028 | 0,006 |
| Communication savante | 0,005 | 0,004 |
| Science ouverte | 0,001 | 0,008 |
| Intégrité de la recherche | 0,005 | 0,015 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,015 | 0,003 |
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 ».