Evidence map›Paper›PMID 32370738›Full record

ArticleBMC geriatrics2020

Individual and joint trajectories of change in bone, lean mass and physical performance in older men.

Peggy M Cawthon, Neeta Parimi, Lisa Langsetmo, Jane A Cauley, Kristine E Ensrud, Steven R Cummings, Nancy E Lane, Andrew R Hoffman, Jodi Lapidus, Thomas M Gill and 5 more

Open access · goldAbstract read
In one paragraph

Article in BMC geriatrics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 33% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

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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

15 authors at 9 institutions in 1 country.

Peggy M CawthonCalifornia Pacific Medical Center, Research Institute, San Francisco, CA, USA. pcawthon@sfcc-cpmc.net.
Neeta ParimiCalifornia Pacific Medical Center, Research Institute, San Francisco, CA, USA.
Lisa LangsetmoDivision of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN, USA.
Jane A CauleyDepartment of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, USA.
Kristine E EnsrudDivision of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN, USA.
Steven R CummingsCalifornia Pacific Medical Center, Research Institute, San Francisco, CA, USA.
Nancy E LaneUniversity of California, Davis, CA, USA.
Andrew R HoffmanStanford University, Stanford, CA, USA.
Jodi LapidusOregon Health and Science University, Portland, OR, USA.
Thomas M GillYale School of Medicine, New Haven, CT, USA.
Charles E McCullochDepartment of Epidemiology and Biostatistics, University of California, San Francisco Coordinating Center, 550 16th Street, 2nd floor, Box #0560, San Francisco, CA, 94143, USA.
Marcia L StefanickStanford University, Stanford, CA, USA.
Deborah M KadoUniversity of California, San Diego, CA, USA.
Rebecca DrielingStanford University, Stanford, CA, USA.
Eric S OrwollOregon Health and Science University, Portland, OR, USA.
Stanford University · USCalifornia Pacific Medical Center · USOregon Health & Science University · USUniversity of California, San Francisco · USUniversity of Minnesota · USUniversity of California, Davis · USUniversity of California, San Diego · USUniversity of Pittsburgh · USYale University · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
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
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 TR001863NCATS NIH HHS UL1 TR002369NIAMS NIH HHS U01 AR066160NIA 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

backgroundDeclines in bone, muscle and physical performance are associated with adverse health outcomes in older adults. However, few studies have described concurrent age-related patterns of change in these factors. The purpose of this study was to characterize change in four properties of muscle, physical performance, and bone in a prospective cohort study of older men.

methodsUsing repeated longitudinal data from up to four visits across 6.9 years from up to 4681 men (mean age at baseline 72.7 yrs. ±5.3) participating in the Osteoporotic Fractures in Men (MrOS) Study, we used group-based trajectory models (PROC TRAJ in SAS) to identify age-related patterns of change in four properties of muscle, physical performance, and bone: total hip bone mineral (BMD) density (g/m

resultsThe patterns of change identified were generally similar for all measures, with three district groups declining over time at roughly similar rates; joint trajectories revealed similar patterns with no cross-over or convergence between groups. Mean posterior probabilities for all trajectories were similar and consistently above 0.8 indicating reasonable model fit to the data.

conclusionsOur description of trajectories of change with age in bone mineral density, grip strength, walking speed and appendicular lean mass found that groups identified by these methods appeared to have little crossover or convergence of change with age, even when considering joint trajectories of change in these factors.

Indexed as

Bone DensityPhysical Functional PerformanceAgedHand StrengthHumansMaleProspective StudiesReproducibility of ResultsWalking SpeedAgingGrip strengthOlder menTrajectories

Identifiers

PMID32370738
PMCPMC7201689
OpenAlexW3022675448

What OpenQuestion holds

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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.