Evidence map›Paper›PMID 28556419›Full record

ArticleJournal of magnetic resonance imaging : JMRI2018

Association of diabetes mellitus and biochemical knee cartilage composition assessed by T

Nattagan Chanchek, Alexandra S Gersing, Benedikt J Schwaiger, Michael C Nevitt, Jan Neumann, Gabby B Joseph, Nancy E Lane, Julia Zarnowski, Felix C Hofmann, Ursula Heilmeier and 2 more

Open access · greenAbstract readMulticenter Study
In one paragraph

Article in Journal of magnetic resonance imaging : JMRI, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
4.0field-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

19 citing papers in PubMed, 31 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

12 authors at 3 institutions in 3 countries.

Nattagan ChanchekDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA.
Alexandra S GersingDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA.
Benedikt J SchwaigerDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA.
Michael C NevittDepartment of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California, USA.
Jan NeumannDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA.
Gabby B JosephDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA.
Nancy E LaneDepartment of Internal Medicine, UC Davis Medical Center, Sacramento, California, USA.
Julia ZarnowskiDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA.
Felix C HofmannDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA.
Ursula HeilmeierDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA.
Charles E McCullochDepartment of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California, USA.
Thomas M LinkDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA.
University of California System · USUniversity of California, San Francisco · USUniversity of California Davis Medical Center · US

Funding

UCSF Nutrition Obesity Research CenterP30DK098722 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CHRISTIAN VAISSE · 2015 to 2026
$14.6M
MRI TO STUDY CARTILAGE/BONE INTERACTIONSR01AR046905 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MAJUMDAR, SHARMILA · 1999 to 2015
$6.3M
Translation of Quantitative Imaging in OsteoarthritisP50AR060752 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SOUZA, RICHARD BRIAN · 2011 to 2015
$6.2M
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 AR066262NIAMS NIH HHS P50 AR060752NIAMS NIH HHS R01 AR046905NIAMS NIH HHS R01 AR064771NIDDK NIH HHS P30 DK098722
6 · The paper itself

Abstract

purposeTo investigate the association of the presence and severity of diabetes mellitus (DM) with articular cartilage composition, using magnetic resonance imaging (MRI)-based T MATERIALS AND

methodsIn the Osteoarthritis Initiative 208, participants with DM (age 63.0 ± 8.9 years; 111 females) and risk factors for osteoarthritis (OA) or mild radiographic tibiofemoral OA (Kellgren-Lawrence [KL] grade ≤2) were identified and group-matched with 208 controls without DM (age 63.3 ± 9.1 years; 111 females). Subjects with diabetes-related renal or ophthalmological complications or insulin treatment at baseline (n = 50) were defined as severe DM. 3T MR images of the right knee were assessed for articular cartilage T

resultsDM subjects had significantly higher cartilage T

conclusionIn comparison to nondiabetic controls, cartilage in DM subjects showed higher and more heterogeneous cartilage T LEVEL OF EVIDENCE: 2 Technical Efficacy: 5 J. Magn. Reson. Imaging 2018;47:380-390.

Indexed as

Cartilage, ArticularCartilage DiseasesCohort StudiesDiabetes ComplicationsFemaleHumansKnee JointLongitudinal StudiesMagnetic Resonance ImagingMaleMiddle AgedOsteoarthritis, KneeRisk FactorsSeverity of Illness IndexTimecartilage imagingdiabetesknee osteoarthritismagnetic resonance imaging

Identifiers

PMID28556419
PMCPMC5702599
OpenAlexW2617716171

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.