Questa pagina è stata tradotta automaticamente e l'accuratezza della traduzione non è garantita. Si prega di fare riferimento al Versione inglese per un testo di partenza.

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

2 novembre 2026 aggiornato da: 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.

Panoramica dello studio

Stato

Non ancora reclutamento

Condizioni

Tipo di studio

Osservativo

Iscrizione (Stimato)

48000

Contatti e Sedi

Questa sezione fornisce i recapiti di coloro che conducono lo studio e informazioni su dove viene condotto lo studio.

Contatto studio

Criteri di partecipazione

I ricercatori cercano persone che corrispondano a una certa descrizione, chiamata criteri di ammissibilità. Alcuni esempi di questi criteri sono le condizioni generali di salute di una persona o trattamenti precedenti.

Criteri di ammissibilità

Età idonea allo studio

18 anni e precedenti (Adulto, Adulto più anziano)

Accetta volontari sani

No

Sessi ammissibili allo studio

Femmina

Metodo di campionamento

Campione di probabilità

Popolazione di studio

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

Descrizione

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

Piano di studio

Questa sezione fornisce i dettagli del piano di studio, compreso il modo in cui lo studio è progettato e ciò che lo studio sta misurando.

Come è strutturato lo studio?

Dettagli di progettazione

  • Modelli osservazionali: COHORT
  • Prospettive temporali: RETROSPECTIVE

Cosa sta misurando lo studio?

Misure di risultato primarie

Misura del risultato
Misura Descrizione
Lasso di tempo
Sociodemographic Characteristics
Lasso di tempo: 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
Lasso di tempo: 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
Lasso di tempo: 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
Lasso di tempo: 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
Lasso di tempo: 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
Lasso di tempo: 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
Lasso di tempo: 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
Lasso di tempo: 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
Lasso di tempo: 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
Lasso di tempo: 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
Lasso di tempo: 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

Collaboratori e investigatori

Qui è dove troverai le persone e le organizzazioni coinvolte in questo studio.

Sponsor

Investigatori

  • Investigatore principale: Matthew Chiu, Clinical Assistant Professor, Department of Clinical Oncology, the University of Hong Kong

Studiare le date dei record

Queste date tengono traccia dell'avanzamento della registrazione dello studio e dell'invio dei risultati di sintesi a ClinicalTrials.gov. I record degli studi e i risultati riportati vengono esaminati dalla National Library of Medicine (NLM) per assicurarsi che soddisfino specifici standard di controllo della qualità prima di essere pubblicati sul sito Web pubblico.

Studia le date principali

Inizio studio (Stimato)

2 novembre 2026

Completamento primario (Stimato)

1 aprile 2027

Completamento dello studio (Stimato)

1 aprile 2027

Date di iscrizione allo studio

Primo inviato

15 ottobre 2026

Primo inviato che soddisfa i criteri di controllo qualità

2 novembre 2026

Primo Inserito (Effettivo)

4 novembre 2026

Aggiornamenti dei record di studio

Ultimo aggiornamento pubblicato (Effettivo)

4 novembre 2026

Ultimo aggiornamento inviato che soddisfa i criteri QC

2 novembre 2026

Ultimo verificato

1 ottobre 2026

Maggiori informazioni

Termini relativi a questo studio

Altri numeri di identificazione dello studio

  • D9673R00093

Piano per i dati dei singoli partecipanti (IPD)

Hai intenzione di condividere i dati dei singoli partecipanti (IPD)?

SÌ

Descrizione del piano 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.

Periodo di condivisione 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.

Criteri di accesso alla condivisione 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.

Queste informazioni sono state recuperate direttamente dal sito web clinicaltrials.gov senza alcuna modifica. In caso di richieste di modifica, rimozione o aggiornamento dei dettagli dello studio, contattare register@clinicaltrials.gov. Non appena verrà implementata una modifica su clinicaltrials.gov, questa verrà aggiornata automaticamente anche sul nostro sito web .

Sottoscrivi