Evidence map›Paper›PMID 40599270›Full record

ReviewSichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition2025

[Pathology of Cartilage-to-Bone Crosstalk: A New Angle for Animal Experimental Studies on Osteoarthritis].

Jianing Wu, Yumeng Zhou, Yijin Liu, Xiaoheng Liu, Ping Zhang, Demao Zhang

Abstract readReviewEnglish Abstract
In one paragraph

Review in Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition, 2025. 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

6 authors.

Jianing Wu() ( 610041) State Key Laboratory of Oral Diseases, Sichuan University, Chengdu 610041, China.
Yumeng Zhou() ( 610041) State Key Laboratory of Oral Diseases, Sichuan University, Chengdu 610041, China.
Yijin Liu() ( 610041) State Key Laboratory of Oral Diseases, Sichuan University, Chengdu 610041, China.
Xiaoheng Liu() ( 610041) State Key Laboratory of Oral Diseases, Sichuan University, Chengdu 610041, China.
Ping Zhang() ( 610041) State Key Laboratory of Oral Diseases, Sichuan University, Chengdu 610041, China.
Demao Zhang() ( 610041) State Key Laboratory of Oral Diseases, Sichuan University, Chengdu 610041, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Osteoarthritis (OA), a common age-related chronic disease, is characterized by degenerative changes in the joints and surrounding tissues. Traditionally, research on OA has primarily focused on the pathological changes in articular cartilage and its repair. However, with the advancements in animal disease modeling in recent years, especially the widespread use of spatiotemporally specific transgenic mouse models, scholars have gradually come to realize that the subchondral bone also plays an important role in the occurrence and development of OA. That is, the pathological changes in articular cartilage and bone mutually affect and promote each other, jointly driving the progression of OA, involving such pathological processes as vascular invasion, ectopic calcification, nerve growth, and the occurrence of pain. Given the complexity of cartilage-bone pathological relationship, it is difficult to conduct in-depth research on subchondral bone pathology using clinical human samples, or to simulate the pathological processes of OA through

Indexed as

Bone and BonesCartilage, ArticularDisease Models, AnimalOsteoarthritisAnimalsHumansMiceAnimal modelsArticular cartilageOsteoarthritisSubchondral bone

Identifiers

PMID40599270
PMCPMC12207031

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.