Evidence map›Paper›PMID 26676235›Full record

ArticleHealth reports2015

Total cost-effectiveness of mammography screening strategies.

Nicole Mittmann, Natasha K Stout, Pablo Lee, Anna N A Tosteson, Amy Trentham-Dietz, Oguzhan Alagoz, Martin J Yaffe

Abstract read
In one paragraph

Article in Health reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 4 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

19 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Systematic Review of the Cost Effectiveness of Breast Cancer Prevention, Screening, and Treatment Interventions.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2020
    Pooled it
  3. Pooled it
  4. Recommendations on screening for breast cancer in women aged 40-74 years who are not at increased risk for breast cancer.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2018
    Guideline
  5. A Comparison of Methods for Modeling Multistate Cancer Progression Using Screening Data with Censoring after Intervention.Medical decision making : an international journal of the Society for Medical Decision Making · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Suicide Prevention Guideline Implementation in Specialist Mental Healthcare Institutions in The Netherlands.International journal of environmental research and public health · 2018
    Article
  17. Article
  18. Article
  19. 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

7 authors.

Nicole MittmannHealth Outcomes and PharmacoEconomic (HOPE) Research Centre at Sunnybrook Research Institute and the University of Toronto.
Natasha K StoutDepartment of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute.
Pablo LeeInstitute for Technology Assessment, Massachusetts General Hospital.
Anna N A TostesonDartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine at Dartmouth.
Amy Trentham-DietzDepartment of Population Health Sciences and Carbone Cancer Center, University of Wisconsin.
Oguzhan AlagozDepartment of Population Health Sciences and Carbone Cancer Center and the Department of Industrial and Systems Engineering, University of Wisconsin.
Martin J YaffePhysical Sciences Program, Sunnybrook Research Institute; Departments of Medical Biophysics and Medical Imaging, University of Toronto.

Funding

Translational Engineering in Cancer (TEC)P30CA023108 · NCI · DARTMOUTH COLLEGE · PI Steven D Leach · 1985 to 2026
$91.3M
Comparative Modeling: Informing Breast Cancer Control Practice & PolicyU01CA152958 · NCI · GEORGETOWN UNIVERSITY · PI BERRY, DONALD A, DE KONING, HARRY J · 2010 to 2015
$7.6M
Comparative effectiveness of breast imaging strategies in community practiceUC2CA148577 · NCI · KAISER FOUNDATION HEALTH PLAN OF WASHINGTON · PI BUIST, DIANA SM, GELLER, BERTA M · 2010 to 2010
$2.0M
NCI NIH HHS HHSN261201100031CNCI NIH HHS P30 CA023108NCI NIH HHS U01 CA152958NCI NIH HHS UC2 CA148577NCI NIH HHS UC2CA148577PHS HHS HHSN261201100031C
6 · The paper itself

Abstract

backgroundBreast cancer screening technology and treatment have improved over the past decade. This analysis evaluates the total cost-effectiveness of various breast cancer screening strategies in Canada. DATA AND

methodsUsing the Wisconsin Cancer Intervention and Surveillance Monitoring Network (CISNET) breast cancer simulation model adapted to the Canadian context, costs and quality-adjusted life years (QALY) were evaluated for 11 mammography screening strategies that varied by start/stop age and screening frequency for the general population. Incremental cost-effectiveness ratios are presented, and sensitivity analyses are used to assess the robustness of model conclusions.

resultsIncremental cost-effectiveness analysis showed that triennial screening at ages 50 to 69 was the most cost-effective at $94,762 per QALY. Biennial ($97,006 per QALY) and annual ($226,278 per QALY) strategies had higher incremental ratios.

interpretationThe benefits and costs of screening rise with the number of screens per woman. Decisions about screening strategies may be influenced by willingness to pay and the rate of recall for further examination after positive screens.

Indexed as

Cost-Benefit AnalysisAdultAgedBreast NeoplasmsCanadaEarly Detection of CancerFemaleHumansMammographyMass ScreeningMiddle AgedModels, StatisticalQuality-Adjusted Life YearsSensitivity and SpecificityBreast screeningeconomic analysismicrosimulation modelpreventive health

Identifiers

PMID26676235
PMCPMC4894487

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.