Evidence map›Paper›PMID 26085027›Full record

ReviewDrugs & aging2015

Can We Identify Patients with High Risk of Osteoarthritis Progression Who Will Respond to Treatment? A Focus on Biomarkers and Frailty.

Nigel Arden, Pascal Richette, Cyrus Cooper, Olivier Bruyère, Eric Abadie, Jaime Branco, Maria Luisa Brandi, Francis Berenbaum, Cécile Clerc, Elaine Dennison and 18 more

Registry-linked trialOpen access · hybridAbstract readReview
In one paragraph

Review in Drugs & aging, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03294408 (Capacity of Multimodal Imaging of Subchondral Bone for the Prediction of Structural Evolution in Knee Osteoarthritis), which is not on this map. Cited by 18 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 4 pooled it
5.6field-weighted citation impact, top 4% 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.

NCT03294408 nacompletednot on this mapstarted 2016, after this paper: background citation

Capacity of Multimodal Imaging of Subchondral Bone for the Prediction of Structural Evolution in Knee Osteoarthritis

TypeinterventionalSponsorCentre Hospitalier Régional d'OrléansRan2016 to 2023Enrolled167ConditionsKnee Osteoarthritis, Joint Disease, Arthritis, Musculoskeletal DiseaseArmsmultimodal imaging
3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 4 syntheses or guidelines pooled it, 47 citations in OpenAlex.

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  8. Pelvic fractures in severely injured elderly: a double-adjustment propensity score matched analysis from a level I trauma center.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2022
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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

28 authors at 20 institutions in 11 countries.

Nigel ArdenNIHR Musculoskeletal Biomedical Research Unit, University of Oxford, Oxford, UK.
Pascal Richette
Cyrus Cooper
Olivier Bruyère
Eric Abadie
Jaime Branco
Maria Luisa Brandi
Francis Berenbaum
Cécile Clerc
Elaine Dennison
Jean-Pierre Devogelaer
Marc Hochberg
Pieter D'Hooghe
Gabriel Herrero-Beaumont
John A Kanis
Andrea Laslop
Véronique Leblanc
Stefania Maggi
Giuseppe Mautone
Jean-Pierre Pelletier
Florence Petit-Dop
Susanne Reiter-Niesert
René Rizzoli
Lucio Rovati
Eleonora Tajana Messi
Yannis Tsouderos
Johanne Martel-Pelletier
Jean-Yves Reginster
Hôpital Notre-Dame · CAIBSA Institut Biochimique (Switzerland) · CHServier (France) · FRUniversity of Oxford · GBAssistance Publique – Hôpitaux de Paris · FRAustrian Agency for Health and Food Safety · ATCHU Ambroise Paré · BEDélégation Paris 7 · FRFederal Institute for Drugs and Medical Devices · DEHôpital Saint-Luc · CAHospital de Egas Moniz · PTHospital Universitario Fundación Jiménez Díaz · ESLaboratoires Expanscience · FRLaboratoires Genevrier (France) · FRNational Research Council · ITSorbonne Université · FRUniversity of Florence · ITUniversity of Liège · BEUniversity of Maryland, Baltimore · USUniversity of Sheffield · GB

Funding

Medical Research Council G0400491Medical Research Council MC_U147585819Medical Research Council MC_U147585824Medical Research Council MC_U147585827Medical Research Council MC_UP_A620_1014Medical Research Council MC_UU_12011/1
6 · The paper itself

Abstract

Osteoarthritis (OA), a disease affecting different patient phenotypes, appears as an optimal candidate for personalized healthcare. The aim of the discussions of the European Society for Clinical and Economic Aspects of Osteoporosis and Osteoarthritis (ESCEO) working group was to explore the value of markers of different sources in defining different phenotypes of patients with OA. The ESCEO organized a series of meetings to explore the possibility of identifying patients who would most benefit from treatment for OA, on the basis of recent data and expert opinion. In the first meeting, patient phenotypes were identified according to the number of affected joints, biomechanical factors, and the presence of lesions in the subchondral bone. In the second meeting, summarized in the present article, the working group explored other markers involved in OA. Profiles of patients may be defined according to their level of pain, functional limitation, and presence of coexistent chronic conditions including frailty status. A considerable amount of data suggests that magnetic resonance imaging may also assist in delineating different phenotypes of patients with OA. Among multiple biochemical biomarkers identified, none is sufficiently validated and recognized to identify patients who should be treated. Considerable efforts are also being made to identify genetic and epigenetic factors involved in OA, but results are still limited. The many potential biomarkers that could be used as potential stratifiers are promising, but more research is needed to characterize and qualify the existing biomarkers and to identify new candidates.

Indexed as

BiomarkersDisease ProgressionHumansMagnetic Resonance ImagingOsteoarthritisPredictive Value of TestsRisk FactorsBiomarkers

Identifiers

PMID26085027
PMCPMC4516900
OpenAlexW1941342725

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

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.