Evidence map›Paper›PMID 27454790›Full record

Observational studyJournal of computer assisted tomography

Baseline Cartilage Thickness and Meniscus Extrusion Predict Longitudinal Cartilage Loss by Quantitative Magnetic Resonance Imaging: Data From the Osteoarthritis Initiative.

Jason S Klein, Jean Jose, Michael G Baraga, Ty K Subhawong

Abstract readMulticenter StudyObservational Study
In one paragraph

Observational study in Journal of computer assisted tomography. 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
–field-weighted citation impact
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.

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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

4 authors.

Jason S KleinFrom the *Department of Orthopaedic Surgery, Sports Medicine Division, and †Department of Radiology, Musculoskeletal Division, University of Miami Miller School of Medicine/Jackson Memorial Hospital, Miami, FL.
Jean Jose
Michael G Baraga
Ty K Subhawong

Funding

CLINICAL CENTERS FOR THE OSTEOARTHRITIS INITIATIVE-264022259-264022259N01AR022259 · NIAMS · UNIVERSITY OF MARYLAND AT BALT · PI HOCHBERG, MARC C. · 2002 to 2006
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NIAMS NIH HHS N01 AR022259
6 · The paper itself

Abstract

objectiveThis study aimed to assess how meniscus damage and baseline cartilage thickness influence the rate of cartilage loss and knee pain.

methodsOf 4796 participants in the Osteoarthritis Initiative, 86 had baseline and 48-month follow-up quantitative magnetic resonance imaging data for medial compartment cartilage thickness. Baseline meniscus pathology was scored by a musculoskeletal radiologist using Whole-Organ Magnetic Resonance Imaging Score. Findings were correlated with 72-month Knee injury and Osteoarthritis Outcome Score.

resultsUnivariate analysis showed cartilage change was not influenced by demographic variables. Multivariable regression revealed that initial cartilage thickness (-1.07 mm at 48 months for every 1 mm decrease at baseline, P < 0.001) and meniscus extrusion (-0.33 mm if present at baseline, P < 0.001) were the strongest predictors of medial compartment cartilage thickness at 48 months. Knee injury and Osteoarthritis Outcome Score pain scores did not correlate with cartilage loss.

conclusionsBaseline cartilage thickness and meniscus extrusion are important and independent predictors for accelerated cartilage loss. However, the degree of cartilage loss did not correlate with midterm change in clinical outcome scores.

Indexed as

AgedArthralgiaCausalityCohort StudiesComorbidityFemaleFloridaHumansLongitudinal StudiesMagnetic Resonance ImagingMaleMenisci, TibialMiddle AgedOrgan SizeOsteoarthritis, KneePain Measurement

Identifiers

PMID27454790
PMCPMC5110362

What OpenQuestion holds

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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.