Hospitalizations for Unspecified Mycoses in a Large Administrative Data Set and Implications for Fungal Disease Burden Estimates, United States, 2019-2021.
Sign Up to like & getrecommendations! Published in 2023 at "Open forum infectious diseases"
DOI: 10.1093/ofid/ofad100
Abstract: Fungal diseases are frequently coded as "unspecified mycoses" in data sets used to estimate disease burden. In a large administrative database, 50.9% of unspecified mycosis hospitalizations during 2019-2021 had positive fungal laboratory testing, most commonly… read more here.
Keywords: unspecified mycoses; 2019 2021; disease burden; large administrative ... See more keywords
The association of new-onset diabetes with subsequent diagnosis of pancreatic cancer-novel use of a large administrative database.
Sign Up to like & getrecommendations! Published in 2022 at "Journal of public health"
DOI: 10.1093/pubmed/fdac118
Abstract: BACKGROUND Screening options for pancreatic ductal adenocarcinoma (PDAC) are limited. New-onset type 2 diabetes (NoD) is associated with subsequent diagnosis of PDAC in observational studies and may afford an opportunity for PDAC screening. We evaluated… read more here.
Keywords: subsequent diagnosis; administrative database; diagnosis; large administrative ... See more keywords
Matching Methods for Observational Studies Derived from Large Administrative Databases
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DOI: 10.1214/19-sts699
Abstract: We propose new optimal matching techniques for large administrative data sets. In current practice, very large matched samples are constructed by subdividing the population and solving a series of smaller problems, for instance, matching men… read more here.
Keywords: large administrative; derived large; studies derived; methods observational ... See more keywords