| Literature DB >> 34996804 |
David Jenkinson1, Karoline Freeman1, Karen Clements2, Bridget Hilton2, Joanne Dulson-Cox2, Olive Kearins2, Nigel Stallard1, Matthew G Wallis3, Nisha Sharma4, Cliona Kirwan5, Sarah Pinder6,7, Elena Provenzano8, Abeer M Shaaban9, Hilary Stobart10, Samantha McDonnell1, Alastair M Thompson11, Sian Taylor-Phillips12.
Abstract
INTRODUCTION: The National Health Service (NHS) Breast Screening Programme aims to detect cancer earlier when treatment is more effective but can harm women by over diagnosing and overtreating cancers which would never have become symptomatic. As well as breast cancer, a spectrum of atypical epithelial proliferations (atypia) can also be detected as part of screening. This spectrum of changes, while not cancer, may mean that a woman is more likely to develop breast cancer in the future. Follow-up of atypia is not evidence based. We currently do not know which atypia should be detected to avoid future cancer. This study will explore how atypia develops into breast cancer in terms of number of women, time of cancer development, cancer type and severity, and whether this varies for different types of atypia. METHODS AND ANALYSIS: The Sloane cohort study began in April 2003 with ongoing data collection including atypia diagnosed through screening at screening units in the UK. The database for England has 3645 cases (24 September 2020) of epithelial atypia, with follow-up from 1 to 15 years. The outcomes include subsequent invasive breast cancer and the nature of subsequent cancer. Descriptive statistics will be produced. The observed rates of breast cancer at 1, 3 and 6 years for types of atypia will be reported with CIs, to enable comparison to women in the general population. Time to event methods will be used to describe the time to breast cancer diagnosis for the types of atypia, including flexible parametric modelling if appropriate. Patient representatives from Independent Cancer Patients' Voice are included at every stage of the research. ETHICS AND DISSEMINATION: The study has received research ethics approval from the University of Warwick Biomedical and Scientific Research Ethics Committee (BSREC 10/20-21, 8 October 2020), Public Health England office for data release approvals (ODR1718_313) and approval from the English Breast Research Advisory Committee (BSPRAC_031). The findings will be disseminated to breast screening clinicians (via journal publication and conference presentation), to the NHS Breast Screening Programme to update their guidelines on how women with atypia should be followed up, and to the general public. © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY. Published by BMJ.Entities:
Keywords: breast tumours; health policy; protocols & guidelines; public health
Mesh:
Year: 2022 PMID: 34996804 PMCID: PMC8744119 DOI: 10.1136/bmjopen-2021-058050
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 2.692
Estimates of the rate of breast cancer per 1000 women at 1, 3 and 6 years after screening
| Year | 1 | 3 | 6 |
| Interval cancers per 1000 women | 0.553 | 2.907 | 5.814 |
| Screen detected cancers per 1000 women | – | 8.007 | 16.014 |
| Total | 0.553 | 10.914 | 21.828 |
Observed breast cancer rate per 1000 women required for 95% CI to be above the general population rate
| Year 1 | Year 3 | Year 6 | |||||
| Cases | Rate | 95% CI | Rate | 95% CI | Rate | 95% CI | |
| Population rate | 0.55 | 10.91 | 21.83 | ||||
| Projected rate using existing evidence | 2.2–100 | 44 | 87 | ||||
| Lowest rate observable using our data, for which 95% CI wholly above population rate | |||||||
| 445 | 3.9 | (0.57 to 17.1) | 21.7 | (10.92 to 41.3) | 36.6 | (21.88 to 59.7) | |
| 1068 | 2.5 | (0.58 to 8.5) | 17.7 | (10.98 to 28.1) | 31.1 | (21.86 to 43.8) | |
| 1530 | 2.1 | (0.57 to 6.4) | 16.5 | (10.96 to 24.6) | 29.5 | (21.85 to 39.6) | |
| 3043 | 1.6 | (0.58 to 4.0) | 14.8 | (10.94 to 19.9) | 27.2 | (21.85 to 33.8) | |
Atypia rate of breast cancer (per 1000 women) detectable at 80% power compared with the general population rate
| Cases | Year 1 | Year 3 | Year 6 | |
| Population rate | 0.55 | 10.91 | 21.83 | |
| Projected rate using existing evidence | 2.2–100 | 44 | 87 | |
| Minimum atypia rate detectable at 80% power | ||||
| 445 | 80.6 | 29 | 45.4 | |
| 1068 | 44 | 21.6 | 36.1 | |
| 1530 | 35.2 | 19.6 | 33.5 | |
| 3043 | 23.9 | 16.8 | 29.9 | |