Evidence map›Paper›PMID 24951459›Full record

ArticleBMJ (Clinical research ed.)2014

Modern mammography screening and breast cancer mortality: population study.

Harald Weedon-Fekjær, Pål R Romundstad, Lars J Vatten

Abstract read
In one paragraph

Article in BMJ (Clinical research ed.), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

59 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  4. Mammography Adherence in African-American Women: Results of a Randomized Controlled Trial.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2016
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Harald Weedon-FekjærDepartment of Public Health, Norwegian University of Science and Technology, 7491 Trondheim, Norway Oslo Center for Biostatistics and Epidemiology, Department of Biostatistics, University of Oslo, Oslo, Norway Oslo Center for Biostatistics and Epidemiology, Research Support Services, Oslo University Hospital, Oslo, Norway harald.weedon-fekjar@medisin.uio.no.
Pål R RomundstadDepartment of Public Health, Norwegian University of Science and Technology, 7491 Trondheim, Norway.
Lars J VattenDepartment of Public Health, Norwegian University of Science and Technology, 7491 Trondheim, Norway Harvard School of Public Health, Department of Epidemiology, Boston, MA, USA.

Funding

Comparative Modeling: Informing Breast Cancer Control Practice & PolicyU01CA152958 · NCI · GEORGETOWN UNIVERSITY · PI BERRY, DONALD A, DE KONING, HARRY J · 2010 to 2015
$7.6M
NCI NIH HHS U01 CA152958NCI NIH HHS U01CA159256
6 · The paper itself

Abstract

objectiveTo evaluate the effectiveness of contemporary mammography screening using individual information about screening history and breast cancer mortality from public screening programmes.

designProspective cohort study of Norwegian women who were followed between 1986 and 2009. Within that period (1995-2005), a national mammography screening programme was gradually implemented, with biennial invitations sent to women aged 50-69 years.

participantsAll Norwegian women aged 50-79 between 1986 and 2009.

main outcome measuresMultiple Poisson regression analysis was used to estimate breast cancer mortality rate ratios comparing women who were invited to screening (intention to screen) with women who were not invited, with a clear distinction between cases of breast cancer diagnosed before (without potential for screening effect) and after (with potential for screening effect) the first invitation for screening. We took competing causes of death into account by censoring women from further follow-up who died from other causes. Based on the observed mortality reduction combined with the all cause and breast cancer specific mortality in Norway in 2009, we used the CISNET (Cancer Intervention and Surveillance Modeling Network) Stanford simulation model to estimate how many women would need to be invited to biennial mammography screening in the age group 50-69 years to prevent one breast cancer death during their lifetime.

resultsDuring 15 193 034 person years of observation (1986-2009), deaths from breast cancer occurred in 1175 women with a diagnosis after being invited to screening and 8996 women who had not been invited before diagnosis. After adjustment for age, birth cohort, county of residence, and national trends in deaths from breast cancer, the mortality rate ratio associated with being invited to mammography screening was 0.72 (95% confidence interval 0.64 to 0.79). To prevent one death from breast cancer, 368 (95% confidence interval 266 to 508) women would need to be invited to screening.

conclusionInvitation to modern mammography screening may reduce deaths from breast cancer by about 28%.

Indexed as

Early Detection of CancerMammographyAgedBreast NeoplasmsFemaleHumansMiddle AgedProspective Studies

Identifiers

PMID24951459
PMCPMC4061379

What OpenQuestion holds

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Registered trials

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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.