Evidence map›Paper›PMID 39911590›Full record

ReviewJournal of orthopaedic translation2025

Clinical and omics biomarkers in osteoarthritis diagnosis and treatment.

Muhai Deng, Cong Tang, Li Yin, Yunsheng Jiang, Yang Huang, Yong Feng, Cheng Chen

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Journal of orthopaedic translation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

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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

7 authors.

Muhai DengCollege of Medical Informatics, Chongqing Medical University, Chongqing, 400016, China.
Cong TangCollege of Medical Informatics, Chongqing Medical University, Chongqing, 400016, China.
Li YinDepartment of Orthopaedics, General Hospital of Western Theater Command, Chengdu, 610083, China.
Yunsheng JiangDepartment of Orthopedics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Yang HuangState Key Laboratory of Trauma, Burns and Combined Injury, Department of Wound Infection and Drug, Daping Hospital, Army Medical University, Chongqing, 400042, China.
Yong FengDepartment of Orthopedic Surgery, Chongqing Emergency Medical Center, Chongqing University Central Hospital, Chongqing, 400014, China.
Cheng ChenCollege of Medical Informatics, Chongqing Medical University, Chongqing, 400016, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Osteoarthritis (OA) is a prevalent degenerative joint disease that significantly impacts the quality of life for hundreds of millions, and is a major cause of disability. Despite this, diagnostic and therapeutic options for OA are still limited. With advances in molecular biology, an increasing number of OA biomarkers have been identified, which not only enhances our understanding of OA pathogenesis, but also offers new approaches for OA diagnosis and treatment. This review discussed the research progress on traditional OA biomarkers, and analyzed the application of various omics, including genomics, transcriptomics, proteomics, and metabolomics, in the diagnosis and treatment of OA. Furthermore, we explored how integrating multi-omics methods can reveal interactions among different biomolecules and their roles in the development of OA. This emerging interdisciplinary approach not only provides a more comprehensive understanding of the fundamental biological characteristics of OA, but also aids in identifying new integrated biomarkers, thereby allowing for more accurate predictions of disease progression and treatment responses. The identification and development of biomarkers offer new perspectives in understanding OA, enhancing the specificity and sensitivity of biological diagnostic markers, providing a basis for the design of targeted drugs, and ultimately advancing the development of precision diagnosis and treatment strategies in clinical OA. This study provides an overview of both commonly used and emerging biomarkers of OA which is beneficial for a more accurate, timely, effective clinical diagnosis and treatment for OA.

Indexed as

BioinformaticsBiomarkersCytokinesEarly diagnosisMulti-omicsOsteoarthritis

Identifiers

PMID39911590
PMCPMC11795539

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.