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

2. November 2026 aktualisiert von: 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.

Studienübersicht

Status

Noch keine Rekrutierung

Bedingungen

Studientyp

Beobachtungs

Einschreibung (Geschätzt)

48000

Kontakte und Standorte

Dieser Abschnitt enthält die Kontaktdaten derjenigen, die die Studie durchführen, und Informationen darüber, wo diese Studie durchgeführt wird.

Studienkontakt

Teilnahmekriterien

Forscher suchen nach Personen, die einer bestimmten Beschreibung entsprechen, die als Auswahlkriterien bezeichnet werden. Einige Beispiele für diese Kriterien sind der allgemeine Gesundheitszustand einer Person oder frühere Behandlungen.

Zulassungskriterien

Studienberechtigtes Alter

18 Jahre und älter (Erwachsene, Älterer Erwachsener)

Akzeptiert gesunde Freiwillige

Nein

Studienberechtigte Geschlechter

Weiblich

Probenahmeverfahren

Wahrscheinlichkeitsstichprobe

Studienpopulation

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

Beschreibung

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

Studienplan

Dieser Abschnitt enthält Einzelheiten zum Studienplan, einschließlich des Studiendesigns und der Messung der Studieninhalte.

Wie ist die Studie aufgebaut?

Designdetails

  • Beobachtungsmodelle: COHORT
  • Zeitperspektiven: RETROSPECTIVE

Was misst die Studie?

Primäre Ergebnismessungen

Ergebnis Maßnahme
Maßnahmenbeschreibung
Zeitfenster
Sociodemographic Characteristics
Zeitfenster: 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
Zeitfenster: 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
Zeitfenster: 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
Zeitfenster: 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
Zeitfenster: 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
Zeitfenster: 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
Zeitfenster: 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
Zeitfenster: 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
Zeitfenster: 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
Zeitfenster: 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
Zeitfenster: 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

Mitarbeiter und Ermittler

Hier finden Sie Personen und Organisationen, die an dieser Studie beteiligt sind.

Sponsor

Ermittler

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

Studienaufzeichnungsdaten

Diese Daten verfolgen den Fortschritt der Übermittlung von Studienaufzeichnungen und zusammenfassenden Ergebnissen an ClinicalTrials.gov. Studienaufzeichnungen und gemeldete Ergebnisse werden von der National Library of Medicine (NLM) überprüft, um sicherzustellen, dass sie bestimmten Qualitätskontrollstandards entsprechen, bevor sie auf der öffentlichen Website veröffentlicht werden.

Haupttermine studieren

Studienbeginn (Geschätzt)

2. November 2026

Primärer Abschluss (Geschätzt)

1. April 2027

Studienabschluss (Geschätzt)

1. April 2027

Studienanmeldedaten

Zuerst eingereicht

15. Oktober 2026

Zuerst eingereicht, das die QC-Kriterien erfüllt hat

2. November 2026

Zuerst gepostet (Tatsächlich)

4. November 2026

Studienaufzeichnungsaktualisierungen

Letztes Update gepostet (Tatsächlich)

4. November 2026

Letztes eingereichtes Update, das die QC-Kriterien erfüllt

2. November 2026

Zuletzt verifiziert

1. Oktober 2026

Mehr Informationen

Begriffe im Zusammenhang mit dieser Studie

Andere Studien-ID-Nummern

  • D9673R00093

Plan für individuelle Teilnehmerdaten (IPD)

Planen Sie, individuelle Teilnehmerdaten (IPD) zu teilen?

JA

Beschreibung des IPD-Plans

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.

IPD-Sharing-Zeitrahmen

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.

IPD-Sharing-Zugriffskriterien

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.

Diese Informationen wurden ohne Änderungen direkt von der Website clinicaltrials.gov abgerufen. Wenn Sie Ihre Studiendaten ändern, entfernen oder aktualisieren möchten, wenden Sie sich bitte an register@clinicaltrials.gov. Sobald eine Änderung auf clinicaltrials.gov implementiert wird, wird diese automatisch auch auf unserer Website aktualisiert .