Evidence map›Paper›PMID 42414262›Full record

ReviewBone research2026

Advances in heterogeneity and classification of osteoarthritis.

Taiyuan Huang, Jianxiong Shu, Zhaoran Wu, Zhong Alan Li, Rocky S Tuan, Changhai Ding, Yao Lu

Abstract readReview
In one paragraph

Review in Bone research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Review
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

7 authors.

Taiyuan Huang *Department of Joint and Orthopedics, Orthopedic Center, Clinical Research Center, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Jianxiong Shu *Department of Joint and Orthopedics, Orthopedic Center, Clinical Research Center, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Zhaoran Wu *Department of Joint and Orthopedics, Orthopedic Center, Clinical Research Center, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Zhong Alan LiDepartment of Biomedical Engineering, The Chinese University of Hong Kong, Hong Kong SAR, China.ORCID 0000-0002-6009-629X
Rocky S TuanDepartment of Biomedical Engineering, The Chinese University of Hong Kong, Hong Kong SAR, China.
Changhai DingDepartment of Joint and Orthopedics, Orthopedic Center, Clinical Research Center, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China. changhai.ding@utas.edu.au.ORCID 0000-0002-9479-730X
Yao LuDepartment of Joint and Orthopedics, Orthopedic Center, Clinical Research Center, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China. oayul@smu.edu.cn.ORCID 0000-0001-7650-4828

Funding

National Natural Science Foundation of China (National Science Foundation of China) 82372374
6 · The paper itself

Abstract

Osteoarthritis (OA) is a highly heterogeneous disease that exhibits distinct clinical manifestations and pathological mechanisms in different joints, patients, and even at different disease stages for the same patient. Genetic and pathophysiological factors contribute to the heterogeneity of OA in clinical manifestations, treatment responses, and prognosis of patients. Despite efforts in developing disease-modifying OA drugs and treatment technologies, no current approach can efficiently delay OA progression, and results from clinical research are inconsistent due to the mismatch between treatment mechanisms and heterogeneous patient subtypes. Researchers utilize clinical data to classify OA into different phenotypes based on etiological factors, clinical symptoms, and imaging features, as well as endotypes based on biomarkers, molecular mechanisms, metabolism profiles, and omics analyses, but there is still a lack of unified standards. Therefore, a comprehensive understanding of the heterogeneity and classification of OA is crucial for stratified and personalized treatment. In this Review, we discuss the heterogeneity of OA, with an emphasis on heterogeneity in treatment responses. We provide a structured analysis of current studies of OA classification, offering new perspectives for future OA research and clinical practice.

Indexed as

OsteoarthritisBiomarkersHumansPhenotypeBiomarkers

Identifiers

PMID42414262
PMCPMC13342100

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.