Temporal and Demographic Trends in Biopsy-Proven Kidney Disease Diagnoses in the Southwestern United States, 1993-2022
To our best knowledge, we provided the largest and latest medical kidney biopsy data, which may provide valuable insights to predict the relative likelihood of a disease diagnosis in a daily medical practice.
Authors
- Hae Yoon Grace Choung (ORCID: https://orcid.org/0000-0002-0831-7067)
- Toshiki Doi (ORCID: https://orcid.org/0000-0001-8870-5790)
- Jean Hou (ORCID: https://orcid.org/0000-0002-0361-0483)
- Akira Takahashi (ORCID: https://orcid.org/0000-0003-4289-9838)
- James Mirocha (ORCID: https://orcid.org/0000-0002-2338-193X)
- Mark Haas (ORCID: https://orcid.org/0000-0002-7181-4664)
- M Yamashita (ORCID: https://orcid.org/0000-0001-6221-8900)
- Mercury Lin
- Daisuke Kiyozawa (ORCID: https://orcid.org/0000-0002-3761-8491)
- Takamasa Miyauchi
- Cynthia C. Nast (ORCID: https://orcid.org/0000-0001-8243-9073)
- Takao Masaki (ORCID: https://orcid.org/0000-0003-4271-9964)
- Yi Mi Kevin Ren
- Yoshinao Oda
Institutions
- Cedars-Sinai Medical Center (US)
- Kyushu University (JP)
- Hiroshima University Hospital (JP)
Publication Details
- Journal
- Kidney Medicine
- Published
- 2025-10-04
- DOI
- https://doi.org/10.1016/j.xkme.2025.101131
- Citations
- 1
- Primary Topic
- Renal Diseases and Glomerulopathies
- Type
- article
- Field-Weighted Citation Impact
- 1.43