Evidence map›Paper›PMID 31233143›Full record

ArticleJournal of the National Cancer Institute2020

Performance Measures of Magnetic Resonance Imaging Plus Mammography in the High Risk Ontario Breast Screening Program.

Anna M Chiarelli, Kristina M Blackmore, Derek Muradali, Susan J Done, Vicky Majpruz, Ashini Weerasinghe, Lucia Mirea, Andrea Eisen, Linda Rabeneck, Ellen Warner

Abstract read
In one paragraph

Article in Journal of the National Cancer Institute, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing 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

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

  1. Guideline
  2. Pooled it
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  5. Diagnostic sensitivity of mammography and magnetic resonance imaging for ductal carcinomaChinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2025
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  19. ER-positive and BRCA2-mutated breast cancer: a literature review.European journal of medical research · 2024
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Anna M ChiarelliPrevention and Cancer Control, Cancer Care Ontario, Toronto, Ontario, Canada.
Kristina M BlackmorePrevention and Cancer Control, Cancer Care Ontario, Toronto, Ontario, Canada.
Derek MuradaliPrevention and Cancer Control, Cancer Care Ontario, Toronto, Ontario, Canada.
Susan J DoneLaboratory Medicine Program, University Health Network, Toronto, Ontario, Canada.
Vicky MajpruzPrevention and Cancer Control, Cancer Care Ontario, Toronto, Ontario, Canada.
Ashini WeerasinghePrevention and Cancer Control, Cancer Care Ontario, Toronto, Ontario, Canada.
Lucia MireaDalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.
Andrea EisenDivision of Medical Oncology, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.
Linda RabeneckPrevention and Cancer Control, Cancer Care Ontario, Toronto, Ontario, Canada.
Ellen WarnerDivision of Medical Oncology, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Ontario Breast Screening Program expanded in July 2011 to screen high-risk women age 30-69 years with annual magnetic resonance imaging (MRI) and digital mammography. This study examined the benefits of screening with mammography and MRI by age and risk criteria.

methodsThis prospective cohort study included 8782 women age 30-69 years referred to the High Risk Ontario Breast Screening Program from July 2011 to June 2015, with final results to December 2016. Cancer detection rates, sensitivity, and specificity of MRI and mammography combined were compared with each modality individually within risk groups stratified by age using generalized estimating equation models. Prognostic features of screen-detected breast cancers were compared by modality using Fisher exact test. All P values are two-sided.

resultsAmong 20 053 screening episodes, there were 280 screen-detected breast cancers (cancer detection rate = 14.0 per 1000, 95% confidence interval [CI] = 12.4 to 15.7). The sensitivity of mammography was statistically significantly lower than that of MRI plus mammography (40.8%, 95% CI = 29.3% to 53.5% vs 96.0%, 95% CI = 92.2% to 98.0%, P < .001). In mutation carriers age 30-39 years, sensitivity of the combination was comparable with MRI alone (100.0% vs 96.8%, 95% CI = 79.2% to 100.0%, P = .99) but with statistically significantly decreased specificity (78.0%, 95% CI = 74.7% to 80.9% vs 86.2%, 95% CI = 83.5% to 88.5%, P < .001). In women age 50-69 years, combining MRI and mammography statistically significantly increased sensitivity compared with MRI alone (96.3%, 95% CI = 90.6% to 98.6% vs 90.9%, 95% CI = 83.6% to 95.1%, P = .02), with a small but statistically significant decrease in specificity (84.2%, 95% CI = 83.1% to 85.2% vs 90.0%, 95% CI = 89.2% to 90.9%, P < .001).

conclusionsScreening high risk women age 30-39 years with annual MRI only may be sufficient for cancer detection and should be evaluated further, particularly for mutation carriers. Among women age 50-69 years, detection is most effective when mammography is included with annual MRI.

Indexed as

Magnetic Resonance ImagingMammographyAdultAgedAged, 80 and overBreast NeoplasmsEarly Detection of CancerFemaleHumansMass ScreeningMiddle AgedOntarioPublic Health SurveillanceReproducibility of ResultsSensitivity and Specificity

Identifiers

PMID31233143
PMCPMC7019092

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.