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Volume Progression in Autosomal Dominant Polycystic Kidney Disease: The Major Factor Determining Clinical Outcomes

Grantham, Jared J., Chapman, Arlene B., Torres, Vicente E.·2006·Clinical Journal of the American Society of Nephrology

Abstract

Autosomal dominant polycystic kidney disease (PKD) is a hereditary condition characterized by the progressive enlargement of innumerable renal cysts that contribute to life-altering morbidity early in the course of the disease. Evidence indicates that the rate of increase in kidney volume can be reliably measured by magnetic resonance or computed tomography imaging, thus providing objective means to judge the effectiveness of therapies that are targeted to the aberrant growth of renal tubules. It is now possible, therefore, to monitor the effectiveness of potential therapies on the signature abnormality in autosomal dominant PKD before irreversible damage has been done by the cysts. Evidence accumulated from human cross-sectional and longitudinal studies and longitudinal studies of PKD models in animals provide strong support for the view that reducing the rate of kidney volume enlargement will ameliorate the late-stage development of renal insufficiency.

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Metadata

Authors
Grantham, J. J., Chapman, A. B., & Torres, V. E.
Venue
Clinical Journal of the American Society of Nephrology
Published
2006-01
Volume
1
Issue
1
Pages
148-157
ISSN
1555-9041 (ISSN-L)
OpenAlex
W2129253605
Cited by
278
References
0
FWCI
3.53
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Volume Progression in Autosomal Dominant Polycystic Kidney Disease: The Major Factor Determining Clinical Outcomes. https://app.cochat.ai/papers/10.2215/cjn.00330705
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Grantham, J. J., Chapman, A. B., & Torres, V. E. (2006). Volume Progression in Autosomal Dominant Polycystic Kidney Disease: The Major Factor Determining Clinical Outcomes. Clinical Journal of the American Society of Nephrology. https://doi.org/10.2215/cjn.00330705

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.