Evidence map›Paper›PMID 42635964›Full record

ArticleOsteoarthritis imaging2026

Recent advances in understanding molecular and clinical heterogeneity in osteoarthritis: one disease or several?

Tonia L Vincent, Thomas A Perry

Abstract read
In one paragraph

Article in Osteoarthritis imaging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Tonia L VincentKennedy Institute of Rheumatology, University of Oxford, Oxford OX3 7FY, UK. Electronic address: tonia.vincent@kennedy.ox.ac.uk.
Thomas A PerryKennedy Institute of Rheumatology, University of Oxford, Oxford OX3 7FY, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The failure to develop disease modifying drugs in osteoarthritis (OA) has been a frustration for academia and industry as well as a disappointment for patients. Many reasons have contributed to this failure, most notably an incomplete understanding of its pathogenesis and a lack of clarity on whether OA is one disease or a collection of several different diseases. The challenges in OA are compounded by the heterogeneous clinical presentation of disease and its slow insidious course in most individuals. Patient reported pain is variable, only partly correlates with structural disease, and is complicated by the development of central sensitisation leading to pain amplification in many, especially women. Happily, in recent years, a number of substantial advances have helped to define the core tenets of disease; revealing the breadth of the biology and its variance across patients with different clinical phenotypes. These advances have included large-scale agnostic approaches to unravel the biology through multi-omic analyses, improved clinical phenotyping, and phenotype-endotype comparisons. What emerges is evidence of one core biological pathway, suggesting a shared common disease process, with evidence of biology that changes as disease progresses and with clinical phenotypes such as biological sex, age and obesity. Together, these findings support the need for both shared therapeutic strategies and more personalised approaches in OA, which are likely to enhance future treatment success.

Indexed as

BiomarkersEndotypesMultiomic analysisOsteoarthritisPhenotypes

Identifiers

PMID42635964
PMCPMC13590916

What OpenQuestion holds

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Read underepoch 390

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.