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Enregistrement W2026326021 · doi:10.1158/0008-5472.sabcs10-p4-11-06

Abstract P4-11-06: Population Based Outcomes after Whole Brain Radiotherapy in Patients with Metastatic Breast Cancer in the Pre and Post Trastuzumab Eras

2010· article· en· W2026326021 sur OpenAlexaff
Scott Tyldesley, Irene Karam, Alan Nichol, Ryan Woods, Caroline Speers, Hagen F. Kennecke

Notice bibliographique

RevueCancer Research · 2010
Typearticle
Langueen
DomaineMedicine
ThématiqueBrain Metastases and Treatment
Établissements canadiensBC Cancer Agency
Organismes subventionnairesnon disponible
Mots-clésMedicineTrastuzumabBreast cancerBrain metastasisOncologyInternal medicineProportional hazards modelRadiation therapyMetastatic breast cancerCancerPopulationLog-rank testMultivariate analysisMetastasis

Résumé

récupéré en direct d'OpenAlex

Abstract Background: In the Pre-trastuzumab (Pre-T) era, survival rates after brain radiotherapy (RT) for breast cancer patients were 4 to 8 months. Trastuzumab (T) was approved and funded in British Columbia in the metastatic setting in 1999. We examined the survival of Her2-positive and negative metastatic breast cancer at a provincial level in the Pre-T and T eras after brain RT. Material and Methods: All women with a diagnosis of breast cancer between 2000 and 2007 (T era) who were treated with brain RT in British Columbia were identified. A series of cases with brain metastasis from breast cancer treated with brain irradiation diagnosed between 1986 and 1992 with banked tissue on which Her-2 testing had been performed were also identified (Pre-T era). Date of death was determined from the tumour registry. Baseline prognostic factors were compared using Chi Square for categorical data, and t-test for continuous data. Survival was estimated using the Kaplan-Meier method, and comparisons between eras and between her-2 groups were done with a log-rank test. Variables significant for survival on log-rank test were entered into a Cox regression for multivariate analysis for each era separately. Results: A total of 455 women with brain metastases from breast cancer were identified from the T era, and 131 were identified from the Pre-T era. The median age at diagnosis was 53 years in both eras. The percentage of cases with ER-positive (43% and 41% p=0.2) and Grade 3 tumours (74% and 67%, p=0.2) were not statistically different. The percentage of cases with Her2-positive disease were statistically different the two eras (29% in Pre-T and 46% in the T eras, p=<0.001). Of the T era Her2-positive patients, 85% received T. The median time from diagnosis to brain RT was longer in the pre-T era (3.3 years versus 2.3 years, p< 0.001). The most common prescription used for whole brain RT was 20 Gy in 5 fractions in both eras, however it was more common in the pre-T era (87%) compared to the T era (68%) (p=<0.001). Although stereotactic radiotherapy, which first became available in our region in 1997, was occasionally used as a boost in BC, all but 15 (11%) of the pre-T era patients had died prior to its availability. Survival was longer after whole brain RT in the T era (1 year survival 27% versus 14%, log rank p=0.07). In the T era, one year survival was better for those with Her2 positive disease in the T era (39%) compared to those with Her2 negative disease (19%) in the T era (p-value < 0.0001), and to those with Her 2 positive disease in the pre-T era (3%, P<0.001). In the pre-T era, although 1 year survival was better (18%) for Her2 negative disease compared to Her2 positive disease (3%), the difference was not statistically significant (p=0.1). In a Cox model, RT dose and ER status were significant variables in both eras, but Her2 status and age were only significant variables in the T era (p all < 0.001). Discussion: For patients with Her2 negative disease, there was no difference in survival after RT for brain metastases between the Pre-T and T eras. However, for patients with Her2 positive disease, survival after RT for brain metastases has increased significantly in the trastuzumab era. Citation Information: Cancer Res 2010;70(24 Suppl):Abstract nr P4-11-06.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut 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 enseignants0,037
Score d'incertitude au seuil0,073

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,002
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)0,0020,000

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 Opus0,022
Tête enseignante GPT0,373
Écart entre enseignants0,351 · 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 source (Gemma direct ou Codex distillé), 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
Publié2010
Routes d'admission1
Résumé présentoui

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