Evidence map›Paper›PMID 40591661›Full record

ReviewEFORT open reviews2025

Selection of experimental animals and modeling methods in developmental dysplasia of the hip research.

Yu Rao, Gonzalo Saiz-Gonzalo, Prateeksha Prateeksha, Anmin Wang, Hongxin Shi, Weiguo Wang, Chuan Li

Abstract readReview
In one paragraph

Review in EFORT open reviews, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

7 authors.

Gonzalo Saiz-Gonzalo
Prateeksha Prateeksha
Anmin Wang
Hongxin Shi
Weiguo Wang
Chuan Li

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Developmental dysplasia of the hip (DDH) is a common neonatal musculoskeletal condition characterized by hip instability and inadequate acetabular coverage. If untreated, it can lead to osteoarthritis, chronic pain, and eventual hip replacement. Animal models, including dogs, pigs, sheep, rabbits, rodents, and chickens, are essential tools for studying DDH pathogenesis and testing therapeutic strategies. Larger species closely resemble human anatomy, while smaller species facilitate cost-effective, high-throughput studies and advanced genetic manipulation. Key modeling strategies include surgical interventions (e.g. joint dislocation, femoral or pelvic osteotomy), external fixation, and genetic modifications (e.g. gene knockout or lentiviral transduction) to simulate various aspects of DDH and reflect its multifactorial etiology. Evaluation techniques such as radiography, microcomputed tomography, MRI, and ultrasound are employed to image bony and cartilaginous structures. Histological and immunohistochemical analyses provide insights into cellular and extracellular matrix changes, while gait assessments evaluate functional deficits and pain-related behaviors. Selecting an appropriate animal model requires careful consideration of research objectives, ethical standards, and translational potential. Advances in gene editing technologies (e.g. CRISPR), three-dimensional-printed implants, and in vivo imaging are enhancing model fidelity and accelerating the discovery of novel therapies. Ongoing innovations in DDH research are expected to bridge gaps in understanding the disease's etiology and improve long-term outcomes for affected patients through optimized therapeutic interventions.

Indexed as

animal modelsdevelopmental dysplasia of the hipevaluation protocolsgenetic manipulationtransgenic animals

Identifiers

PMID40591661
PMCPMC12232400

What OpenQuestion holds

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LicenceCC BY
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.