Evidence map›Paper›PMID 31621574›Full record

ReviewClinical and experimental rheumatology

Phenotypes of osteoarthritis: current state and future implications.

Leticia A Deveza, Amanda E Nelson, Richard F Loeser

Abstract readReview
In one paragraph

Review in Clinical and experimental rheumatology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 111 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
111citing papers in PubMed, 4 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

111 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Low dose NSAIDs and sysadoas in the management of knee osteoarthritis.Aging clinical and experimental research · 2025
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51 more citing papers are in PubMed but not listed here.

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

3 authors.

Leticia A DevezaRheumatology Department, Royal North Shore Hospital and Institute of Bone and Joint Research, Kolling Institute, University of Sydney, NSW, Australia. leticia.alle@sydney.edu.au.
Amanda E NelsonDepartment of Medicine, University of North Carolina at Chapel Hill, and Thurston Arthritis Research Center, University of North Carolina School of Medicine, Chapel Hill, NC, USA.
Richard F LoeserDepartment of Medicine, University of North Carolina at Chapel Hill, and Thurston Arthritis Research Center, University of North Carolina School of Medicine, Chapel Hill, NC, USA.

Funding

UNC Core Center for Clinical ResearchP30AR072580 · NIAMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI LEIGH Fleming CALLAHAN, Amanda E Nelson · 2019 to 2026
$6.1M
NIAMS NIH HHS P30 AR072580
6 · The paper itself

Abstract

In the most recent years, an extraordinary research effort has emerged to disentangle osteoarthritis heterogeneity, opening new avenues for progressing with therapeutic development and unravelling the pathogenesis of this complex condition. Several phenotypes and endotypes have been proposed albeit none has been sufficiently validated for clinical or research use as yet. This review discusses the latest advances in OA phenotyping including how new modern statistical strategies based on machine learning and big data can help advance this field of research.

Indexed as

OsteoarthritisPrecision MedicineBig DataForecastingHumansPhenotype

Identifiers

PMID31621574
PMCPMC6936212

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.