Evidence map›Paper›PMID 41158515›Full record

ArticleBioactive materials2026

3D printed flexible composite scaffold with ultrasonic-driven wireless electrical stimulation promotes neuro-vascularization for critical-size bone defects regeneration.

Yuhao Xia, Wenying Wei, Pengfei Chen, Yifu Zhu, Xiaopei Wu, Honglian Dai

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Bioactive materials, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
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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.

Yuhao XiaState Key Laboratory of Advanced Technology for Materials Synthesis and Processing, and School of Chemistry, Chemical Engineering and Life Sciences, Wuhan University of Technology, Wuhan 430070, China.
Wenying WeiState Key Laboratory of Advanced Technology for Materials Synthesis and Processing, and School of Chemistry, Chemical Engineering and Life Sciences, Wuhan University of Technology, Wuhan 430070, China.
Pengfei ChenState Key Laboratory of Advanced Technology for Materials Synthesis and Processing, and School of Chemistry, Chemical Engineering and Life Sciences, Wuhan University of Technology, Wuhan 430070, China.
Yifu ZhuState Key Laboratory of Advanced Technology for Materials Synthesis and Processing, and School of Chemistry, Chemical Engineering and Life Sciences, Wuhan University of Technology, Wuhan 430070, China.
Xiaopei WuState Key Laboratory of Advanced Technology for Materials Synthesis and Processing, and School of Chemistry, Chemical Engineering and Life Sciences, Wuhan University of Technology, Wuhan 430070, China.
Honglian DaiState Key Laboratory of Advanced Technology for Materials Synthesis and Processing, and School of Chemistry, Chemical Engineering and Life Sciences, Wuhan University of Technology, Wuhan 430070, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Regeneration of critical-size bone defects hinges on the reconstruction of neurovascular networks. The electrophysiological properties of native bone underscore the pivotal role of endogenous bioelectricity in coordinating nerve-vascular-bone regeneration. However, traditional piezoelectric scaffolds impede regenerative efficiency due to their intrinsic limitations. To tackle this, 3D printed flexible polyvinyl alcohol/whitlockite/barium titanate (PVA/WH/BaTiO

Indexed as

3D printed flexible composite scaffoldsCritical-size bone defectsNeuro-vascularization networkWireless electrical stimulation

Identifiers

PMID41158515
PMCPMC12557498

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.