Evidence map›Paper›PMID 41678444›Full record

ArticlePLoS medicine2026

Associations of Creatinine Muscle Index with markers of sarcopenia and mortality in chronic kidney disease: A prospective cohort study.

Thomas McDonnell, Thomas Phillips, Philip A Kalra, Simon D S Fraser, Rosamonde E Banks, Nicolas Vuilleumier, Maarten W Taal, NURTuRE-CKD academic steering group

Abstract readMulticenter Study
In one paragraph

Article in PLoS medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

8 authors.

Thomas McDonnellDonal O'Donoghue Renal Research Centre, Salford Royal Hospital, Northern Care Alliance NHS Foundation Trust, Salford, United Kingdom.ORCID https://orcid.org/0000-0002-2898-4457
Thomas PhillipsSchool of Primary Care, Population Sciences and Medical Education, Faculty of Medicine, University of Southampton, Southampton, United Kingdom.ORCID https://orcid.org/0000-0001-6059-745X
Philip A KalraDonal O'Donoghue Renal Research Centre, Salford Royal Hospital, Northern Care Alliance NHS Foundation Trust, Salford, United Kingdom.
Simon D S FraserSchool of Primary Care, Population Sciences and Medical Education, Faculty of Medicine, University of Southampton, Southampton, United Kingdom.ORCID https://orcid.org/0000-0002-4172-4406
Rosamonde E BanksLeeds Institute of Medical Research, St James's University Hospital, School of Medicine, Leeds, United Kingdom.ORCID https://orcid.org/0000-0002-0042-8715
Nicolas VuilleumierDivision of Laboratory Medicine, Diagnostic Department, Geneva University Hospitals and Faculty of Medicine, Geneva, Switzerland.
Maarten W TaalDepartment of Renal Medicine, University Hospitals of Derby and Burton NHS Foundation Trust, Derby, United Kingdom.ORCID https://orcid.org/0000-0002-9065-212X
NURTuRE-CKD academic steering group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSarcopenia is common in chronic kidney disease (CKD) and linked to higher mortality, but identifying those at risk remains challenging. Indices combining serum creatinine and cystatin C (eGFRratio and eGFRdifference) have been studied, but have tended to perform worse in those with CKD. This study aimed to examine the relationship of Creatinine Muscle Index (CMI), an estimate of glomerular filtration of creatinine, with sarcopenia and mortality in a non-dialysis CKD population. METHODS AND

findingsNURTuRE-CKD is a prospective, multicentre cohort study of people with non-dialysis CKD in the UK. Two thousand nine hundred ninety-six individuals were enrolled between July 2017 and September 2019. Cystatin C measurements were available in 2,930 adults. CMI (mg/day) was calculated as eGFR cystatin C × serum creatinine concentration. The relationships between CMI and: (1) probable sarcopenia (defined as the best hand grip strength of <27 kg for males and <16 kg for females); (2) individual muscle function measures including hand grip strength (kg) and timed get-up-and-go (TUG) (seconds); (3) all-cause mortality were assessed using Spearman's correlation, logistic regression, and Cox proportional hazards models, stratified by sex and adjusted for age, ethnicity, body mass index, smoking status, Charlson Comorbidity Index, urine albumin-to-creatinine ratio, and C-reactive protein. TUG test is the time taken to stand from a chair, walk 3 m, turn, return, and sit down. Among 1,723 males and 1,207 females, the median (IQR) age was 66 (53-74) years, and the median eGFRcreatinine was 34 (24-47) ml/min/1.73m2. A total of 806 participants (27.5%) had probable sarcopenia, and over a median follow-up period of 50 (41 to 56) months, 527 (18%) died. The adjusted OR for probable sarcopenia per 100 mg/day increase in CMI was OR 0.72 (95% CI 0.67, 0.78 p value <0.001) in males and OR 0.81 (95% CI 0.73, 0.89 p value < 0.001) in females. CMI correlated positively with grip strength (ρ = 0.47 [0.43, 0.50] and 0.45 [0.40, 0.49]) and negatively with TUG (ρ = -0.37 [-0.41, -0.32] and -0.44 [-0.49, -0.40]) in males and females, respectively. In adjusted models, the HR for mortality per 100 mg/day increase in CMI was HR 0.85 (95% CI 0.78, 0.90 p value < 0.001) in males and HR 0.77 (95% CI 0.67, 0.87 p value < 0.001) in females. In males and females, respectively, the C-index of CMI for probable sarcopenia (0.73 and 0.71) and mortality (0.70 and 0.76) was higher than that of the eGFR ratio (probable sarcopenia: 0.64 and 0.61; mortality: 0.60 and 0.65; all p < 0.001) and the eGFR difference (probable sarcopenia: 0.59 and 0.57; mortality: 0.56 and 0.59; all p < 0.001) Limitations include the observational design, the assessment of muscle function without direct measurement of muscle mass, and limited generalisability to CKD populations not followed in secondary care.

conclusionsIn persons with CKD, CMI-a biomarker reflecting creatinine generation-was independently associated with muscle function and mortality, supporting its utility in populations with reduced kidney function.

Indexed as

CreatinineMuscle, SkeletalRenal Insufficiency, ChronicSarcopeniaAgedBiomarkersCystatin CFemaleGlomerular Filtration RateHand StrengthHumansMaleMiddle AgedProspective StudiesRisk FactorsUnited KingdomBiomarkersCreatinineCystatin C

Identifiers

PMID41678444
PMCPMC12900331

What OpenQuestion 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 OpenQuestion graph.