Evidence map›Paper›PMID 32633834›Full record

ArticleJournal of the American Geriatrics Society2020

Identification of Sarcopenia Components That Discriminate Slow Walking Speed: A Pooled Data Analysis.

Todd M Manini, Sheena M Patel, Anne B Newman, Thomas G Travison, Douglas P Kiel, Michelle D Shardell, Karol M Pencina, Kevin E Wilson, Thomas L Kelly, Joseph M Massaro and 13 more

Abstract read
In one paragraph

Article in Journal of the American Geriatrics Society, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

  1. Trial
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  10. Review
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  14. Article
  15. Grip strength cut-points from the Swiss DO-HEALTH population.European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity · 2023
    Article
  16. Optimizing the Design of Clinical Trials to Evaluate the Efficacy of Function-Promoting Therapies.The journals of gerontology. Series A, Biological sciences and medical sciences · 2023
    Article
  17. Article
  18. Article
  19. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

23 authors.

Todd M ManiniDepartment of Aging and Geriatric Research, University of Florida, Gainesville, Florida, USA.
Sheena M PatelCalifornia Pacific Medical Research Institute, San Francisco, California, USA.
Anne B NewmanDepartment of Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Thomas G TravisonDepartment of Medicine, Harvard Medical School and Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, Massachusetts, USA.
Douglas P KielDepartment of Medicine, Harvard Medical School and Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, Massachusetts, USA.
Michelle D ShardellInstitute for Genomes Sciences, University of Maryland School of Medicine, Baltimore, Maryland, USA.
Karol M PencinaDepartment of Medicine, Harvard Medical School and Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, Massachusetts, USA.
Kevin E WilsonHologic, Inc, Marlborough, Massachusetts, USA.
Thomas L KellyHologic, Inc, Marlborough, Massachusetts, USA.
Joseph M MassaroDepartment of Biostatistics, Boston University, Boston, Massachusetts, USA.
Roger A FieldingTufts University, Boston, Massachusetts, USA.
Jay MagazinerDepartment of Epidemiology, University of Maryland Baltimore, Baltimore, Maryland, USA.
Rosaly Correa-de-AraujoDivision of Geriatrics and Clinical Gerontology, US Department of Health and Human Services, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, USA.
Timothy C Y KwokThe Chinese University, Hong Kong Special Administrative Region, China.
Vasant HiraniUniversity of Sydney, Sydney, New South Wales, Australia.
Magnus K KarlssonLund University, Skane University Hospital, Malmo, Sweden.
Ralph B DʼAgostinoBoston University, Boston, Massachusetts, USA.
Dan MellströmUniversity of Gothenburg, Gothenburg, Sweden.
Claes OhlssonUniversity of Gothenburg, Gothenburg, Sweden.
Eva RibomUppsala University, Uppsala, Sweden.
Joanne M JordanUniversity of North Carolina School of Medicine, Chapel Hill, North Carolina, USA.
Shalender BhasinDepartment of Medicine, Harvard Medical School and Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, Massachusetts, USA.
Peggy M CawthonCalifornia Pacific Medical Research Institute, San Francisco, California, USA.ORCID 0000-0003-4938-9478

Funding

University of Maryland Claude D. Pepper Older Americans Independence Center (UM-OAIC)P30AG028747 · NIA · UNIVERSITY OF MARYLAND BALTIMORE · PI ALICE S. RYAN · 2006 to 2026
$28.9M
Oregon Clinical and Translational Research InstituteUL1TR000128 · NCATS · OREGON HEALTH & SCIENCE UNIVERSITY · PI ELLISON, DAVID H · 2012 to 2015
$28.7M
VARIABILITY, STABILITY & SMOOTHNESS OF WALKINGP30AG024827 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI JENNIFER S BRACH · 2004 to 2026
$28.6M
TUFTS--FIELDINGP30AG031679 · NIA · BRIGHAM AND WOMEN'S HOSPITAL · PI LEWIS LIPSITZ · 2008 to 2026
$23.9M
Study of Osteoporotic FracturesR01AG005407 · NIA · UNIVERSITY OF CALIFORNIA SAN FRANCISCO · PI CUMMINGS, STEVEN RON, YAFFE, KRISTINE · 1986 to 2016
$23.2M
RISK FACTORS FOR VERTEBRAL FRACTURE AND BONE LOSSR01AR041398 · NIAMS · RHODE ISLAND HOSPITAL (PROVIDENCE, RI) · PI KIEL, DOUGLAS P. · 1991 to 2025
$16.1M
Exceptional Survival: Trajectories to Functional Aging (CHS All Stars)R01AG023629 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI NEWMAN, ANNE B. · 2004 to 2016
$9.5M
Osteoporotic Fractures in Men (MrOS) - San Francisco Coordinating CenterU01AR066160 · NIAMS · CALIFORNIA PACIFIC MED CTR RES INSTITUTE · PI CUMMINGS, STEVEN RON · 2013 to 2017
$9.3M
CHS research resources for the cardiovascular health of older adultsU01HL130114 · NHLBI · UNIVERSITY OF WASHINGTON · PI BURKE, GREGORY L, KRONMAL, RICHARD A · 2016 to 2019
$6.6M
Study of Osteoporotic FracturesR01AG005394 · NIA · UNIVERSITY OF MINNESOTA TWIN CITIES · PI ENSRUD, KRISTINE · 1986 to 2015
$6.1M
Project 3P60AR049465 · NIAMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI JORDAN, JOANNE M. · 2003 to 2008
$6.0M
Integrative Resource to Develop Translational Strategies to Promote LongevityU24AG051129 · NIA · CALIFORNIA PACIFIC MED CTR RES INSTITUTE · PI CUMMINGS, STEVEN RON, EVANS, DANIEL SPENCER · 2015 to 2019
$5.3M
NCATS NIH HHS UL1 TR000128NHLBI NIH HHS HHSN268200800007CNHLBI NIH HHS HHSN268201200036CNHLBI NIH HHS HHSN268201800001CNHLBI NIH HHS N01 HC025195NHLBI NIH HHS N01 HC055222NHLBI NIH HHS N01 HC085079NHLBI NIH HHS N01 HC085080NHLBI NIH HHS N01 HC085081NHLBI NIH HHS N01 HC085082NHLBI NIH HHS N01 HC085083NHLBI NIH HHS N01 HC085086NHLBI NIH HHS U01 HL080295NHLBI NIH HHS U01 HL130114NIAMS NIH HHS P60 AR030701NIAMS NIH HHS P60 AR049465NIAMS NIH HHS R01 AR035582NIAMS NIH HHS R01 AR035583NIAMS NIH HHS R01 AR035584NIAMS NIH HHS R01 AR041398NIAMS NIH HHS R01 AR049439NIAMS NIH HHS R01 AR057118NIAMS NIH HHS U01 AR066160NIA NIH HHS N01 AG062101NIA NIH HHS N01 AG062103NIA NIH HHS N01 AG062106NIA NIH HHS P30 AG024827NIA NIH HHS P30 AG028747NIA NIH HHS P30 AG031679NIA NIH HHS R01 AG005394NIA NIH HHS R01 AG005407NIA NIH HHS R01 AG023629NIA NIH HHS R01 AG027574NIA NIH HHS R01 AG027576NIA NIH HHS R56 AG061085NIA NIH HHS U01 AG027810NIA NIH HHS U01 AG042124NIA NIH HHS U01 AG042139NIA NIH HHS U01 AG042140NIA NIH HHS U01 AG042143NIA NIH HHS U01 AG042145NIA NIH HHS U01 AG042168NIA NIH HHS U01 AG051421NIA NIH HHS U24 AG051129
6 · The paper itself

Abstract

backgroundThe Sarcopenia Definitions and Outcomes Consortium (SDOC) sought to identify cut points for muscle strength and body composition measures derived from dual-energy x-ray absorptiometry (DXA) that discriminate older adults with slow walking speed. This article presents the core analyses used to guide the SDOC position statements.

designCross-sectional data analyses of pooled data.

settingUniversity-based research assessment centers.

participantsCommunity-dwelling men (n = 13,652) and women: (n = 5,115) with information on lean mass by DXA, grip strength (GR), and walking speed. MEASUREMENTS: Thirty-five candidate sarcopenia variables were entered into sex-stratified classification and regression tree (CART) models to agnostically choose variables and cut points that discriminate slow walkers (<0.80 m/s). Models with alternative walking speed outcomes were also evaluated (<0.60 and <1.0 m/s and walking speed treated continuously).

resultsCART models identified GR/body mass index (GRBMI) and GR/total body fat (GRTBF) as the primary discriminating variables for slowness in men and women, respectively. Men with GRBMI of 1.05 kg/kg/m

conclusionGR with and without adjustments for body size and composition consistently discriminated older adults with slowness. CART models did not select DXA-based lean mass as a primary discriminator of slowness. These results were presented to an SDOC Consensus Panel, who used them and other information to develop the SDOC Position Statements. J Am Geriatr Soc 68:1419-1428, 2020.

Indexed as

ConsensusAbsorptiometry, PhotonAgedBody Mass IndexCross-Sectional StudiesFemaleHand StrengthHumansLongitudinal StudiesMaleModels, StatisticalMuscle StrengthSarcopeniaWalking Speeddisabilitydynapeniaweakness

Identifiers

PMID32633834
PMCPMC8018524

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Registered trials

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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.