Evidence map›Paper›PMID 41777552›Full record

ArticleOpen life sciences2026

Establishment and research progress of animal models for intervertebral disc degeneration.

Cong Zhang, Rui Sun, Qing Jiang

Abstract read
In one paragraph

Article in Open life sciences, 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

3 authors.

Cong ZhangDivision of Sports Medicine and Adult Reconstructive Surgery, Department of Orthopedic Surgery, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, 210008 Nanjing, Jiangsu, China.
Rui SunDepartment of Spine Surgery, Zhongda Hospital, School of Medicine, Southeast University, 210008 Nanjing, Jiangsu, China.
Qing JiangDivision of Sports Medicine and Adult Reconstructive Surgery, Department of Orthopedic Surgery, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, 210008 Nanjing, Jiangsu, China.ORCID https://orcid.org/0000-0002-2552-9686

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Low back pain associated with intervertebral disc degeneration (IDD) is a prevalent condition in clinical practice, significantly impacting patients' work and quality of life. Animal models are indispensable for IDD research, offering crucial tools to investigate the molecular mechanisms of disease onset and progression, as well as to evaluate potential therapeutic interventions. Current animal models for IDD include intervertebral disc injury, spontaneous degeneration, mechanically induced, and chemically induced models, each exhibiting unique strengths and limitations in mimicking the pathological features of human IDD. Despite these advancements, existing models continue to struggle with replicating the long-term, progressive nature of degeneration and the heterogeneity observed in human patients. With the emergence of bioengineering techniques and molecular imaging, novel approaches to model construction and evaluation have opened new avenues for IDD research. This review systematically synthesizes current strategies for constructing IDD animal models, their application characteristics, and associated challenges, while also projecting future research directions. The aim is to provide guidance for optimizing model selection and accelerating translational research in the field of IDD.

Indexed as

animal modelannulus fibrosusintervertebral disc degenerationlow back painnucleus pulposus

Identifiers

PMID41777552
PMCPMC12952208

What OpenQuestion holds

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LicenceCC BY
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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.