Evidence map›Paper›PMID 32390151›Full record

ArticleCancer2020

Mammography screening reduces rates of advanced and fatal breast cancers: Results in 549,091 women.

Stephen W Duffy, László Tabár, Amy Ming-Fang Yen, Peter B Dean, Robert A Smith, Håkan Jonsson, Sven Törnberg, Sam Li-Sheng Chen, Sherry Yueh-Hsia Chiu, Jean Ching-Yuan Fann and 24 more

Open access · hybridAbstract read
In one paragraph

Article in Cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 197 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
197citing papers in PubMed, 8 pooled it
15.8field-weighted citation impact, top 1% 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

197 citing papers in PubMed, 8 syntheses or guidelines pooled it, 401 citations in OpenAlex.

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  15. A Quantitative Framework to Assess the Potential of Earlier Cancer Detection to Improve Cancer Survival.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026
    Article
  16. Performance of Statistical and Machine Learning Risk Prediction Models for Advanced Breast Cancer.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026
    Article
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137 more citing papers are in PubMed but not listed here.

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

34 authors at 20 institutions in 5 countries.

Stephen W DuffyCentre for Cancer Prevention, Department of Epidemiology, Mathematics and Statistics, Wolfson Institute of Preventive Medicine, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, United Kingdom.
László TabárDepartment of Mammography, Falun Central Hospital, Falun, Sweden.
Amy Ming-Fang YenSchool of Oral Hygiene, College of Oral Medicine, Taipei Medical University, Taipei City, Taiwan.
Peter B DeanDiagnostic Radiology, University of Turku, Turku, Finland.
Robert A SmithCancer Control Sciences, American Cancer Society, Atlanta, Georgia.ORCID 0000-0003-3344-2238
Håkan JonssonRegional Cancer Center, Umeå University, Umeå, Sweden.
Sven TörnbergKarolinska Institute, Karolinska University Hospital, Stockholm, Sweden.
Sam Li-Sheng ChenSchool of Oral Hygiene, College of Oral Medicine, Taipei Medical University, Taipei City, Taiwan.ORCID 0000-0001-9750-3015
Sherry Yueh-Hsia ChiuDivision of Biostatistics, Institute of Preventive Medicine, Chang Gung University, Taoyuan City, Taiwan.
Jean Ching-Yuan FannDepartment of Nutrition and Health Sciences, Kainan University, Taoyuan City, Taiwan.
May Mei-Sheng KuGraduate Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei City, Taiwan.
Wendy Yi-Ying WuRegional Cancer Center, Umeå University, Umeå, Sweden.
Chen-Yang HsuGraduate Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei City, Taiwan.
Yu-Ching ChenTaipei City Hospital, Taipei City, Taiwan.
Gunilla SvaneKarolinska Institute, Karolinska University Hospital, Stockholm, Sweden.
Edward AzavedoKarolinska Institute, Karolinska University Hospital, Stockholm, Sweden.
Helene GrundströmDanderyd Hospital, Danderyd, Sweden.
Per SundénDanderyd Hospital, Danderyd, Sweden.
Karin LeiflandSankt Göran Hospital, Stockholm, Sweden.
Ewa FrodisVästerås Central Hospital, Västerås, Sweden.
Joakim RamosVästerås Central Hospital, Västerås, Sweden.
Birgitta EpsteinOrebro University Hospital, Orebro, Sweden.
Anders ÅkerlundCentral Hospital, Gavle, Sweden.
Ann SundbomKarlstad Central Hospital, Karlstad, Sweden.
Pál BordásSunderby Hospital, Luleå, Sweden.
Hans WallinSundsvall Hospital, Sundsvall, Sweden.
Leena StarckSundsvall Hospital, Sundsvall, Sweden.
Annika BjörkgrenNorrlands University Hospital, Umeå, Sweden.
Stina CarlsonNorrlands University Hospital, Umeå, Sweden.
Irma FredrikssonKarolinska Institute, Karolinska University Hospital, Stockholm, Sweden.
Johan AhlgrenRegional Cancer Center, Uppsala University Hospital, Uppsala, Sweden.
Daniel ÖhmanRegional Cancer Center, Stockholm-Gotland, Stockholm, Sweden.
Lars HolmbergUppsala University, Uppsala, Sweden.
Tony Hsiu-Hsi ChenGraduate Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei City, Taiwan.ORCID 0000-0002-5799-6705
Karolinska University Hospital · SENational Taiwan University · TWDanderyds sjukhus · SESundsvall Municipality · SETaipei Medical University · TWUmeå University · SEUniversity Hospital of Umeå · SEVästerås Municipality · SEAmerican Cancer Society · USChang Gung University of Science and Technology · TWFalun Hospital · SEGävle Hospital · SEKainan University · TWKarlstad Central Hospital · SEÖrebro University Hospital · SEQueen Mary University of London · GBRegion Västra Götaland · SESaint Göran Hospital · SESunderby sjukhus · SETaipei Municipal YangMing Hospital · TW

Funding

American Cancer Society Project NHPDCSGBR-GBRLONGBröstcancerförbundet, Sweden
6 · The paper itself

Abstract

backgroundIt is of paramount importance to evaluate the impact of participation in organized mammography service screening independently from changes in breast cancer treatment. This can be done by measuring the incidence of fatal breast cancer, which is based on the date of diagnosis and not on the date of death.

methodsAmong 549,091 women, covering approximately 30% of the Swedish screening-eligible population, the authors calculated the incidence rates of 2473 breast cancers that were fatal within 10 years after diagnosis and the incidence rates of 9737 advanced breast cancers. Data regarding each breast cancer diagnosis and the cause and date of death of each breast cancer case were gathered from national Swedish registries. Tumor characteristics were collected from regional cancer centers. Aggregated data concerning invitation and participation were provided by Sectra Medical Systems AB. Incidence rates were analyzed using Poisson regression.

resultsWomen who participated in mammography screening had a statistically significant 41% reduction in their risk of dying of breast cancer within 10 years (relative risk, 0.59; 95% CI, 0.51-0.68 [P < .001]) and a 25% reduction in the rate of advanced breast cancers (relative risk, 0.75; 95% CI, 0.66-0.84 [P < .001]).

conclusionsSubstantial reductions in the incidence rate of breast cancers that were fatal within 10 years after diagnosis and in the advanced breast cancer rate were found in this contemporaneous comparison of women participating versus those not participating in screening. These benefits appeared to be independent of recent changes in treatment regimens.

Indexed as

MammographyAdultAgedBreast NeoplasmsCause of DeathConfidence IntervalsEarly Detection of CancerFemaleHumansIncidenceMass ScreeningMiddle AgedMortalityPatient ParticipationSwedenTime Factorsbreast cancerfatalitymammographymortalityscreening

Identifiers

PMID32390151
PMCPMC7318598
OpenAlexW3020983734

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.