ArticleFrontiers in oncology2016
Development and Validation of an Algorithm to Identify Patients with Multiple Myeloma Using Administrative Claims Data.
Article in Frontiers in oncology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Association of platinum-based chemotherapy with live birth and infertility in female survivors of adolescent and young adult cancer.Fertility and sterility · 2024Article
- Natural Language Processing-Assisted Classification Models to Confirm Monoclonal Gammopathy of Undetermined Significance and Progression in Veterans' Electronic Health Records.JCO clinical cancer informatics · 2023Article
- Long-term antimüllerian hormone patterns differ by cancer treatment exposures in young breast cancer survivors.Fertility and sterility · 2022Article
- Discharge status and post-discharge healthcare costs after skeletal-related event hospitalizations among medicare patients with bone metastatic solid tumors or multiple myeloma.Journal of bone oncology · 2021Article
- Evaluation of the accuracy of algorithms to identify soft tissue sarcoma (STS) in administrative claims.Clinical sarcoma research · 2020Article
- Costs Associated with Productivity Loss Among U.S. Patients Newly Diagnosed with Multiple Myeloma Receiving Oral Versus Injectable Chemotherapy.Journal of managed care & specialty pharmacy · 2018Article
- Identifying multiple myeloma patients using data from the French health insurance databases: Validation using a cancer registry.Medicine · 2017Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThe objective was to expand on prior work by developing and validating a new algorithm to identify multiple myeloma (MM) patients in administrative claims.
methodsTwo files were constructed to select MM
conclusionThree claims-based algorithms were validated with ~10% improvement in PPV (87-94%) over prior work (81%) and the baseline algorithm (76%) and can be considered for future research. Consistent with prior work, it was found that MM diagnoses before and after tests were needed.
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Registered trials
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