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Enregistrement W3130800072 · doi:10.1158/1538-7445.sabcs20-pd12-09

Abstract PD12-09: Patient-reported outcomes of adolescents and young adults with breast cancer treated with curative intent

2021· article· en· W3130800072 sur OpenAlexaffabout
Revathy Krishnamurthy, Tulin Cil, Philippe L. Bédard, Robin Forbes, Madeline Li, Zhihui Liu, Jennifer Croke

Notice bibliographique

RevueCancer Research · 2021
Typearticle
Langueen
DomaineMedicine
ThématiqueCancer Risks and Factors
Établissements canadiensPrincess Margaret Cancer Centre
Organismes subventionnairesnon disponible
Mots-clésMedicineBreast cancerLogistic regressionMedical recordCancerAnxietyDepression (economics)Stage (stratigraphy)Young adultInternal medicinePediatricsPsychiatry

Résumé

récupéré en direct d'OpenAlex

Abstract Purpose: To evaluate patient-reported outcomes of adolescents and young adults (AYAs) with breast cancer treated with curative intent. Methods: AYA breast cancer patients (defined as diagnosed between 18 to 39 years of age) treated at a large tertiary cancer centre between January 2014 and December 2016 were identified. Patients routinely complete the validated symptom screening tool, the Edmonton Symptom Assessment System-revised (ESAS-r) prior to their clinical encounter. Scores from diagnosis up to 24 months post-diagnosis were obtained from our internal database, with elevated scores defined as > 4 for each individual symptom (rated 0-10). Patient, clinical and treatment characteristics were extracted from medical records. Descriptive statistics were used to describe patient, clinical and treatment characteristics, and ESAS-r scores. Time to recurrence was calculated from diagnosis to local or regional recurrence, distant metastasis or death (whichever occurred first). Kaplan-Meier survival analysis and log-rank tests were used to compare time to recurrence between women with vs. without elevated symptom scores. Chi-squared test was used to test the change in number of patients with elevated symptom scores over time. Univariable and multivariable logistic regression models were carried out to assess association between various factors and ESAS-r symptoms of depression, anxiety and well-being within 24 months of diagnosis. Results: Among 258 patients identified, 211 (82%) had accompanying ESAS-r and were eligible for analysis. Median follow-up was 3.9 years. Median age at diagnosis was 35 (20-39), most were clinical stage 2/3 at diagnosis (63%), 20% had triple negative disease, 76% received chemotherapy and 81% received radiotherapy. Overall, symptom burden was the highest (scores > 4) for decreased well-being (52%), tiredness (48%) and anxiety (44%). Although symptom burden significantly improved over time, 43%, 38% and 33% of patients, respectively, reported elevated symptoms 24 months post-diagnosis. Multivariable analysis found that elevated anxiety was significantly associated with younger age at diagnosis (p=0.036), receipt of chemotherapy (p=0.01) and presence of long-term toxicity (p=0.0032). Elevated depression, anxiety and well-being were significantly associated with referral to Psychosocial Oncology (p=0.024, p=0.036 and p=0.019, respectively), whereas well-being was also associated with referral to Survivorship Clinic (p=0.043). However, overall rates of referral (24-36%) were much lower than symptom prevalence. There was no association between elevated symptoms and time to recurrence. Conclusion: AYAs diagnosed with breast cancer report high symptom burden that continues to persist up to 24-months post-diagnosis. Patients with elevated psychosocial distress are more likely to be referred to Psychosocial Oncology and Survivorship clinics, indicating that the ESAS-r is a useful screening tool in a real-world setting. However, a gap between symptom burden and intervention exists, providing opportunities for future research. Citation Format: Revathy Krishnamurthy, Tulin Cil, Philippe Bedard, Robin Forbes, Madeline Li, Zhihui (Amy) Liu, Jennifer Croke. Patient-reported outcomes of adolescents and young adults with breast cancer treated with curative intent [abstract]. In: Proceedings of the 2020 San Antonio Breast Cancer Virtual Symposium; 2020 Dec 8-11; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2021;81(4 Suppl):Abstract nr PD12-09.

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,021
Score d'incertitude au seuil0,980

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,048
Tête enseignante GPT0,378
Écart entre enseignants0,329 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2021
Routes d'admission2
Résumé présentoui

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