Evidence map›Paper›PMID 39800865›Full record

ArticleThe Medical journal of Australia2025

The impact of the BreastScreen NSW transition from film to digital mammography, 2002-2016: a linked population health data analysis.

Rachel Farber, Nehmat Houssami, Kevin McGeechan, Alexandra L Barratt, Katy Jl Bell

Abstract read
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Article in The Medical journal of Australia, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Rachel FarberSydney School of Public Health, the University of Sydney, Sydney, NSW.
Nehmat HoussamiSydney School of Public Health, the University of Sydney, Sydney, NSW.ORCID 0000-0002-3641-952X
Kevin McGeechanThe Family Planning Australia Research Centre, Sydney, NSW.
Alexandra L BarrattSydney School of Public Health, the University of Sydney, Sydney, NSW.
Katy Jl BellSydney School of Public Health, the University of Sydney, Sydney, NSW.ORCID 0000-0002-0137-3218

Funding

National Breast Cancer Foundation DS-19-02National Health and Medical Research Council 1168688National Health and Medical Research Council (Centre for Research Excellence) 1104136
6 · The paper itself

Abstract

objectivesTo assess the impact of the transition from film to digital mammography in the Australian national breast cancer screening program. STUDY

designRetrospective linked population health data analysis (New South Wales Central Cancer Registry, BreastScreen NSW); interrupted time series analysis.

settingNew South Wales, 2002-2016.

participantsWomen aged 40 years or older with breast cancer diagnosed during 2002-2017 who had been screened by BreastScreen NSW and for whom complete follow-up information until the end of the recommended re-screening interval was available.

interventionTransition from film to digital mammography; 2009 defined as transition year (digital mammography becomes dominant screening modality).

main outcome measuresPopulation rates of screen-detected cancer, interval cancer, recalls, and false positive findings.

resultsThe study cohort comprised 967 573 women; of the 2 741 555 screens, 1 535 184 used film mammography (2002-2010) and 1 206 371 used digital mammography (2006-2016). The screen-detected cancer rate was 4.86 (95% confidence interval [CI], 4.75-4.97) cases per 1000 screens with film mammography and 6.11 (95% CI, 5.97-6.24) cases per 1000 screens with digital mammography (unadjusted difference, 1.24 [95% CI, 1.06-1.41] cases per 1000 screens). The interval cancer rate was 2.56 (95% CI, 2.48-2.64) cases per 1000 screens with film mammography and 2.84 (95% CI, 2.75-2.94) cases per 1000 screens with digital mammography (unadjusted difference, 0.27 [95% CI, 0.15-0.40] cases per 1000 screens). With the transition to digital mammography, the screen-detected cancer rate increased by 0.07 per 1000 screens, the sum of the decline in the invasive cancer rate (-0.21 cases per 1000 screens) and the rise in the ductal carcinoma in situ detection rate (0.28 cases per 1000 screens); during 2009-2015, it increased by 0.18 cases per 1000 screens per year. With the transition to digital mammography, the interval cancer rate increased by 0.75 cases per 1000 screens (invasive cancer: by 0.69 cases per 1000 screens); during 2009-2015, it declined by 0.13 cases per 1000 screens per year. The recall rate increased by 8.02 per 1000 screens and the false positive rate by 7.16 per 1000 screens following the transition; both rates subsequently declined to pre-transition levels.

conclusionsThe increased screen-detected cancer rate following the transition to digital mammography was not accompanied by a reduction in interval cancer detection rates.

Indexed as

Breast NeoplasmsEarly Detection of CancerMammographyMass ScreeningAdultAgedFemaleHumansInterrupted Time Series AnalysisMiddle AgedNew South WalesRegistriesRetrospective StudiesEarly detection of cancerMammographyMass screening

Identifiers

PMID39800865
PMCPMC11787811

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.