Incidence, prevalence, and racial and ethnic distribution of inflammatory bowel disease in the United States

JD Lewis, LE Parlett, MLJ Funk, C Brensinger, V Pate… - Gastroenterology, 2023 - Elsevier
Background & Aims We sought to estimate the incidence, prevalence, and racial-ethnic
distribution of physician-diagnosed inflammatory bowel disease (IBD) in the United States …

Incidence, Prevalence, and Racial and Ethnic Distribution of Inflammatory Bowel Disease in the United States

JD Lewis, LE Parlett, MLJ Funk, C Brensinger, V Pate… - Gastroenterology, 2023 - Elsevier
Background & Aims We sought to estimate the incidence, prevalence, and racial-ethnic
distribution of physician-diagnosed inflammatory bowel disease (IBD) in the United States …

Incidence, Prevalence, and Racial and Ethnic Distribution of Inflammatory Bowel Disease in the United States

JD Lewis, LE Parlett, MLJ Funk, C Brensinger… - …, 2023 - gastrojournal.org
Background & Aims We sought to estimate the incidence, prevalence, and racial-ethnic
distribution of physician-diagnosed inflammatory bowel disease (IBD) in the United States …

Incidence, Prevalence, and Racial and Ethnic Distribution of Inflammatory Bowel Disease in the United States

JD Lewis, LE Parlett, MLJ Funk… - …, 2023 - pubmed.ncbi.nlm.nih.gov
Background & aims We sought to estimate the incidence, prevalence, and racial-ethnic
distribution of physician-diagnosed inflammatory bowel disease (IBD) in the United States …

[HTML][HTML] Incidence, Prevalence and Racial and Ethnic Distribution of Inflammatory Bowel Disease in the United States

JD Lewis, LE Parlett, ML Jonsson-Funk, C Brensinger… - stacks.cdc.gov
Background & Aims: We sought to estimate the incidence, prevalence and racial-ethnic
distribution of physician-diagnosed inflammatory bowel disease (IBD) in the United States …

Incidence, Prevalence and Racial and Ethnic Distribution of Inflammatory Bowel Disease in the United States.

JD Lewis, LE Parlett, ML Jonsson-Funk… - …, 2023 - europepmc.org
Methods The study utilized four administrative claims datasets: a 20% random sample of
national fee for service Medicare data (2007 to 2017); Medicaid data from Florida, New York …