Evidence map›Paper›PMID 22777757›Full record

ArticleJournal of cachexia, sarcopenia and muscle2013

Serum creatinine as a marker of muscle mass in chronic kidney disease: results of a cross-sectional study and review of literature.

Sapna S Patel, Miklos Z Molnar, John A Tayek, Joachim H Ix, Nazanin Noori, Deborah Benner, Steven Heymsfield, Joel D Kopple, Csaba P Kovesdy, Kamyar Kalantar-Zadeh

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Journal of cachexia, sarcopenia and muscle, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02598271 (Influence of Elevated Baseline Serum Creatinine and Body Composition on Acute Kidney Injury in Cardiac Surgery - The InCreAS Trial), which is not on this map. Cited by 214 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
214citing papers in PubMed, 4 pooled it
6.8field-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.

NCT02598271 completednot on this mapstarted 2016, after this paper: background citation

Influence of Elevated Baseline Serum Creatinine and Body Composition on Acute Kidney Injury in Cardiac Surgery - The InCreAS Trial

TypeobservationalSponsorMedical University of ViennaRan2016 to 2022Enrolled200ConditionsAcute Kidney Injury
3 · Its place in the literature

Who cites it

214 citing papers in PubMed, 4 syntheses or guidelines pooled it, 411 citations in OpenAlex.

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  14. Leveraging Multiomic Signatures to Predict Body Composition.Advances in nutrition (Bethesda, Md.) · 2026
    Review
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154 more citing papers are in PubMed but not listed here.

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

10 authors at 7 institutions in 2 countries.

Sapna S PatelDivision of Nephrology and Hypertension, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA.
Miklos Z Molnar
John A Tayek
Joachim H Ix
Nazanin Noori
Deborah Benner
Steven Heymsfield
Joel D Kopple
Csaba P Kovesdy
Kamyar Kalantar-Zadeh
UCLA Medical Center · USHarbor–UCLA Medical Center · USPennington Biomedical Research Center · USSalem VA Medical Center · USThe Lundquist Institute · USUniversity of California, Los Angeles · USUniversity of California, San Diego · US

Funding

ZONA-FREE HAMSTER OVA ASSAY AS AN INDICATOR OF MALE FERTILITYM01RR000425 · NCRR · LUNDQUIST INSTITUTE FOR BIOMEDICAL INNOVATION AT HARBOR-UCLA MEDICAL CENTER · PI ANDERSON, GAIL V · 1985 to 2011
$74.2M
UCLA Clinical and Translational Science InstituteUL1TR000124 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DUBINETT, STEVEN M. · 2012 to 2015
$57.0M
MALNUTRITION, DIET AND RACIAL DISPARITIES IN CKDK24DK091419 · NIDDK · UNIVERSITY OF CALIFORNIA-IRVINE · PI KALANTAR-ZADEH, KAMYAR · 2011 to 2020
$1.8M
Examining Racial and Cardiovascular Paradoxes in Chronic Kidney DiseaseR01DK078106 · NIDDK · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI KALANTAR-ZADEH, KAMYAR · 2007 to 2011
$1.1M
Anti-Inflammatory and Anti-Oxidative Nutrition in Dialysis PatientsR21DK078012 · NIDDK · LUNDQUIST INSTITUTE FOR BIOMEDICAL INNOVATION AT HARBOR-UCLA MEDICAL CENTER · PI KALANTAR-ZADEH, KAMYAR · 2007 to 2008
$380k
NCATS NIH HHS UL1 TR000124NCRR NIH HHS M01 RR000425NIDDK NIH HHS K24 DK091419NIDDK NIH HHS R01 DK078106NIDDK NIH HHS R21 DK078012
6 · The paper itself

Abstract

backgroundHigher muscle mass is associated with better outcomes and longevity in patients with chronic disease states. Imaging studies such as dual-energy X-ray absorptiometry (DEXA) are among the gold standard methods for assessing body fat and lean body mass (LBM), approximately half of which is comprised of skeletal muscle mass. Elaborate imaging devices, however, are not commonly available in routine clinical practice and therefore easily accessible and cost-effective, but reliable muscle mass biomarkers are needed. One such marker is serum creatinine, derived from muscle-based creatine, which is inexpensive and ubiquitously available, and it can serve as a biomarker of skeletal muscle mass in human subjects. METHODS AND

resultsIn 118 hemodialysis patients, we found that the 3-month averaged serum creatinine concentration correlated well with DEXA-measured LBM. The recent literature regarding serum creatinine as a surrogate of muscle mass is summarized, as is the literature concerning the use of other measures of muscle mass, such as plasma gelsolin and actin, and urinary creatinine excretion. We have also reviewed the role of dietary meat intake in serum creatinine variability along with several biomarkers of dietary meat intake (creatine, carnitine, carnosine, ophidine, anserine, 3-methyl-L-histidine and 1-methylhistidine).

conclusionIn summary, none of these biomarkers was studied in CKD patients. We advance the hypothesis that in both health and disease, under steady state, serum creatinine can serve as a reliable muscle mass biomarker if appropriate adjustment for full or residual kidney function and dietary meat intake is undertaken.

Identifiers

PMID22777757
PMCPMC3581614
OpenAlexW2129261645

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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 OpenQuestion graph.