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

2026년 11월 2일 업데이트: 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.

연구 개요

상태

아직 모집하지 않음

연구 유형

관찰

등록 (추정된)

48000

연락처 및 위치

이 섹션에서는 연구를 수행하는 사람들의 연락처 정보와 이 연구가 수행되는 장소에 대한 정보를 제공합니다.

연구 연락처

참여기준

연구원은 적격성 기준이라는 특정 설명에 맞는 사람을 찾습니다. 이러한 기준의 몇 가지 예는 개인의 일반적인 건강 상태 또는 이전 치료입니다.

자격 기준

공부할 수 있는 나이

18년 이상 (성인, 고령자)

건강한 자원 봉사자를 받아들입니다

아니

연구 대상 성별

여성

샘플링 방법

확률 샘플

연구 인구

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

설명

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

공부 계획

이 섹션에서는 연구 설계 방법과 연구가 측정하는 내용을 포함하여 연구 계획에 대한 세부 정보를 제공합니다.

연구는 어떻게 설계됩니까?

디자인 세부사항

  • 관찰 모델: COHORT
  • 시간 관점: RETROSPECTIVE

연구는 무엇을 측정합니까?

주요 결과 측정

결과 측정
측정값 설명
기간
Sociodemographic Characteristics
기간: 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
기간: 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
기간: 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
기간: 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
기간: 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
기간: 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
기간: 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
기간: 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
기간: 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
기간: 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
기간: 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

공동 작업자 및 조사자

여기에서 이 연구와 관련된 사람과 조직을 찾을 수 있습니다.

스폰서

수사관

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

연구 기록 날짜

이 날짜는 ClinicalTrials.gov에 대한 연구 기록 및 요약 결과 제출의 진행 상황을 추적합니다. 연구 기록 및 보고된 결과는 공개 웹사이트에 게시되기 전에 특정 품질 관리 기준을 충족하는지 확인하기 위해 국립 의학 도서관(NLM)에서 검토합니다.

연구 주요 날짜

연구 시작 (추정된)

2026년 11월 2일

기본 완료 (추정된)

2027년 4월 1일

연구 완료 (추정된)

2027년 4월 1일

연구 등록 날짜

최초 제출

2026년 10월 15일

QC 기준을 충족하는 최초 제출

2026년 11월 2일

처음 게시됨 (실제)

2026년 11월 4일

연구 기록 업데이트

마지막 업데이트 게시됨 (실제)

2026년 11월 4일

QC 기준을 충족하는 마지막 업데이트 제출

2026년 11월 2일

마지막으로 확인됨

2026년 10월 1일

추가 정보

이 연구와 관련된 용어

기타 연구 ID 번호

  • D9673R00093

개별 참가자 데이터(IPD) 계획

개별 참가자 데이터(IPD)를 공유할 계획입니까?

예

IPD 계획 설명

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 공유 기간

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 공유 액세스 기준

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.

이 정보는 변경 없이 clinicaltrials.gov 웹사이트에서 직접 가져온 것입니다. 귀하의 연구 세부 정보를 변경, 제거 또는 업데이트하도록 요청하는 경우 register@clinicaltrials.gov. 문의하십시오. 변경 사항이 clinicaltrials.gov에 구현되는 즉시 저희 웹사이트에도 자동으로 업데이트됩니다. .

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