Evidence map›Paper›PMID 35098697›Full record

ArticleJournal of cachexia, sarcopenia and muscle2022

Prognostic utility of self-reported sarcopenia (SARC-F) in the Multiethnic Cohort.

Anna H Wu, V Wendy Setiawan, Unhee Lim, Chiu-Cheng Tseng, Kami K White, John Shepherd, Heinz Josef Lenz, Iona Cheng, Daniel O Stram, Christopher Haiman and 2 more

Open access · goldAbstract read
In one paragraph

Article in Journal of cachexia, sarcopenia and muscle, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

11 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Racial, Ethnic, and Socioeconomic Differences in a Deficit Accumulation Frailty Index in the Multiethnic Cohort Study.The journals of gerontology. Series A, Biological sciences and medical sciences · 2023
    Article
  8. Accurate SARC-F Score in Patients with Liver Disease.Diagnostics (Basel, Switzerland) · 2023
    Article
  9. Review
  10. Article
  11. 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

12 authors at 3 institutions in 1 country.

Anna H WuDepartment of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.ORCID 0000-0003-0546-902X
V Wendy SetiawanDepartment of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Unhee LimEpidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA.
Chiu-Cheng TsengDepartment of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Kami K WhiteEpidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA.
John ShepherdEpidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA.
Heinz Josef LenzCenter for Genetic Epidemiology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Iona ChengDepartment of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA.
Daniel O StramDepartment of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Christopher HaimanDepartment of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Lynne R WilkensEpidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA.
Loïc Le MarchandEpidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA.
University of Southern California · USUniversity of Hawaiʻi at Mānoa · USUniversity of California, San Francisco · US

Funding

University of Hawaii Cancer Center CCSGP30CA071789 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI GERTRAUD MASKARINEC · 1996 to 2026
$56.2M
Understanding Population Differences in Cancer: The MEC StudyU01CA164973 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI HAIMAN, CHRISTOPHER ALAN, LE MARCHAND, LOIC · 2015 to 2025
$37.4M
Recruitment and Data CollectionP01CA168530 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI LE MARCHAND, LOIC · 2012 to 2016
$19.9M
NCI NIH HHS P01 CA168530NCI NIH HHS P30 CA071789NCI NIH HHS U01 CA164973
6 · The paper itself

Abstract

backgroundAge-related loss in skeletal muscle mass, quality, and strength, known as sarcopenia, is a well-known phenomenon of aging and is determined clinically using methods such as dual-energy X-ray absorptiometry (DXA). However, these clinical methods to measure sarcopenia are not practical for population-based studies, and a five-question screening tool known as SARC-F has been validated to screen for sarcopenia.

methodsWe investigated the relationship between appendicular skeletal lean mass/height

resultsIn women, SARC-F score was significantly inversely associated with ALM/HT

conclusionsAn indicator of sarcopenia, determined using SARC-F, showed internal validity against DXA and displayed racial/ethnic and sex differences in distribution. SARC-F was associated with all-cause mortality as well as cause-specific mortality.

Indexed as

SarcopeniaAbsorptiometry, PhotonAged, 80 and overFemaleHumansMaleMuscle, SkeletalPrognosisSelf ReportAll-cause mortalityAppendicular skeletal lean massMultiethnicSARC-FSarcopenia

Identifiers

PMID35098697
PMCPMC8977971
OpenAlexW4210590694

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.