ArticleMedical care2016
Validation of a Medicare Claims-based Algorithm for Identifying Breast Cancers Detected at Screening Mammography.
Article in Medical care, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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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.
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.
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Who cites it
23 citing papers in PubMed.
- Diagnostic yield of surveillance mammography among older women.Journal of the National Cancer Institute · 2026Article
- Accuracy of self-reported exam indications for breast cancer screening.JNCI cancer spectrum · 2025Article
- German mammography screening program: program sensitivity between 2010 and 2016 estimated based on German health claims data.BMC cancer · 2023Article
- MilCanEpi: Increased Capability for Cancer Care Research in the Department of Defense.JCO clinical cancer informatics · 2023Article
- Observational
- Comparative Effectiveness of Digital Breast Tomosynthesis for Breast Cancer Screening Among Women 40-64 Years Old.Journal of the National Cancer Institute · 2021Observational
- Analysis of Sociodemographic, Clinical, and Genomic Factors Associated With Breast Cancer Mortality in the Linked Surveillance, Epidemiology, and End Results and Medicare Database.JAMA network open · 2021Article
- Validation of an Optimized Algorithm for Identifying Persons Living With Diagnosed HIV From New York State Medicaid Data, 2006-2014.American journal of epidemiology · 2020Article
- Identification of cancer patients using claims data from health insurance systems: A real-world comparative study.Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2019Article
- Association of State Dense Breast Notification Laws With Supplemental Testing and Cancer Detection After Screening Mammography.American journal of public health · 2019Article
- Evaluating Lung Cancer Screening Uptake, Outcomes, and Costs in the United States: Challenges With Existing Data and Recommendations for Improvement.Journal of the National Cancer Institute · 2019Article
- Vulnerable And Less Vulnerable Women In High-Deductible Health Plans Experienced Delayed Breast Cancer Care.Health affairs (Project Hope) · 2019Article
- Leveraging Linkage of Cohort Studies With Administrative Claims Data to Identify Individuals With Cancer.Medical care · 2018Article
- Article
- Breast Cancer Diagnosis and Treatment After High-Deductible Insurance Enrollment.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2018Article
- A novel approach for medical research on lymphomas: A study validation of claims-based algorithms to identify incident cases.Medicine · 2018Article
- Differential Use of Screening Mammography in Older Women Initiating Metformin versus Sulfonylurea.Pharmacoepidemiology and drug safety · 2017Article
- Challenges With Identifying Indication for Examination in Breast Imaging as a Key Clinical Attribute in Practice, Research, and Policy.Journal of the American College of Radiology : JACR · 2017Article
- Profiling Patient Characteristics Associated With the Intensity of Nurse Care Coordination.Western journal of nursing research · 2017Article
- Geographic Disparity in the Use of Hypofractionated Radiation Therapy Among Elderly Women Undergoing Breast Conservation for Invasive Breast Cancer.International journal of radiation oncology, biology, physics · 2016Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
backgroundThe breast cancer detection rate is a benchmark measure of screening mammography quality, but its computation requires linkage of mammography interpretive performance information with cancer incidence data. A Medicare claims-based measure of detected breast cancers could simplify measurement of this benchmark and facilitate mammography quality assessment and research.
objectivesTo validate a claims-based algorithm that can identify with high positive predictive value (PPV) incident breast cancers that were detected at screening mammography. RESEARCH
designDevelopment of a claims-derived algorithm using classification and regression tree analyses within a random half-sample of Medicare screening mammography claims followed by validation of the algorithm in the remaining half-sample using clinical data on mammography results and cancer incidence from the Breast Cancer Surveillance Consortium (BCSC). SUBJECTS: Female fee-for-service Medicare enrollees aged 68 years and older who underwent screening mammography from 2001 to 2005 within BCSC registries in 4 states (CA, NC, NH, and VT), enabling linkage of claims and BCSC mammography data (N=233,044 mammograms obtained by 104,997 women). MEASURES: Sensitivity, specificity, and PPV of algorithmic identification of incident breast cancers that were detected by radiologists relative to a reference standard based on BCSC mammography and cancer incidence data.
resultsAn algorithm based on subsequent codes for breast cancer diagnoses and treatments and follow-up mammography identified incident screen-detected breast cancers with 92.9% sensitivity [95% confidence interval (CI), 91.0%-94.8%], 99.9% specificity (95% CI, 99.9%-99.9%), and a PPV of 88.0% (95% CI, 85.7%-90.4%).
conclusionsA simple claims-based algorithm can accurately identify incident breast cancers detected at screening mammography among Medicare enrollees. The algorithm may enable mammography quality assessment using Medicare claims alone.
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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.