2016
DOI: 10.1002/ijc.30105
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Epidemiologic evidence of slow growing, nonprogressive or regressive breast cancer: A systematic review

Abstract: The general aim of this systematic review is to mitigate breast cancer (BC) overdiagnosis and overtreatment. The specific aim is to summarize available data on the occurrence and features of indolent invasive or in situ (DCIS) BC, and precisely survival of untreated cases, prevalence of occult cancers found in autopsies, frequency of regressive BC. PubMed, Embase and Cochrane Library were systematically searched up to 3/31/2014. Eligibility criteria were: cohort studies, case-control studies, uncontrolled case… Show more

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Cited by 17 publications
(14 citation statements)
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“…In MISCAN, breast cancer starts with the development of preclinical ductal carcinoma in situ (DCIS), which may progress through the invasive successive stages T1a, T1b, T1c and T2+ (semi‐Markov process). A very small fraction of DCIS is assumed to regress 13 …”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…In MISCAN, breast cancer starts with the development of preclinical ductal carcinoma in situ (DCIS), which may progress through the invasive successive stages T1a, T1b, T1c and T2+ (semi‐Markov process). A very small fraction of DCIS is assumed to regress 13 …”
Section: Methodsmentioning
confidence: 99%
“…A very small fraction of DCIS is assumed to regress. 13 Model outcomes are first estimated for a situation without screening, in which breast cancers can be detected when in the clinical detectable phase or progress to the next preclinical stage. Hereafter, mammography screening and improvements in survival after screen-detection are modelled.…”
Section: Model Parameters and Assumptionsmentioning
confidence: 99%
“…One model (model W) allows regression of pre-clinical DCIS as well as invasive disease ( Figure 1D). Although the regression of breast cancer, especially invasive disease, is controversial, there is some evidence supporting the possibility of regressing tumors, including epidemiological evidence 23 and a case report on the regression of breast cancer on imaging. 24 Most of the CISNET models have used data from the Surveillance, Epidemiology, and End Results (SEER) Program, 25 typically age-specific incidence over time, combined with data from other sources (Wisconsin cancer registry for model W, Dutch data for model E) to estimate DCIS parameters; although, one model used data from another source (Norwegian data for model D).…”
Section: Cisnet Models Cisnet Dcis Models -Model Overviewmentioning
confidence: 99%
“…The impact of false-positive histological diagnosis on unnecessary treatment, as well as that of overdiagnosis,66 is not negligible and of importance in clinical practice.…”
Section: Discussionmentioning
confidence: 99%