Evidence map›Paper›PMID 29304778›Full record

Observational studyBMC musculoskeletal disorders2018

Inflammation and glucose homeostasis are associated with specific structural features among adults without knee osteoarthritis: a cross-sectional study from the osteoarthritis initiative.

Alina C Stout, Mary F Barbe, Charles B Eaton, Mamta Amin, Fatimah Al-Eid, Lori Lyn Price, Bing Lu, Grace H Lo, Ming Zhang, Jincheng Pang and 2 more

Open access · goldAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in BMC musculoskeletal disorders, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.8field-weighted citation impact, top 7% 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

7 citing papers in PubMed, 44 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 6 institutions in 1 country.

Alina C StoutDivision of Rheumatology, Tufts Medical Center, 800 Washington Street, Box #406, Boston, MA, 02111, USA.
Mary F BarbeDepartment of Anatomy and Cell Biology, Temple University School of Medicine, 3500 North Broad Street, Philadelphia, PA, 19140, USA.
Charles B EatonCenter for Primary Care and Prevention, Alpert Medical School of Brown University, 111 Brewster Street, Pawtucket, RI, 02860, USA.
Mamta AminDepartment of Anatomy and Cell Biology, Temple University School of Medicine, 3500 North Broad Street, Philadelphia, PA, 19140, USA.
Fatimah Al-EidDivision of Rheumatology, Tufts Medical Center, 800 Washington Street, Box #406, Boston, MA, 02111, USA.
Lori Lyn PriceThe Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, 800 Washington Street, Box #63, Boston, MA, 02111, USA.
Bing LuBrigham & Women's Hospital and Harvard Medical School, 75 Francis Street PBB-B3, Boston, MA, 02115, USA.
Grace H LoMedical Care Line and Research Care Line, Houston Health Services Research and Development (HSR&D) Center of Excellence Michael E. DeBakey VAMC, 2002 Holcombe Blvd, Houston, TX, 77030, USA.
Ming ZhangDivision of Rheumatology, Tufts Medical Center, 800 Washington Street, Box #406, Boston, MA, 02111, USA.
Jincheng PangDepartment of Electrical Engineering, Tufts University, 161 College Avenue, Medford, MA, 02155, USA.
Timothy E McAlindonDivision of Rheumatology, Tufts Medical Center, 800 Washington Street, Box #406, Boston, MA, 02111, USA.
Jeffrey B DribanDivision of Rheumatology, Tufts Medical Center, 800 Washington Street, Box #406, Boston, MA, 02111, USA. jeffrey.driban@tufts.edu.
Tufts Medical Center · USTemple University · USBrigham and Women's Hospital · USBrown University · USHealth Services Research & Development · USTufts University · US

Funding

Characterization of Rapidly Progressive Knee OsteoarthritisR01AR065977 · NIAMS · TUFTS MEDICAL CENTER · PI DRIBAN, JEFFREY B · 2015 to 2018
$1.5M
NIAMS NIH HHS R01 AR065977
6 · The paper itself

Abstract

backgroundGreater age and body mass index are strong risk factors for osteoarthritis (OA). Older and overweight individuals may be more susceptible to OA because these factors alter tissue turnover in menisci, articular cartilage, and bone via altered glucose homeostasis and inflammation. Understanding the role of inflammation and glucose homeostasis on structural features of early-stage OA may help identify therapeutic targets to delay or prevent the onset of OA among subsets of adults with these features. We examined if serum concentrations of glucose homeostasis (glucose, glycated serum protein [GSP]) or inflammation (C-reactive protein [CRP]) were associated with prevalent knee bone marrow lesions (BMLs) or effusion among adults without knee OA.

methodsWe conducted a cross-sectional study using baseline data from the Osteoarthritis Initiative. We selected participants who had no radiographic knee OA but were at high risk for knee OA. Blinded staff conducted assays for CRP, GSP, and glucose. Readers segmented BML volume and effusion using semi-automated programs. Our outcomes were prevalent BML (knee with a BML volume > 1 cm

resultsWe included 343 participants: mean age = 59 ± 9 years, BMI = 27.9 ± 4.5 kg/m

conclusionsAmong individuals without knee OA, CRP may be related to the presence of BMLs and effusion among normal weight individuals. Abnormal GSP may be associated with effusion. Future studies should explore whether inflammation and glucose homeostasis are predictive of symptomatic knee OA.

Indexed as

AgedCross-Sectional StudiesFemaleGlucoseHomeostasisHumansInflammationLongitudinal StudiesMaleMiddle AgedOsteoarthritis, KneeGlucoseBone marrow lesionsEffusionMagnetic resonance imagingOsteoarthritis

Identifiers

PMID29304778
PMCPMC5755424
OpenAlexW2782221690

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.