Cited by 292Dialysis and Renal Disease ManagementClinical Nutrition and GastroenterologyNutrition and Health in Aging

Protein nutrition and malnutrition in CKD and ESRD

Open access
Zha, Yan, Qian, Qi·2017·Nutrients

Abstract

Elevated protein catabolism and protein malnutrition are common in patients with chronic kidney disease (CKD) and end‐stage renal disease (ESRD). The underlying etiology includes, but is not limited to, metabolic acidosis intestinal dysbiosis; systemic inflammation with activation of complements, endothelin‐1 and renin‐angiotensin‐aldosterone (RAAS) axis; anabolic hormone resistance; energy expenditure elevation; and uremic toxin accumulation. All of these derangements can further worsen kidney function, leading to poor patient outcomes. Many of these CKD‐related derangements can be prevented and substantially reversed, representing an area of great potential to improve CKD and ESRD care. This review integrates known information and recent advances in the area of protein nutrition and malnutrition in CKD and ESRD. Management recommendations are summarized. Thorough understanding the pathogenesis and etiology of protein malnutrition in CKD and ESRD patients will undoubtedly facilitate the design and development of more effective strategies to optimize protein nutrition and improve outcomes.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.3390/nu9030208

Cites

173 of 173 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

2 of the 175 references couldn’t be matched to a known paper.

Cited by

Sorted by citations

Authors
Zha, Y., & Qian, Q.
Affiliations
  • Guizhou Provincial People's Hospital (CN)
  • Mayo Clinic (US)
Corresponding author
Qian, Qi
Venue
Nutrients
Publisher
MDPI AG
Published
2017-02-27
Volume
9
Issue
3
Pages
208
ISSN
2072-6643 (ISSN-L)
OpenAlex
W2592471438
Cited by
292
References
175
Citations by year
2026: 30 · 2025: 35 · 2024: 35 · 2023: 39 · 2022: 43 · 2021: 33 · 2020: 31 · 2019: 23 · 2018: 18 · 2017: 4
FWCI
2.78
Type
journal article
Language
en
Open access
Locations
  • Nutrients (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Topics
  • Health Sciences › Medicine › Nephrology › Dialysis and Renal Disease Management
  • Health Sciences › Nursing › Nutrition and Dietetics › Clinical Nutrition and Gastroenterology
  • Health Sciences › Medicine › Physiology › Nutrition and Health in Aging
Keywords
protein malnutrition, chronic kidney disease, end-stage renal disease, protein degradation, metabolic acidosis, gut dysbiosis, systemic inflammation, complement activation, endothelin-1, renin-angiotensin-aldosterone system, energy expenditure, uremic toxins, dietary management
MeSH terms
Adult, Dietary Proteins, Humans, Kidney Failure, Chronic, Metabolic Diseases, Nutritional Status, Protein-Energy Malnutrition, Randomized Controlled Trials as Topic, Renal Insufficiency, Chronic

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review