Evidence map›Paper›PMID 25624767›Full record

ArticleClinicoEconomics and outcomes research : CEOR2015

Value analysis of digital breast tomosynthesis for breast cancer screening in a commercially-insured US population.

Machaon M Bonafede, Vivek B Kalra, Jeffrey D Miller, Laurie L Fajardo

Registry-linked trialAbstract read
In one paragraph

Article in ClinicoEconomics and outcomes research : CEOR, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02835625 (Digital Breast Tomosynthesis - The Future Screening Tool for Breast Cancer?), which is not on this map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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.

NCT02835625 nacompletednot on this mapstarted 2016, after this paper: background citation

Digital Breast Tomosynthesis - The Future Screening Tool for Breast Cancer?

TypeinterventionalSponsorNorwegian Institute of Public HealthRan2016 to 2021Enrolled29,453ConditionsBreast NeoplasmsArmsSynthetic Mammography + Digital Breast Tomosynthesis, Digital mammography
3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
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  6. Observational
  7. Review
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

4 authors.

Machaon M BonafedeTruven Health Analytics, Cambridge, MA, USA.
Vivek B KalraYale University School of Medicine, New Haven, CT, USA.
Jeffrey D MillerTruven Health Analytics, Cambridge, MA, USA.
Laurie L FajardoDepartment of Radiology, University of Iowa College of Medicine, Iowa City, IA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe objective of this study was to conduct a value analysis of digital breast tomosynthesis (DBT) for breast cancer screening among women enrolled in US commercial health insurance plans to assess the potential budget impact associated with the clinical benefits of DBT.

methodsAn economic model was developed to estimate the system-wide financial impact of DBT as a breast cancer screening modality within a hypothetical US managed care plan with one million members. Two scenarios were considered for women in the health plan who undergo annual screening mammography, ie, full field digital mammography (FFDM) and combined FFDM + DBT. The model focused on two main drivers of DBT value, ie, the capacity for DBT to reduce the number of women recalled for additional follow-up imaging and diagnostic services and the capacity of DBT to facilitate earlier diagnosis of cancer at less invasive stages where treatment costs are lower. Model inputs were derived from published sources and from analyses of the Truven Health MarketScan(®) Research Databases (2010-2012). Comparative clinical and economic outcomes were simulated for one year following screening and compared on an incremental basis.

resultsBase-case analysis results show that 4,523 women in the hypothetical million member health plan who are screened using DBT avoid the use of follow-up services. The overall benefit of DBT was calculated at $78.53 per woman screened. Adjusting for a hypothetical $50 incremental cost of the DBT examination, this translates to $28.53 savings per woman screened, or $0.20 savings per member per month across the plan population and an overall cost savings to the plan of $2.4 million per year.

conclusionThe results of this study demonstrate clinical and economic favorability of DBT for breast cancer screening among commercially-insured US women. Wider adoption of DBT mammography presents an opportunity to deliver value-based care in the US health care system.

Indexed as

breast cancer screeningcost analysisdigital breast tomosynthesiseconomic modelmammographyvalue analysis

Identifiers

PMID25624767
PMCPMC4296908

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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.