Evidence map›Paper›PMID 37222019›Full record

ReviewJournal of cachexia, sarcopenia and muscle2023

Kidney function in cachexia and sarcopenia: Facts and numbers.

Masatsugu Okamura, Masaaki Konishi, Javed Butler, Kamyar Kalantar-Zadeh, Stephan von Haehling, Stefan D Anker

Open access · goldAbstract readReview
In one paragraph

Review in Journal of cachexia, sarcopenia and muscle, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
7.9field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

37 citing papers in PubMed, 45 citations in OpenAlex.

  1. Article
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  11. Calf circumference predicts sarcopenia and all-cause mortality in older patients undergoing maintenance hemodialysis: A prospective cohort study.Nutrition in clinical practice : official publication of the American Society for Parenteral and Enteral Nutrition · 2026
    Observational
  12. Article
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  14. Review
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  18. The Japanese Society of Hypertension Guidelines for the management of elevated blood pressure and hypertension 2025 (JSH2025).Hypertension research : official journal of the Japanese Society of Hypertension · 2026
    Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 6 institutions in 4 countries.

Masatsugu OkamuraBerlin Institute of Health Center for Regenerative Therapies (BCRT), Charité - Universitätsmedizin Berlin, Berlin, Germany.ORCID 0000-0001-9136-5037
Masaaki KonishiDepartment of Cardiology, School of Medicine, Yokohama City University, Yokohama, Japan.
Javed ButlerBaylor Scott and White Research Institute, Dallas, Texas, USA.
Kamyar Kalantar-ZadehDepartment of Medicine, Division of Nephrology, Hypertension and Kidney Transplantation, University of California Irvine School of Medicine, Orange, California, USA.
Stephan von HaehlingDepartment of Cardiology and Pneumology, University Medical Center Göttingen, Göttingen, Germany.
Stefan D AnkerBerlin Institute of Health Center for Regenerative Therapies (BCRT), Charité - Universitätsmedizin Berlin, Berlin, Germany.
Berlin Institute of Health at Charité - Universitätsmedizin Berlin · DEJackson Memorial Hospital · USUniversitätsmedizin Göttingen · DEUniversity of California, Irvine · USWroclaw Medical University · PLYokohama City University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cachexia, in the form of unintentional weight loss >5% in 12 months or less, and secondary sarcopenia in the form of muscle wasting are serious conditions that affect clinical outcomes. A chronic disease state such as chronic kidney disease (CKD) often contributes to these wasting disorders. The purpose of this review is to summarize the prevalence of cachexia and sarcopenia, their relationship with kidney function, and indicators for evaluating kidney function in patients with CKD. It is estimated that approximately half of all persons with CKD will develop cachexia with an estimated annual mortality rate of 20%, but few studies have been conducted on cachexia in CKD. Hence, the true prevalence of cachexia in CKD and its effects on kidney function and patient outcomes remain unclear. Some studies have highlighted the concept of protein-energy wasting (PEW) which usually include sarcopenia and cachexia. Several studies have examined kidney function and CKD progression in patients with sarcopenia. Most studies use serum creatinine levels to estimate kidney function. However, creatinine may be influenced by muscle mass, and creatinine-based glomerular filtration rate may overestimate kidney function in patients with reduced muscle mass or muscle wasting. Cystatin C, which is least affected by muscle mass, has been used in some studies, and creatinine-to-cystatin-C ratio has emerged as an important prognostic marker. A previous study incorporating 428 320 participants reported that participants with CKD and sarcopenia had a 33% higher hazard of mortality compared with those without (7% to 66%, P = 0.011), and that those with sarcopenia were twice as likely to develop end-stage kidney disease (hazard ratio: 1.98; 1.45 to 2.70, P < 0.001). Future studies on cachexia and sarcopenia in patients with CKD are needed to report rigorously defined cachexia concerning kidney function. Moreover, in studies on sarcopenia with CKD, it is desirable to accumulate studies using cystatin C to accurately estimate kidney function.

Indexed as

Renal Insufficiency, ChronicSarcopeniaCachexiaCreatinineCystatin CHumansKidneyCreatinineCystatin CCachexiaChronic kidney diseaseCystatin CProtein-energy wastingSarcopenia

Identifiers

PMID37222019
PMCPMC10401526
OpenAlexW4377940267

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.