{
  "abstract": "Introduction Breast cancer poses substantial public health and economic burdens worldwide, particularly in Hong Kong, where incidence has risen fivefold in the last 30 years. While mammography (MMG) screening facilitates prognosis, early cancer detection has the potential to better use limited healthcare resources within a hospital system.Methods A retrospective cohort study was conducted using data from the Hong Kong Breast Cancer Registry, which included 15 144 cases (13 502 self-detected and 1642 MMG-detected breast cancers) diagnosed between 2006 and 2018. A subgroup of 6359 cases (diagnosed 2006–2011) underwent Kaplan-Meier survival analysis to compare 10-year overall survival between detection methods. Population-based Markov models were developed to simulate 100 000 average-risk women aged 40 and to assess clinical outcomes, treatment costs and cost-minimisation analysis of MMG screening from the healthcare provider’s perspective.Results MMG-detected breast cancers presented significantly earlier at diagnosis, with higher proportions of stage 0 (33.2% vs 5.4%, p<0.001) and stage I (48.3% vs 31.5%, p<0.001) cancers, smaller tumour sizes (mean: 1.3 cm vs 2.3 cm, p<0.001) and less aggressive biological subtypes compared with self-detected cases. 10-year overall survival was notably higher in MMG-detected patients (95.7% vs 88.4%, log-rank p<0.001). Treatment costs per patient were 28.4% lower for MMG-detected vs self-detected cancers, driven primarily by stage downshifting. The Markov model demonstrated that MMG screening starting at age 40 in 100 000 women could prevent 27 932 life-years lost and save $98.8 million in treatment costs compared with self-detection. Benefits decreased if screening commenced at a later age.Conclusions MMG screening in Hong Kong can significantly reduce mortality and healthcare expenditures due to earlier cancer detection. Policymakers and healthcare providers should consider expanding MMG screening programmes, particularly targeting women aged 40 and above, to optimise clinical outcomes and resource utilisation.",
  "authors": [
    {
      "affiliations": [
        "JC School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, Hong Kong"
      ],
      "name": "Ziyu Hao"
    },
    {
      "affiliations": [
        "JC School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, Hong Kong"
      ],
      "name": "Amy Lam"
    },
    {
      "affiliations": [
        "JC School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, Hong Kong"
      ],
      "name": "Yaxin Hu"
    },
    {
      "affiliations": [
        "JC School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, Hong Kong"
      ],
      "name": "Cassie Lee"
    },
    {
      "affiliations": [
        "Department of Clinical Oncology, The Chinese University of Hong Kong, Hong Kong, Hong Kong"
      ],
      "name": "Winnie Yeo"
    },
    {
      "affiliations": [
        "Department of Clinical Oncology, Princess Margaret Hospital, Hong Kong, Hong Kong"
      ],
      "name": "Carol Kwok"
    },
    {
      "affiliations": [
        "Department of Clinical Oncology, Pamela Youde Nethersole Eastern Hospital, Hong Kong, Hong Kong"
      ],
      "name": "Inda Soong"
    },
    {
      "affiliations": [
        "Tuen Mun Hospital Department of Clinical Oncology, Hong Kong, Hong Kong"
      ],
      "name": "Ting Ying Ng"
    },
    {
      "affiliations": [
        "Department of Medicine, Queen Mary Hospital, Hong Kong, Hong Kong"
      ],
      "name": "Joanne Chiu"
    },
    {
      "affiliations": [
        "Department of Surgery, Kwong Wah Hospital, Hong Kong, Hong Kong"
      ],
      "name": "Miranda Chan"
    },
    {
      "affiliations": [
        "Department of Surgery, United Christian Hospital, Hong Kong, Hong Kong"
      ],
      "name": "Sharon Chan"
    },
    {
      "affiliations": [
        "Hong Kong Breast Cancer Foundation, Hong Kong, Hong Kong"
      ],
      "name": "Ting Ting Wong"
    },
    {
      "affiliations": [
        "Hong Kong Breast Cancer Foundation, Hong Kong, Hong Kong"
      ],
      "name": "Lawrence Li"
    },
    {
      "affiliations": [
        "Hong Kong Breast Cancer Foundation, Hong Kong, Hong Kong"
      ],
      "name": "Wai Ka Hung"
    },
    {
      "affiliations": [
        "JC School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, Hong Kong"
      ],
      "name": "Benjamin Yip"
    },
    {
      "affiliations": [
        "Stanley Ho Big Data Decision Analytics Research Centre, The Chinese University of Hong Kong, Hong Kong, Hong Kong"
      ],
      "name": "Karen Yiu"
    },
    {
      "affiliations": [
        "Hong Kong Breast Cancer Foundation, Hong Kong, Hong Kong"
      ],
      "name": "Chun Chung Yau"
    },
    {
      "affiliations": [
        "Hong Kong Breast Cancer Foundation, Hong Kong, Hong Kong"
      ],
      "name": "Polly Cheung"
    },
    {
      "affiliations": [
        "JC School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, Hong Kong",
        "Stanley Ho Big Data Decision Analytics Research Centre, The Chinese University of Hong Kong, Hong Kong, Hong Kong"
      ],
      "name": "Kelvin K F Tsoi"
    }
  ],
  "title": "Real-world evidence of mammography screening from the Hong Kong Breast Cancer Registry: a cost minimisation analysis of 15 144 patients with breast cancer",
  "uid": "78ef5c33-f24c-563a-814d-e36a47c904d8"
}