Evidence map›Paper›PMID 34374095›Full record

ArticleThe Medical journal of Australia2021

Screening outcomes by risk factor and age: evidence from BreastScreen WA for discussions of risk-stratified population screening.

Naomi Noguchi, Michael L Marinovich, Elizabeth J Wylie, Helen G Lund, Nehmat Houssami

Open access · greenAbstract read
In one paragraph

Article in The Medical journal of Australia, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
1.3field-weighted citation impact, top 16% of its field
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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 2 syntheses or guidelines pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Psychosocial Impact of Breast Density Notification Through Breast Cancer Screening: A Qualitative Interview Study.Health expectations : an international journal of public participation in health care and health policy · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Australian Women's Responses to Breast Density Information: A Content Analysis.International journal of environmental research and public health · 2023
    Article
  10. Article
  11. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 2 countries.

Naomi NoguchiThe University of Sydney, Sydney, NSW.ORCID https://orcid.org/0000-0001-5662-1496
Michael L MarinovichCurtin University, Perth, WA.
Elizabeth J WylieBreastScreen WA, Perth, WA.
Helen G LundBreastScreen WA, Perth, WA.
Nehmat HoussamiSydney School of Public Health, University of Sydney, Sydney, NSW.ORCID https://orcid.org/0000-0002-3641-952X
The University of Sydney · AURoyal Perth Hospital · AUScreen · US

Funding

National Breast Cancer Foundation IIRS-20-011National Health and Medical Research Council 1194410
6 · The paper itself

Abstract

objectivesTo estimate rates of screen-detected and interval breast cancers, stratified by risk factor, to inform discussions of risk-stratified population screening.

designRetrospective population-based cohort study; analysis of routinely collected BreastScreen WA program clinical and administrative data. SETTING,

participantsAll BreastScreen WA mammography screening episodes for women aged 40 years or more during 1 July 2007 - 30 June 2017.

main outcome measuresCancer detection rate (CDR) and interval cancer rate (ICR), by risk factor.

resultsA total of 323 082 women were screened in 1 026 137 screening episodes (mean age, 58.5 years; SD, 8.6 years). The overall CDR was 68 (95% CI, 67-70) cancers per 10 000 screens, and the overall ICR was 9.7 (95% CI, 9.2-10.1) cancers per 10 000 women-years. Interactions between the effects on CDR of age group and five risk factors were statistically significant: personal history of breast cancer (P = 0.039), family history of breast cancer (P = 0.005), risk-relevant benign conditions (P = 0.012), hormone-replacement therapy (P = 0.002), and self-reported symptoms (P < 0.001). The influence of these risk factors (except personal history) increased with age. For ICR, only the interaction between age and hormone-replacement therapy was significant (P < 0.001), although weak interactions between age and family history of breast cancer or having dense breasts were noted (each P = 0.07). The influence of family history on ICR was significant only for women aged 40-49 years.

conclusionsScreening CDR and (for some risk factors) ICR were higher for women in some age groups with personal histories of breast cancer or risk-relevant benign breast conditions or first degree family history of breast cancer, women with dense breasts or self-reported breast-related symptoms, and women using hormone-replacement therapy. Our findings could inform the evaluation of risk-based screening.

Indexed as

Early Detection of CancerMammographyAdultAgedAge FactorsBreast NeoplasmsCohort StudiesFemaleHumansMiddle AgedRetrospective StudiesRisk AssessmentRisk FactorsSelf ReportBreast neoplasmsEpidemiologyMammographyMass screeningPopulation healthRisk factors

Identifiers

PMID34374095
PMCPMC9290915
OpenAlexW3187372022

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.