Cited by 286Nutrition and Health in AgingBody Composition Measurement TechniquesMuscle Physiology and Disorders

Implications of low muscle mass across the continuum of care: a narrative review

Open access
Prado, Carla M., Purcell, Sarah A., Alish, Carolyn, Pereira, Suzette L., Deutz, Nicolaas E., Heyland, Daren K., Goodpaster, Bret H., Tappenden, Kelly A. +1 more·2018·Annals of Medicine

Abstract

Abnormalities in body composition can occur at any body weight. Low muscle mass is a predictor of poor morbidity and mortality and occurs in several populations. This narrative review provides an overview of the importance of low muscle mass on health outcomes for patients in inpatient, outpatient and long-term care clinical settings. A one-year glimpse at publications that showcases the rapidly growing research of body composition in clinical settings is included. Low muscle mass is associated with outcomes such as higher surgical and post-operative complications, longer length of hospital stay, lower physical function, poorer quality of life and shorter survival. As such, the potential clinical benefits of preventing and reversing this condition are likely to impact patient outcomes and resource utilization/health care costs. Clinically viable tools to measure body composition are needed for routine screening and intervention. Future research studies should elucidate the effectiveness of multimodal interventions to counteract low muscle mass for optimal patient outcomes across the healthcare continuum. Key messages Low muscle mass is associated with several negative outcomes across the healthcare continuum. Techniques to identify and counteract low muscle mass in clinical settings are needed.

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 · 10.1080/07853890.2018.1511918

Cites

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?

  • Decreased and/or low muscle and bone mass negatively impact health, including physical impairment or disability, falls and fractures, surgical complications, reduced quality of life, and decreased survival.

    “Decreased and/or low muscle and bone mass negatively impact health, including physical impairment or disability, falls and fractures, surgical complications, reduced quality of life, and decreased survival [159, 160].”

    From Nutritional priorities to support <scp>GLP</scp> ‐1 therapy for obesity: A joint Advisory from the American College of Lifestyle Medicine, the American Society for Nutrition, the Obesity Medicine Association, and The Obesity Society (2025) · cites this paper as [160]

    The Primary Care and Population section links low muscle mass to falls, fractures, poorer physical function and shorter survival. The Surgery section links it to postoperative complications and lower quality of life. The review associates sarcopenia with lower bone mineral density, but does not establish that low bone mass itself accounts for the listed outcomes; it generally reports associations rather than causal impacts. Page numbers were not available in our copy. (LLM, conf=0.88)

    Experimental — accuracy not yet measured
  • Losses of skeletal muscle mass and function can lead to reduced functional and metabolic health, weight cycling, compromised quality of life, and other adverse outcomes.

    “such losses can lead to reduced functional and metabolic health, weight cycling, compromised quality of life, and other adverse outcomes.”

    From Strategies for minimizing muscle loss during use of incretin‐mimetic drugs for treatment of obesity (2025) · cites this paper as [3]

    The Primary Care and Population section (page unavailable) links higher muscle mass with better physical function, quality of life, and fewer cardiovascular risk factors; the Surgery section also reports associations between low muscle mass and poorer function, quality of life, and other adverse outcomes. The paper does not establish that muscle loss causes these outcomes, and the searched passages do not support weight cycling as an outcome or the broader claim of reduced metabolic health. (LLM, conf=0.84)

    Experimental — accuracy not yet measured
  • Loss of skeletal muscle mass and function can accompany rapid substantial weight reduction.

    “Of emerging concern is the loss of skeletal muscle mass and function that can accompany rapid substantial weight reduction”

    From Strategies for minimizing muscle loss during use of incretin‐mimetic drugs for treatment of obesity (2025) · cites this paper as [3]

    The Inpatient Settings > COPD section says that fat-free mass accounts for a large portion of weight loss in people with COPD and associates low fat-free mass with poor physical performance. It does not establish that rapid, substantial weight reduction is accompanied by loss of skeletal muscle mass and function generally; the speed and extent of weight reduction are unsupported. (LLM, conf=0.78)

    Experimental — accuracy not yet measured
  • Low muscle mass is often unrecognized and is independently associated with increased risk of mortality and morbidity, reduced quality of life, increased risk of type 2 diabetes, and other adverse health outcomes.

    “Low muscle mass is often unrecognized and is independently associated with increased risk of mortality and morbidity, reduced quality of life, increased risk of T2D, and other adverse health outcomes.”

    From Strategies for minimizing muscle loss during use of incretin‐mimetic drugs for treatment of obesity (2025) · cites this paper as [3]

    The Introduction (page not provided) calls low muscle mass a predictor of morbidity and mortality, while Outpatient Settings > Primary Care and Population links it to poorer quality of life and other adverse outcomes. Low Muscle Mass: A New Face of an Old Problem explains how reliance on BMI can obscure it. The reviewed passages do not establish an independent association with increased risk of developing type 2 diabetes; the type 2 diabetes reference concerns outcomes in people who already have it. (LLM, conf=0.86)

    Experimental — accuracy not yet measured
  • Loss of muscle mass accompanying restricted caloric intake can be detrimental.

    “and that such loss can be detrimental.”

Self-check

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

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

The citation lists haven’t been fetched yet

References 221 · Cited by 286

Research works printed but not linked: 2

  1. [109]Prado CMM, Mourtzakis M, Baracos V, Reiman T, Sawyer MB, McCargar LJ. Overweight and obese patients with solid tumors may have sarcopenia, poor prognosis and early features of cachexia. Int J Body Compos Res. 2010; 8(1): 7– 15.
  2. [198]Du K, Goates S, Arensberg MB, Pereira S, Gaillard T, Hegazi R. Impact of sarcopenia on falls and hospitalization in community dwelling adults. International Conference on Frailty and Sarcopenia Research 2017.

Authors
Prado, C. M., Purcell, S. A., Alish, C., Pereira, S. L., Deutz, N. E., Heyland, D. K., Goodpaster, B. H., Tappenden, K. A., & Heymsfield, S. B.
Affiliations
  • University of Alberta (CA)
  • Abbott Nutrition (United States) (US)
  • Texas A&M University (US)
  • Kingston General Hospital (CA)
  • Sanford Burnham Prebys Medical Discovery Institute (US)
  • University of Illinois Urbana-Champaign (US)
  • Pennington Biomedical Research Center (US)
Corresponding author
Prado, Carla M.
Venue
Annals of Medicine
Published
2018-09-12
Volume
50
Issue
8
Pages
675-693
ISSN
  • 0785-3890 (ISSN-L)
  • 1365-2060
OpenAlex
W2889388367
Cited by
286
References
221
Citations by year
2026: 48 · 2025: 43 · 2024: 28 · 2023: 34 · 2022: 42 · 2021: 33 · 2020: 33 · 2019: 20 · 2018: 2 · 2016: 1
FWCI
2.89
Type
journal article
Language
en
Open access
Locations
  • Annals of Medicine (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • National Institute of Environmental Health Sciences (12)
  • National Heart, Lung, and Blood Institute (87)
  • Canadian Institutes of Health Research
  • Campus Alberta Innovates
Topics
  • Health Sciences › Medicine › Physiology › Nutrition and Health in Aging
  • Health Sciences › Medicine › Physiology › Body Composition Measurement Techniques
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Muscle Physiology and Disorders
Keywords
low muscle mass, sarcopenia, body composition, inpatient care, outpatient care, long-term care, surgical complications, postoperative complications, length of hospital stay, physical function, quality of life, survival, multimodal intervention, health care costs
MeSH terms
Body Composition, Body Weight, Continuity of Patient Care, Humans, Length of Stay, Muscular Atrophy, Quality of Life, Muscle, Skeletal, Wasting Syndrome

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