Evidence map›Paper›PMID 40511305›Full record

ReviewBiochemistry and biophysics reports2025

Spinal cord injury models: Advantages and disadvantages in the view of pathophysiology and clinical significance.

Min-Qi Li, Qing-Hua Wang, Chuan-Ming Dong, Long-Ju Qi

Abstract readReview
In one paragraph

Review in Biochemistry and biophysics reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Purinergic Receptor P2Y2 Regulates Neurogenesis and Functional Recovery Following Spinal Cord Injury in Zebrafish.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
    Article
  6. Transcriptomics Insights into Spinal Cord Injury for Therapy Development.International journal of molecular sciences · 2026
    Review
  7. Article
  8. Review
  9. Review
  10. Review
  11. Article
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

4 authors.

Min-Qi LiAffiliated Nantong Hospital 3 of Nantong University, School of Medicine, Nantong University, Nantong, Jiangsu, 226001, PR China.
Qing-Hua WangAffiliated Nantong Hospital 3 of Nantong University, School of Medicine, Nantong University, Nantong, Jiangsu, 226001, PR China.
Chuan-Ming DongAffiliated Nantong Hospital 3 of Nantong University, School of Medicine, Nantong University, Nantong, Jiangsu, 226001, PR China.
Long-Ju QiAffiliated Nantong Hospital 3 of Nantong University, School of Medicine, Nantong University, Nantong, Jiangsu, 226001, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over recent decades, SCI research has advanced in understanding its pathophysiology and related mechanisms. Researchers developed many rodent SCI models to mimic injury processes, which are crucial for evaluating therapies and understanding pathology. But choosing the right model for specific research is challenging due to distinct pathological changes. This review overviews SCI pathophysiology and examines rodent models. It emphasizes model - related challenges, application value, simulation degrees, and replication of pathologies. It also discusses model advantages and limitations, and references recent reverse-engineering projects, which provide a brand-new perspective for promoting SCI research.

Indexed as

Animal modelsContusion modelsPathophysiologySpinal cord injuryTransection models

Identifiers

PMID40511305
PMCPMC12159231

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.