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Cited by 250

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Pathophysiology of Peritoneal Membrane Failure

Krediet, Raymond T., Lindholm, Bengt, Rippe, Bengt·2000·Peritoneal Dialysis International: Journal of the International Society for Peritoneal Dialysis

Abstract

Various mathematical models have been used for the assessment of the peritoneum as a dialysis membrane, for example, membrane models and distributed models. These have been discussed by Lysaght and Farrel (1) and by Waniewski (2). The present review is based on the three-pore model (3–5). The peritoneal membrane, as used for peritoneal dialysis (PD), can be divided into three parts for the purpose of simplicity. These are the mesothelium, the interstitial tissue, and the microvessels present in the interstitial tissue. It is unlikely that the mesothelium is an important barrier to solute transport because no osmotic pressure gradient across it was found during PD in rats (6). The barrier function of interstitial tissue is not very well known. Using in vivo microscopy

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Metadata

Authors
Krediet, R. T., Lindholm, B., & Rippe, B.
Venue
Peritoneal Dialysis International: Journal of the International Society for Peritoneal Dialysis
Published
2000-09
Volume
20
Issue
4_suppl
Pages
22-42
ISSN
  • 0896-8608 (ISSN-L)
  • 1718-4304
OpenAlex
W2117324021
Cited by
250
References
1
FWCI
6.64
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Pathophysiology of Peritoneal Membrane Failure. https://app.cochat.ai/papers/10.1177/089686080002004s03
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Krediet, R. T., Lindholm, B., & Rippe, B. (2000). Pathophysiology of Peritoneal Membrane Failure. Peritoneal Dialysis International: Journal of the International Society for Peritoneal Dialysis. https://doi.org/10.1177/089686080002004s03

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.