Evidence map›Paper›PMID 36611346›Full record

ReviewDiagnostics (Basel, Switzerland)2022

Advanced MR Imaging for Knee Osteoarthritis: A Review on Local and Brain Effects.

Carlo A Mallio, Caterina Bernetti, Francesco Agostini, Massimiliano Mangone, Marco Paoloni, Gabriele Santilli, Francesca Maria Martina, Carlo C Quattrocchi, Bruno Beomonte Zobel, Andrea Bernetti

Abstract readReview
In one paragraph

Review in Diagnostics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

10 authors.

Carlo A MallioUnit of Diagnostic Imaging and Interventional Radiology, Campus Bio-Medico University of Rome, 00128 Rome, Italy.ORCID 0000-0002-0149-0801
Caterina BernettiUnit of Diagnostic Imaging and Interventional Radiology, Campus Bio-Medico University of Rome, 00128 Rome, Italy.
Francesco AgostiniDepartment of Anatomical and Histological Sciences, Legal Medicine and Orthopedics, Sapienza University of Rome, 00185 Rome, Italy.ORCID 0000-0003-3162-3473
Massimiliano MangoneDepartment of Anatomical and Histological Sciences, Legal Medicine and Orthopedics, Sapienza University of Rome, 00185 Rome, Italy.
Marco PaoloniDepartment of Anatomical and Histological Sciences, Legal Medicine and Orthopedics, Sapienza University of Rome, 00185 Rome, Italy.ORCID 0000-0002-0947-9711
Gabriele SantilliDepartment of Surgical and Medical Sciences and Translational Medicine, Sapienza University of Rome, 00185 Rome, Italy.
Francesca Maria MartinaUnit of Diagnostic Imaging and Interventional Radiology, Campus Bio-Medico University of Rome, 00128 Rome, Italy.
Carlo C QuattrocchiUnit of Diagnostic Imaging and Interventional Radiology, Campus Bio-Medico University of Rome, 00128 Rome, Italy.
Bruno Beomonte ZobelUnit of Diagnostic Imaging and Interventional Radiology, Campus Bio-Medico University of Rome, 00128 Rome, Italy.ORCID 0000-0001-9227-5535
Andrea BernettiDepartment of Anatomical and Histological Sciences, Legal Medicine and Orthopedics, Sapienza University of Rome, 00185 Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Knee osteoarthritis is one of the leading causes of chronic disability worldwide and is a significant social and economic burden on healthcare systems; hence it has become essential to develop methods to identify patients at risk for developing knee osteoarthritis at an early stage. Standard morphological MRI sequences are focused mostly on alterations seen in advanced stages of osteoarthritis. However, they possess low sensitivity for early, subtle, and potentially reversible changes of the degenerative process. In this review, we have summarized the state of the art with regard to innovative quantitative MRI techniques that exploit objective and quantifiable biomarkers to identify subtle alterations that occur in early stages of osteoarthritis in knee cartilage before any morphological alteration occurs and to capture potential effects on the brain. These novel MRI imaging tools are believed to have great potential for improving the current standard of care, but further research is needed to address limitations before these compositional techniques can be robustly applied in research and clinical settings.

Indexed as

brainDGEMRICknee osteoarthritisMRIquantitative imagingT1ρ mappingT2-mapping

Identifiers

PMID36611346
PMCPMC9818324

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.