ArticleBMC medical research methodology2012
Supplementing claims data with outpatient laboratory test results to improve confounding adjustment in effectiveness studies of lipid-lowering treatments.
Article in BMC medical research methodology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 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.
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Who cites it
22 citing papers in PubMed, 37 citations in OpenAlex.
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- Measuring prevalence and incidence of chronic conditions in claims and electronic health record databases.Clinical epidemiology · 2019Article
- Propensity score prediction for electronic healthcare databases using Super Learner and High-dimensional Propensity Score Methods.Journal of applied statistics · 2019Article
- Evaluation of Electronic Healthcare Databases for Post-Marketing Drug Safety Surveillance and Pharmacoepidemiology in China.Drug safety · 2018Article
- Cardiovascular Safety of Tocilizumab Versus Tumor Necrosis Factor Inhibitors in Patients With Rheumatoid Arthritis: A Multi-Database Cohort Study.Arthritis & rheumatology (Hoboken, N.J.) · 2017Article
- Conducting Privacy-Preserving Multivariable Propensity Score Analysis When Patient Covariate Information Is Stored in Separate Locations.American journal of epidemiology · 2017Article
- Gout and the Risk of Non-vertebral Fracture.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2017Article
- Few Disparities in Baseline Laboratory Testing After the Diuretic or Digoxin Initiation by Medicare Fee-For-Service Beneficiaries.Circulation. Cardiovascular quality and outcomes · 2016Article
- Effects of xanthine oxidase inhibitors on cardiovascular disease in patients with gout: a cohort study.The American journal of medicine · 2015Article
- Incorporating linked healthcare claims to improve confounding control in a study of in-hospital medication use.Drug safety · 2015Article
- Disease-modifying antirheumatic drug use and the risk of incident hyperlipidemia in patients with early rheumatoid arthritis: a retrospective cohort study.Arthritis care & research · 2015Observational
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Corrections and comments
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Authors and funding
11 authors at 4 institutions in 2 countries.
Funding
Abstract
backgroundAdjusting for laboratory test results may result in better confounding control when added to administrative claims data in the study of treatment effects. However, missing values can arise through several mechanisms.
methodsWe studied the relationship between availability of outpatient lab test results, lab values, and patient and system characteristics in a large healthcare database using LDL, HDL, and HbA1c in a cohort of initiators of statins or Vytorin (ezetimibe & simvastatin) as examples.
resultsAmong 703,484 patients 68% had at least one lab test performed in the 6 months before treatment. Performing an LDL test was negatively associated with several patient characteristics, including recent hospitalization (OR = 0.32, 95% CI: 0.29-0.34), MI (OR = 0.77, 95% CI: 0.69-0.85), or carotid revascularization (OR = 0.37, 95% CI: 0.25-0.53). Patient demographics, diagnoses, and procedures predicted well who would have a lab test performed (AUC = 0.89 to 0.93). Among those with test results available claims data explained only 14% of variation.
conclusionsIn a claims database linked with outpatient lab test results, we found that lab tests are performed selectively corresponding to current treatment guidelines. Poor ability to predict lab values and the high proportion of missingness reduces the added value of lab tests for effectiveness research in this setting.
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