Evidence map›Paper›PMID 40027992›Full record

ReviewRegenerative therapy2025

Research status of biomaterials based on physical signals for bone injury repair.

Qi Sun, Chao-Hua Li, Qi-Shun Liu, Yuan-Bin Zhang, Bai-Song Hu, Qi Feng, Yong Lang

Abstract readReview
In one paragraph

Review in Regenerative therapy, 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.

Qi SunDepartment of Orthopedics, Hangzhou Fuyang Hospital of Orthopedics of Traditional Chinese Medicine, Hangzhou, 311499, China.
Chao-Hua LiDepartment of Orthopedics, Hangzhou Fuyang Hospital of Orthopedics of Traditional Chinese Medicine, Hangzhou, 311499, China.
Qi-Shun LiuDepartment of Orthopedics, Zhejiang Medical & Health Group Hangzhou Hospital, Hangzhou, 310015, China.
Yuan-Bin ZhangDepartment of Orthopedics, Hangzhou Fuyang Hospital of Orthopedics of Traditional Chinese Medicine, Hangzhou, 311499, China.
Bai-Song HuDepartment of Orthopedics, Hangzhou Fuyang Hospital of Orthopedics of Traditional Chinese Medicine, Hangzhou, 311499, China.
Qi FengDepartment of Orthopedics, Hangzhou Fuyang Hospital of Orthopedics of Traditional Chinese Medicine, Hangzhou, 311499, China.
Yong LangDepartment of Orthopedics, Hangzhou Fuyang Hospital of Orthopedics of Traditional Chinese Medicine, Hangzhou, 311499, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bone defects repair continues to be a significant challenge facing the world. Biological scaffolds, bioactive molecules, and cells are the three major elements of bone tissue engineering, which have been widely used in bone regeneration therapy, especially with the rise of bioactive molecules in recent years. According to their physical properties, they can be divided into force, magnetic field (MF), electric field (EF), ultrasonic wave, light, heat, etc. However, the transmission of bioactive molecules has obvious shortcomings that hinder the development of the tissue-rearing process. This paper reviews the mechanism of physical signal induction in bone tissue engineering in recent years. It summarizes the application strategies of physical signal in bone tissue engineering, including biomaterial designs, physical signal loading strategies and related pathways. Finally, the ongoing challenges and prospects for the future are discussed.

Indexed as

BiomaterialsBone injury repairPhysical signals

Identifiers

PMID40027992
PMCPMC11872413

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.