Cette page a été traduite automatiquement et l'exactitude de la traduction n'est pas garantie. Veuillez vous référer au version anglaise pour un texte source.

Breast Cancer Real-World Insights and Decision Guidance Evaluation in Hong Kong (BRIDGE-HK)

2 novembre 2026 mis à jour par: AstraZeneca

Breast Cancer Real-World Insights and Decision Guidance Evaluation (BRIDGE-HK) An Observational, Retrospective, Real-world Study on Breast Cancer Patients in Hong Kong Using the Hospital Authority CDARS Database

Breast cancer is the most common cancer affecting women in Hong Kong, but comprehensive real-world evidence on treatment and outcomes remains limited. This retrospective observational study will use Hong Kong Hospital Authority electronic health records, covering approximately 80% of healthcare utilisation, to evaluate around 45,000 adult women treated between 2018 and 2025. The study will describe patient characteristics, treatment patterns, treatment sequences, treatment duration, discontinuation, response, overall survival, and progression-free survival across HER2-positive, hormone receptor-positive/HER2-negative, and triple-negative subtypes. It will also assess neoadjuvant therapy, pathological complete response, and disease-free survival in eligible early-stage patients.

Aperçu de l'étude

Statut

Pas encore de recrutement

Les conditions

Type d'étude

Observationnel

Inscription (Estimé)

48000

Contacts et emplacements

Cette section fournit les coordonnées de ceux qui mènent l'étude et des informations sur le lieu où cette étude est menée.

Coordonnées de l'étude

Critères de participation

Les chercheurs recherchent des personnes qui correspondent à une certaine description, appelée critères d'éligibilité. Certains exemples de ces critères sont l'état de santé général d'une personne ou des traitements antérieurs.

Critère d'éligibilité

Âges éligibles pour étudier

18 ans et plus (Adulte, Adulte plus âgé)

Accepte les volontaires sains

Non

Sexes éligibles pour l'étude

Femelle

Méthode d'échantillonnage

Échantillon de probabilité

Population étudiée

Female breast cancer patients are anticipated, determined by data availability in the Hong Kong HA database (2018-2025).

La description

Inclusion Criteria:

  1. Female sex
  2. Age ≥18 years at the time of breast cancer diagnosis (index date)
  3. Histologically confirmed diagnosis of breast cancer (invasive or in situ) recorded in the HA database in all available records
  4. Documentation of surgery, or at least one systemic therapy (chemotherapy, endocrine therapy, targeted therapy, or immunotherapy) administered after the breast cancer diagnosis, as evidenced by pharmacy dispensing records or treatment administration records in the HA database between January 1, 2018, and December 31, 2025
  5. Availability of at least 6 months of follow-up data in the HA database after the index date, unless death occurs within the 6-month period

Exclusion Criteria:

  1. Male sex
  2. History of any other primary malignancy diagnosed prior to the index date (other than basal cell carcinoma of the skin and squamous cell carcinoma of the skin) as identified through ICD-9-CM codes 140.x-172.x, 176.x-208.x (excluding 174.x) recorded in the HA database during the 120-month baseline lookback period
  3. Patients with documented participation in an interventional clinical trial during the study period, where such information is available in the HA database, to preserve the real-world representativeness of observed treatment patterns

Plan d'étude

Cette section fournit des détails sur le plan d'étude, y compris la façon dont l'étude est conçue et ce que l'étude mesure.

Comment l'étude est-elle conçue ?

Détails de conception

  • Modèles d'observation: COHORT
  • Perspectives temporelles: RETROSPECTIVE

Que mesure l'étude ?

Principaux critères de jugement

Mesure des résultats
Description de la mesure
Délai
Sociodemographic Characteristics
Délai: female breast cancer patients are anticipated, determined by data availability in database from 2018 to 2025

Age at diagnosis

female breast cancer patients are anticipated, determined by data availability in database from 2018 to 2025
Sociodemographic Characteristics
Délai: female breast cancer patients are anticipated, determined by data availability in database from 2018 to 2025

Ethnicity

female breast cancer patients are anticipated, determined by data availability in database from 2018 to 2025
Clinical Characteristics
Délai: female breast cancer patients are anticipated, determined by data availability in database from 2018 to 2025

Breast cancer subtype

female breast cancer patients are anticipated, determined by data availability in database from 2018 to 2025
Clinical Characteristics
Délai: female breast cancer patients are anticipated, determined by data availability in database from 2018 to 2025

Disease stage at diagnosis

female breast cancer patients are anticipated, determined by data availability in database from 2018 to 2025
Clinical Characteristics
Délai: female breast cancer patients are anticipated, determined by data availability in database from 2018 to 2025

Histological grade

female breast cancer patients are anticipated, determined by data availability in database from 2018 to 2025
Clinical Characteristics
Délai: female breast cancer patients are anticipated, determined by data availability in database from 2018 to 2025

Tumor size

female breast cancer patients are anticipated, determined by data availability in database from 2018 to 2025
Clinical Characteristics
Délai: female breast cancer patients are anticipated, determined by data availability in database from 2018 to 2025

Nodal status

female breast cancer patients are anticipated, determined by data availability in database from 2018 to 2025
Clinical Characteristics
Délai: female breast cancer patients are anticipated, determined by data availability in database from 2018 to 2025

ECOG performance status

female breast cancer patients are anticipated, determined by data availability in database from 2018 to 2025
Real-world treatment outcome
Délai: female breast cancer patients are anticipated, determined by data availability in database from 2018 to 2025

real-world overall survival

female breast cancer patients are anticipated, determined by data availability in database from 2018 to 2025
Real-world treatment outcome
Délai: female breast cancer patients are anticipated, determined by data availability in database from 2018 to 2025

Real-world progression-free survival

female breast cancer patients are anticipated, determined by data availability in database from 2018 to 2025
Real-world treatment outcome
Délai: female breast cancer patients are anticipated, determined by data availability in database from 2018 to 2025

Treatment response status

female breast cancer patients are anticipated, determined by data availability in database from 2018 to 2025

Collaborateurs et enquêteurs

C'est ici que vous trouverez les personnes et les organisations impliquées dans cette étude.

Parrainer

Les enquêteurs

  • Chercheur principal: Matthew Chiu, Clinical Assistant Professor, Department of Clinical Oncology, the University of Hong Kong

Dates d'enregistrement des études

Ces dates suivent la progression des dossiers d'étude et des soumissions de résultats sommaires à ClinicalTrials.gov. Les dossiers d'étude et les résultats rapportés sont examinés par la Bibliothèque nationale de médecine (NLM) pour s'assurer qu'ils répondent à des normes de contrôle de qualité spécifiques avant d'être publiés sur le site Web public.

Dates principales de l'étude

Début de l'étude (Estimé)

2 novembre 2026

Achèvement primaire (Estimé)

1 avril 2027

Achèvement de l'étude (Estimé)

1 avril 2027

Dates d'inscription aux études

Première soumission

15 octobre 2026

Première soumission répondant aux critères de contrôle qualité

2 novembre 2026

Première publication (Réel)

4 novembre 2026

Mises à jour des dossiers d'étude

Dernière mise à jour publiée (Réel)

4 novembre 2026

Dernière mise à jour soumise répondant aux critères de contrôle qualité

2 novembre 2026

Dernière vérification

1 octobre 2026

Plus d'information

Termes liés à cette étude

Autres numéros d'identification d'étude

  • D9673R00093

Plan pour les données individuelles des participants (IPD)

Prévoyez-vous de partager les données individuelles des participants (DPI) ?

OUI

Description du régime IPD

Qualified researchers can request access to anonymized individual patient-level data from AstraZeneca group of companies sponsored clinical trials via the request portal Vivli.org. All requests will be evaluated as per the AZ disclosure commitment: https://astrazenecagrouptrials.pharmacm.com/ST/Submission/Disclosure. Yes, indicates that AZ are accepting requests for IPD, but this does not mean all requests will be shared.

AstraZeneca will meet or exceed data availability as per the commitments made to the EFPIA PhRMA Data Sharing Principles.

When a request has been approved AstraZeneca will provide access to the anonymized individual patient-level data via secure research environment https://vivli.org/. Signed Data Usage Agreement (non-negotiable contract for data accessors) must be in place before accessing requested information.

Délai de partage IPD

AstraZeneca will meet or exceed data availability as per the commitments made to the EFPIA PhRMA Data Sharing Principles. For details of our timelines, please rerefer to our disclosure commitment at https://astrazenecagrouptrials.pharmacm.com/ST/Submission/Disclosure.

Critères d'accès au partage IPD

When a request has been approved AstraZeneca will provide access to the anonymized individual patient-level data via secure research environment Vivli.org. Signed Data Usage Agreement (non-negotiable contract for data accessors) must be in place before accessing requested information.

Ces informations ont été extraites directement du site Web clinicaltrials.gov sans aucune modification. Si vous avez des demandes de modification, de suppression ou de mise à jour des détails de votre étude, veuillez contacter register@clinicaltrials.gov. Dès qu'un changement est mis en œuvre sur clinicaltrials.gov, il sera également mis à jour automatiquement sur notre site Web .

S'abonner