Evidence map›Paper›PMID 30825611›Full record

ArticleOsteoarthritis and cartilage2019

Weight loss regimen in obese and overweight individuals is associated with reduced cartilage degeneration: 96-month data from the Osteoarthritis Initiative.

A S Gersing, B J Schwaiger, M C Nevitt, J Zarnowski, G B Joseph, G Feuerriegel, P M Jungmann, J B Guimaraes, L Facchetti, C E McCulloch and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in Osteoarthritis and cartilage, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
4.2field-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

18 citing papers in PubMed, 41 citations in OpenAlex.

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  17. Setting up distinctive outcome measures for each osteoarthritis phenotype.Therapeutic advances in musculoskeletal disease · 2020
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 2 institutions in 2 countries.

A S GersingDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, USA; Department of Radiology, Technical University of Munich, Munich, Germany. Electronic address: Alexandra.Gersing@ucsf.edu.
B J SchwaigerDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, USA; Department of Radiology, Technical University of Munich, Munich, Germany. Electronic address: bschwaiger@gmx.com.
M C NevittDepartment of Epidemiology and Biostatistics, University of California, San Francisco, USA. Electronic address: MNevitt@psg.ucsf.edu.
J ZarnowskiDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, USA. Electronic address: Ju.Zarnowski@gmail.com.
G B JosephDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, USA. Electronic address: Gabby.Joseph@ucsf.edu.
G FeuerriegelDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, USA. Electronic address: g.feuerriegel@gmail.com.
P M JungmannDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, USA; Department of Radiology, Technical University of Munich, Munich, Germany. Electronic address: Pia.Jungmann@usz.ch.
J B GuimaraesDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, USA. Electronic address: Julio.BrandaoGuimaraes@ucsf.edu.
L FacchettiDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, USA. Electronic address: facchettil@gmail.com.
C E McCullochDepartment of Epidemiology and Biostatistics, University of California, San Francisco, USA. Electronic address: Charles.McCulloch@ucsf.edu.
T M LinkDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, USA. Electronic address: Thomas.Link@ucsf.edu.
University of California, San Francisco · USBMW (Germany) · DE

Funding

Skeletal Biology and Biomechanics (SBB) CoreP30AR075055 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Wenhan Chang · 2019 to 2026
$7.1M
Translation of Quantitative Imaging in OsteoarthritisP50AR060752 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SOUZA, RICHARD BRIAN · 2011 to 2015
$6.2M
Understanding the mechanisms by which weight change affects progression of knee osteoarthritis in obese and overweight individuals: An analysis of the Osteoarthritis Initiative DatasetR01AR078917 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GABRIELLE JOSEPH, THOMAS M LINK · 2021 to 2026
$3.4M
UCSF Core Center for Musculoskeletal Biology and MedicineP30AR066262 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MAJUMDAR, SHARMILA · 2014 to 2018
$3.0M
Impact of Weight loss on Knee Joint Biochemical and Structural DegenerationR01AR064771 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LINK, THOMAS M · 2014 to 2019
$1.6M
NIAMS NIH HHS P30 AR075055NIAMS NIH HHS P50 AR060752NIAMS NIH HHS R01 AR064771NIAMS NIH HHS R01 AR078917
6 · The paper itself

Abstract

purposeTo investigate change in knee cartilage composition over 96 months in overweight and obese participants with constant weight compared to those with weight loss (WL), and to assess how different WL regimens are associated with these changes.

methodsWe studied right knees of 760 participants (age 62.6 ± 9.0y; 465 females) with a baseline body mass index (BMI) >25 kg/m2 from the Osteoarthritis Initiative with mild to moderate or with risk factors for knee osteoarthritis. Participants losing weight (>5% of baseline BMI over 72 months; N = 380) were compared to controls with stable weight (SW, N = 380). Participants losing weight were categorized based on WL method (diet and exercise, diet only, exercise only) and compared to those with stable weight. Magnetic resonance imaging (MRI) at 3T was performed at baseline, 48- and 96-months. The association of WL and WL method with change in cartilage composition, measured with T2 mapping, was analyzed using mixed random effects models.

resultsCompared to SW, WL was associated with a significantly slower increase in global (averaged over all compartments) cartilage T2 (adjusted mean difference of change in T2 ms/year [95% CI] between the groups: 0.24 [0.20, 0.41] ms/year; P < 0.001) and global deep layer cartilage T2 0.35 [0.20, 0.42] ms/year; P < 0.001), suggesting slower cartilage deterioration. Compared to the SW group, slower increases in global T2 were observed in the diet and diet and exercise groups, but not in the exercise only group (P = 0.042, P = 0.003 and P = 0.85, respectively).

conclusionOur results suggest that WL may slow knee cartilage degeneration over 96 months, and that these potential benefits may differ by method of WL.

Indexed as

Diet, ReducingExerciseWeight LossAgedBody-Weight TrajectoryCartilage, ArticularCase-Control StudiesDisease ProgressionFemaleHumansKnee JointMagnetic Resonance ImagingMaleMiddle AgedObesityOsteoarthritis, KneeCartilage imagingMagnetic resonance imagingOsteoarthritisT2 relaxation timeWeight loss

Identifiers

PMID30825611
PMCPMC9115848
OpenAlexW2919931608

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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.