Evidence map›Paper›PMID 25333936›Full record

ArticlePloS one2014

Impact of risk factors on different interval cancer subtypes in a population-based breast cancer screening programme.

Jordi Blanch, Maria Sala, Josefa Ibáñez, Laia Domingo, Belén Fernandez, Arantza Otegi, Teresa Barata, Raquel Zubizarreta, Joana Ferrer, Xavier Castells and 3 more

Registry-linked trialAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02619123 (Tailored Screening for Breast Cancer in Premenopausal Women. A Translational, Randomized Population-based Trial), which is not on this map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–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.

NCT02619123 naunknown statusnot on this map

Tailored Screening for Breast Cancer in Premenopausal Women. A Translational, Randomized Population-based Trial

TypeinterventionalSponsorCancer Prevention and Research Institute, ItalyRan2013 to 2022Enrolled33,200ConditionsBreast CancerArmsTailored screening according to breast density, Annual invitation to mammography
3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. PAM50 and Risk of Recurrence Scores for Interval Breast Cancers.Cancer prevention research (Philadelphia, Pa.) · 2018
    Article
  11. Breast cancer risk is increased in the years following false-positive breast cancer screening.European journal of cancer prevention : the official journal of the European Cancer Prevention Organisation (ECP) · 2017
    Article
  12. Article
  13. Article
  14. Article
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

13 authors.

Jordi BlanchDepartment of Epidemiology and Evaluation, IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain; European Higher Education Area (EHEA) Doctoral Programme in Public Health in Department of Pediatrics, Obstetrics and Gynecology, Preventive Medicine and Public Health, Universitat Autònoma de Barcelona (UAB), Bellaterra, Barcelona, Spain.
Maria SalaDepartment of Epidemiology and Evaluation, IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain; European Higher Education Area (EHEA) Doctoral Programme in Public Health in Department of Pediatrics, Obstetrics and Gynecology, Preventive Medicine and Public Health, Universitat Autònoma de Barcelona (UAB), Bellaterra, Barcelona, Spain; Research network on health services in chronic diseases (REDISSEC), Barcelona, Spain.
Josefa IbáñezGeneral Directorate Public Health, Valencia, Spain; Centre for Public Health Research (CSISP), FISABIO, Valencia, Spain.
Laia DomingoDepartment of Epidemiology and Evaluation, IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain; Research network on health services in chronic diseases (REDISSEC), Barcelona, Spain.
Belén FernandezGalician Breast Cancer Screening Programme, Directorate for innovation and management of public health, Santiago de Compostela, Spain.
Arantza OtegiOsakidetza Breast Cancer Screening Programme, Basque Country Health Service, Bilbao, Spain.
Teresa BarataGeneral Directorate of Health Care Programmes, Canary Islands Health Service, Las Palmas de Gran Canaria, Spain.
Raquel ZubizarretaGalician Breast Cancer Screening Programme, Directorate for innovation and management of public health, Santiago de Compostela, Spain.
Joana FerrerDepartment of Radiology, Hospital de Santa Caterina, Salt, Girona, Spain.
Xavier CastellsDepartment of Epidemiology and Evaluation, IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain; European Higher Education Area (EHEA) Doctoral Programme in Public Health in Department of Pediatrics, Obstetrics and Gynecology, Preventive Medicine and Public Health, Universitat Autònoma de Barcelona (UAB), Bellaterra, Barcelona, Spain; Research network on health services in chronic diseases (REDISSEC), Barcelona, Spain.
Montserrat RuéResearch network on health services in chronic diseases (REDISSEC), Barcelona, Spain; Department of Basic Medical Sciences, Biomedical Research Institut of Lleida (IRBLLEIDA)-University of Lleida, Lleida, Spain.
Dolores SalasGeneral Directorate Public Health, Valencia, Spain; Centre for Public Health Research (CSISP), FISABIO, Valencia, Spain.
INCA Study Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInterval cancers are primary breast cancers diagnosed in women after a negative screening test and before the next screening invitation. Our aim was to evaluate risk factors for interval cancer and their subtypes and to compare the risk factors identified with those associated with incident screen-detected cancers.

methodsWe analyzed data from 645,764 women participating in the Spanish breast cancer screening program from 2000-2006 and followed-up until 2009. A total of 5,309 screen-detected and 1,653 interval cancers were diagnosed. Among the latter, 1,012 could be classified on the basis of findings in screening and diagnostic mammograms, consisting of 489 true interval cancers (48.2%), 235 false-negatives (23.2%), 172 minimal-signs (17.2%) and 114 occult tumors (11.3%). Information on the screening protocol and women's characteristics were obtained from the screening program registry. Cause-specific Cox regression models were used to estimate the hazard ratios (HR) of risks factors for interval cancer and incident screen-detected cancer. A multinomial regression model, using screen-detected tumors as a reference group, was used to assess the effect of breast density and other factors on the occurrence of interval cancer subtypes.

resultsA previous false-positive was the main risk factor for interval cancer (HR = 2.71, 95%CI: 2.28-3.23); this risk was higher for false-negatives (HR = 8.79, 95%CI: 6.24-12.40) than for true interval cancer (HR = 2.26, 95%CI: 1.59-3.21). A family history of breast cancer was associated with true intervals (HR = 2.11, 95%CI: 1.60-2.78), previous benign biopsy with a false-negatives (HR = 1.83, 95%CI: 1.23-2.71). High breast density was mainly associated with occult tumors (RRR = 4.92, 95%CI: 2.58-9.38), followed by true intervals (RRR = 1.67, 95%CI: 1.18-2.36) and false-negatives (RRR = 1.58, 95%CI: 1.00-2.49).

conclusionThe role of women's characteristics differs among interval cancer subtypes. This information could be useful to improve effectiveness of breast cancer screening programmes and to better classify subgroups of women with different risks of developing cancer.

Indexed as

AdultAgedBreast NeoplasmsEarly Detection of CancerFalse Negative ReactionsFemaleFollow-Up StudiesHumansMammographyMass ScreeningMiddle AgedProportional Hazards ModelsRisk Factors

Identifiers

PMID25333936
PMCPMC4204862

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Registered trials

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.