Evidence map›Paper›PMID 30900400›Full record

ReviewJournal of cachexia, sarcopenia and muscle2019

D

William J Evans, Marc Hellerstein, Eric Orwoll, Steve Cummings, Peggy M Cawthon

Open access · goldAbstract readReview
In one paragraph

Review in Journal of cachexia, sarcopenia and muscle, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 118 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
118citing papers in PubMed, 4 pooled it
11.9field-weighted citation impact, top 1% 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

118 citing papers in PubMed, 4 syntheses or guidelines pooled it, 166 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Trial
  6. Trial
  7. Trial
  8. Trial
  9. Effect of exercise on body composition among women with ovarian cancer.Journal of cancer survivorship : research and practice · 2023
    Trial
  10. Application of the DJournal of cachexia, sarcopenia and muscle · 2023
    Trial
  11. Trial
  12. Trial
  13. [Sarcopenia: diagnosis, clinical implications, and treatment].Innere Medizin (Heidelberg, Germany) · 2026
    Review
  14. Greater DJBMR plus · 2026
    Article
  15. Review
  16. Examining the relationship between D3Cr muscle mass, physical performance, and functional limitation in postmenopausal women.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026
    Article
  17. Article
  18. Article
  19. Article
  20. Novel biomarkers for sarcopenia: a narrative review.Journal of orthopaedic surgery and research · 2026
    Review

58 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

5 authors at 4 institutions in 1 country.

William J EvansDepartment of Nutritional Sciences and Toxicology, University of California, Berkeley, USA.
Marc HellersteinDepartment of Nutritional Sciences and Toxicology, University of California, Berkeley, USA.
Eric OrwollDepartment of Medicine, Oregon Health and Science University, Portland, USA.
Steve CummingsDepartment of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA.
Peggy M CawthonCalifornia Pacific Medical Center, Research Institute, University of San Francisco, USA.
University of California, Berkeley · USCalifornia Pacific Medical Center · USOregon Health & Science University · USUniversity of California, San Francisco · US

Funding

Oregon Clinical and Translational Research Institute - The National COVID Cohort Collaborative (N3C)UL1TR002369 · NCATS · OREGON HEALTH & SCIENCE UNIVERSITY · PI Cynthia D Morris, Christopher G. Slatore · 2017 to 2026
$78.4M
NCATS NIH HHS UL1 TR002369
6 · The paper itself

Abstract

Sarcopenia has been described as the age-associated decrease in skeletal muscle mass. However, virtually every study of sarcopenia has measured lean body mass (LBM) or fat free mass (FFM) rather than muscle mass, specifically. In a number of published sarcopenia studies, LBM or FFM is referred to as muscle mass, leading to an incorrect assumption that measuring LBM or FFM is an accurate measure of muscle mass. As a result, the data on the effects of changes in LBM or FFM in older populations on outcomes such as functional capacity, disability, and risk of injurious falls have been inconsistent resulting in the conclusion that muscle mass is only weakly related to these outcomes. We review and describe the assumptions for the most commonly used measurements of body composition. Dual-energy X-ray absorptiometry (DXA) has become an increasingly common tool for the assessment of LBM or FFM and appendicular lean mass as a surrogate, but inaccurate, measurement of muscle mass. Other previously used methods (total body water, bioelectric impedance, and imaging) also have significant limitations. D

Indexed as

Body CompositionCreatineHumansMuscle, SkeletalSarcopeniaCreatineBody compositionD3-Creatine dilutionDuel X-ray absorptiometrySarcopeniaSkeletal muscle

Identifiers

PMID30900400
PMCPMC6438329
OpenAlexW2924881952

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.