Evidence map›Paper›PMID 32381425›Full record

ArticleJournal of the American Medical Directors Association2020

Walking Speed and Muscle Mass Estimated by the D

Jesse Zanker, Sheena Patel, Terri Blackwell, Kate Duchowny, Sharon Brennan-Olsen, Steven R Cummings, William J Evans, Eric S Orwoll, David Scott, Sara Vogrin and 4 more

Open access · greenAbstract read
In one paragraph

Article in Journal of the American Medical Directors Association, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
3.5field-weighted citation impact, top 6% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Trial
  5. Review
  6. Article
  7. Article
  8. A simplified definition of sarcopenia: muscle mass/body weight.The journal of nutrition, health & aging · 2024
    Article
  9. Estimating Muscle Mass Using D3-Creatine Dilution: A Narrative Review of Clinical Implications and Comparison With Other Methods.The journals of gerontology. Series A, Biological sciences and medical sciences · 2024
    Review
  10. DCalcified tissue international · 2024
    Review
  11. Article
  12. Review
  13. DJournal of cachexia, sarcopenia and muscle · 2022
    Review
  14. Article
  15. Article
  16. Article
  17. Review
  18. Review
  19. Review
  20. Biomarkers of Physical Frailty and Sarcopenia: Coming up to the Place?International journal of molecular sciences · 2020
    Review
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

14 authors at 6 institutions in 2 countries.

Jesse ZankerDepartment of Medicine-Western Health, University of Melbourne, Melbourne, VIC, Australia; Australian Institute for Musculoskeletal Science (AIMSS), University of Melbourne and Western Health, Melbourne, VIC, Australia.
Sheena PatelResearch Institute, California Pacific Medical Center, San Francisco, CA, USA.
Terri BlackwellResearch Institute, California Pacific Medical Center, San Francisco, CA, USA.
Kate DuchownyResearch Institute, California Pacific Medical Center, San Francisco, CA, USA; Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA.
Sharon Brennan-OlsenDepartment of Medicine-Western Health, University of Melbourne, Melbourne, VIC, Australia; Australian Institute for Musculoskeletal Science (AIMSS), University of Melbourne and Western Health, Melbourne, VIC, Australia.
Steven R CummingsResearch Institute, California Pacific Medical Center, San Francisco, CA, USA; Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA.
William J EvansDepartment of Nutritional Sciences and Toxicology, University of California, Berkeley, CA, USA; Department of Medicine, Duke University, Durham, NC, USA.
Eric S OrwollDepartment of Medicine, Oregon Health and Science University, Portland, OR, USA.
David ScottDepartment of Medicine-Western Health, University of Melbourne, Melbourne, VIC, Australia; Australian Institute for Musculoskeletal Science (AIMSS), University of Melbourne and Western Health, Melbourne, VIC, Australia; Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia.
Sara VogrinDepartment of Medicine-Western Health, University of Melbourne, Melbourne, VIC, Australia; Australian Institute for Musculoskeletal Science (AIMSS), University of Melbourne and Western Health, Melbourne, VIC, Australia.
Jane A CauleyDepartment of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA.
Gustavo DuqueDepartment of Medicine-Western Health, University of Melbourne, Melbourne, VIC, Australia; Australian Institute for Musculoskeletal Science (AIMSS), University of Melbourne and Western Health, Melbourne, VIC, Australia.
Peggy M CawthonResearch Institute, California Pacific Medical Center, San Francisco, CA, USA; Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA. Electronic address: pcawthon@sfcc-cpmc.net.
Osteoporotic Fractures in Men (MrOS) Study Group
The University of Melbourne · AUUniversity of California, San Francisco · USCalifornia Pacific Medical Center · USDuke University · USOregon Health & Science University · USUniversity of Pittsburgh · 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
Oregon Clinical and Translational Research InstituteUL1TR000128 · NCATS · OREGON HEALTH & SCIENCE UNIVERSITY · PI ELLISON, DAVID H · 2012 to 2015
$28.7M
Long term fracture risk and change in peripheral bone in the oldest old men: The MrOS studyR01AG066671 · NIA · CALIFORNIA PACIFIC MED CTR RES INSTITUTE · PI BOUXSEIN, MARY L, CAWTHON, PEGGY MANNEN · 2020 to 2024
$13.3M
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
Osteoporotic Fractures in Men (MrOS) - MinneapolisU01AG042145 · NIA · UNIVERSITY OF MINNESOTA · PI ENSRUD, KRISTINE · 2013 to 2019
$5.3M
Osteporotic Fractures in Men (MrOS)- Admin CenterU01AG027810 · NIA · OREGON HEALTH & SCIENCE UNIVERSITY · PI ORWOLL, ERIC S. · 2006 to 2017
$5.1M
Osteoporotic Fractures in Men (MrOS) - PortlandU01AG042124 · NIA · OREGON HEALTH & SCIENCE UNIVERSITY · PI ORWOLL, ERIC S. · 2013 to 2019
$3.0M
Osteoporatic Fractures in Men (MrOS)U01AG042168 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KADO, DEBORAH · 2013 to 2017
$3.0M
Osteoporotic Fractures in Men (Mr. Os) Palo AltoU01AG042143 · NIA · STANFORD UNIVERSITY · PI STEFANICK, MARCIA L. · 2013 to 2017
$3.0M
Osteoporotic Fractures in Men (Mr.OS)U01AG042139 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI CAULEY, JANE ANN · 2013 to 2017
$2.9M
Osteoporotic Fractures in Men_MrOS Renewal_BirminghamU01AG042140 · NIA · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI SHIKANY, JAMES M · 2013 to 2019
$2.7M
Long-term fracture risk in older men: the MrOS studyR56AG061085 · NIA · CALIFORNIA PACIFIC MED CTR RES INSTITUTE · PI BOUXSEIN, MARY L, CAWTHON, PEGGY MANNEN · 2019 to 2019
$1.3M
NCATS NIH HHS UL1 TR000128NCATS NIH HHS UL1 TR002369NIAMS NIH HHS R01 AR065268NIAMS NIH HHS U01 AR066160NIA NIH HHS R01 AG066671NIA 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 AG042168
6 · The paper itself

Abstract

objectivesIt is unknown whether muscle mass measured by the D

designLongitudinal cohort study of participants in the Osteoporotic Fractures in Men (MrOS) study. SETTING AND

participantsMuscle mass was assessed by D

methodsClassification and regression tree analysis was conducted to determine relative variable importance and algorithm cutpoints for predicting incident mobility disability. Given the proximity of walking speed with the primary outcome (mobility disability), analyses were conducted with and without walking speed.

resultsWalking speed followed by D CONCLUSIONS AND IMPLICATIONS: This study has provided valuable insights into the importance of different variables in predicting incident mobility disability in older men. Muscle mass by D

Indexed as

CreatineSarcopeniaAgedHand StrengthHumansLongitudinal StudiesMaleMusclesMuscle StrengthWalking SpeedCreatineagingmobilitymuscle massSarcopeniawalking speed

Identifiers

PMID32381425
PMCPMC8057698
OpenAlexW3020917917

What OpenQuestion holds

Textmetadata
LicenceTDM
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.