Patients With Mild ADPKD by Kidney Imaging but Low Estimated GFR

Mild ADPKD by imaging with low eGFR represents a significant clinical scenario with conflicting prognostic indicators, underscoring the need for delineating underlying causes and providing more appropriate management.

Authors

Institutions

Publication Details

Journal
Kidney International Reports
Published
2025-04-05
DOI
https://doi.org/10.1016/j.ekir.2025.03.045
Citations
4
Primary Topic
Genetic and Kidney Cyst Diseases
Type
article
Field-Weighted Citation Impact
7.27

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Patients With Mild ADPKD by Kidney Imaging but Low Estimated GFR

Maren Cam, Amirreza Haghighi, Seung Heyck Lee, Saima Khowaja et al.
4 citations
Kidney International Reports
Genetic and Kidney Cyst Diseases
7.27
article

Patients With Mild ADPKD by Kidney Imaging but Low Estimated GFR

Maren Cam, Amirreza Haghighi, Seung Heyck Lee, Saima Khowaja, Taher Dehkharghanian, York Pei, Korosh Khalili, Xuewen Song, Fatemah Nasri
article en
4 citations

Abstract

Mild ADPKD by imaging with low eGFR represents a significant clinical scenario with conflicting prognostic indicators, underscoring the need for delineating underlying causes and providing more appropriate management.

Kidney International ReportsVol. 10(6)
Brigham and Women's Hospital (US), University Health Network (CA), Harvard University (US), University of Toronto (CA)
Canadian Institutes of Health Research
Good health and well-being
Openalex Percentile: Top 3%
Genetic and Kidney Cyst Diseases
7.27
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.