Evidence map›Paper›PMID 26655919›Full record

Observational studyAnnals of surgery2016

Can Sarcopenia Quantified by Ultrasound of the Rectus Femoris Muscle Predict Adverse Outcome of Surgical Intensive Care Unit Patients as well as Frailty? A Prospective, Observational Cohort Study.

Noomi Mueller, Sushila Murthy, Christopher R Tainter, Jarone Lee, Kathleen Riddell, Florian J Fintelmann, Stephanie D Grabitz, Fanny P Timm, Benjamin Levi, Tobias Kurth and 1 more

5 registry-linked trialsOpen access · greenAbstract readObservational Study
In one paragraph

Observational study in Annals of surgery, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 5 registered trials, which are not on this map. Cited by 94 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
94citing papers in PubMed, 4 pooled it
7.0field-weighted citation impact, top 3% 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.

NCT02270502 completednot on this map

Ultrasound Assessment of Muscle to Quantify Frailty.

TypeobservationalSponsorMassachusetts General HospitalRan2014 to 2015Enrolled111ConditionsCritical Illness, Sarcopenia, Muscle WastingArmsUltrasound Philips CX50, Frailty Index Questionnaire, Muscle strength tests
NCT03196960 unknown statusnot on this mapstarted 2017, after this paper: background citation

Effects of Mobility Dose in Surgical Intensive Care Unit Patients on Adverse Discharge Disposition

TypeobservationalSponsorMassachusetts General HospitalRan2017 to 2018Enrolled150ConditionsSarcopenia, Muscle Weakness, Critical Illness
NCT03347656 completednot on this mapstarted 2017, after this paper: background citation

Effects of Mobility Dose on Discharge Disposition in Critically Ill Stroke Patients

TypeobservationalSponsorBeth Israel Deaconess Medical CenterRan2017 to 2021Enrolled164ConditionsSarcopenia, Stroke, Acute, Muscle Weakness, Critical Illness
NCT04717869 recruitingnot on this mapstarted 2023, after this paper: background citation

Identifying Modifiable PAtient Centered Therapeutics Frailty: An Observational Cohort Study

TypeobservationalSponsorUniversity of California, Los AngelesRan2023 to 2026Enrolled250ConditionsFrailty, SarcopeniaArmsUltrasound, Biomarker Analysis, Frailty Index
NCT05638035 unknown statusnot on this mapstarted 2022, after this paper: background citation

Effects of Obesity on Rectus Femoris Muscle Thickness, Sarcopenia, Gait and Balance in Women

TypeobservationalSponsorKutahya Health Sciences UniversityRan2022 to 2023Enrolled1ConditionsSarcopenic Obesity, Sarcopenia, ObesityArmsUltrasonografi, Sarcopenia measurement, Zebris
3 · Its place in the literature

Who cites it

94 citing papers in PubMed, 4 syntheses or guidelines pooled it, 201 citations in OpenAlex.

  1. Pooled it
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  13. Frailty: An overlooked red flag in sports surgery.Journal of experimental orthopaedics · 2025
    Article
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  18. Impact of the Clinical Frailty Score on Outcomes of Critically Ill Patients in a Tertiary Care ICU.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2025
    Article
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34 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

11 authors at 1 institution in 3 countries.

Noomi Mueller*Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA†Departments of Emergency Medicine and Anesthesiology, Division of Critical Care, University of California, San Diego, CA‡Departments of Surgery and Emergency Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA§Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA¶Department of Surgery, University of Michigan Medical School, Ann Arbor, MI||Inserm Research Center for Epidemiology and Biostatistics (U897)-Team Neuroepidemiology, University of Bordeaux, College of Health Sciences, Bordeaux, France**University of Bordeaux, College of Health Sciences, Bordeaux, France††Department of Anesthesia and Critical Care Medicine, University Duisburg-Essen, Essen, Germany.
Sushila Murthy
Christopher R Tainter
Jarone Lee
Kathleen Riddell
Florian J Fintelmann
Stephanie D Grabitz
Fanny P Timm
Benjamin Levi
Tobias Kurth
Matthias Eikermann
Apple (Israel) · IL

Funding

Novel Pathway and Prevention Strategy for Heterotopic OssificationK08GM109105 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LEVI, BENJAMIN · 2014 to 2017
$785k
NIGMS NIH HHS K08 GM109105
6 · The paper itself

Abstract

objectiveTo compare sarcopenia and frailty for outcome prediction in surgical intensive care unit (SICU) patients.

backgroundFrailty has been associated with adverse outcomes and describes a status of muscle weakness and decreased physiological reserve leading to increased vulnerability to stressors. However, frailty assessment depends on patient cooperation. Sarcopenia can be quantified by ultrasound and the predictive value of sarcopenia at SICU admission for adverse outcome has not been defined.

methodsWe conducted a prospective, observational study of SICU patients. Sarcopenia was diagnosed by ultrasound measurement of rectus femoris cross-sectional area. Frailty was diagnosed by the Frailty Index Questionnaire based on 50 variables. Relationship between variables and outcomes was assessed by multivariable regression analysis NCT02270502.

resultsSarcopenia and frailty were quantified in 102 patients and observed in 43.1% and 38.2%, respectively. Sarcopenia predicted adverse discharge disposition (discharge to nursing facility or in-hospital mortality, odds ratio 7.49; 95% confidence interval 1.47-38.24; P = 0.015) independent of important clinical covariates, as did frailty (odds ratio 8.01; 95% confidence interval 1.82-35.27; P = 0.006); predictive ability did not differ between sarcopenia and frailty prediction model, reflected by χ values of 21.74 versus 23.44, respectively, and a net reclassification improvement (NRI) of -0.02 (P = 0.87). Sarcopenia and frailty predicted hospital length of stay and the frailty model had a moderately better predictive accuracy for this outcome.

conclusionsBedside diagnosis of sarcopenia by ultrasound predicts adverse discharge disposition in SICU patients equally well as frailty. Sarcopenia assessed by ultrasound may be utilized as rapid beside modality for risk stratification of critically ill patients.

Indexed as

Critical IllnessFrail ElderlyIntensive Care UnitsAdultAgedAged, 80 and overFemaleGeriatric AssessmentHospital MortalityHumansMaleMiddle AgedNursing HomesProspective StudiesQuadriceps MuscleRisk Assessment

Identifiers

PMID26655919
PMCPMC4907876
OpenAlexW2316676403

What OpenQuestion holds

Textmetadata
LicenceTDM
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.