Evidence map›Paper›PMID 40641897›Full record

ReviewThe archives of bone and joint surgery2025

Helical, Spring and Curled Nano/Micro Fibrous Structures for Tissue Engineering Application.

Mohammad H Ebrahimzadeh, Afsaneh Jahani, Ali Moradi, Davod Mohebbi-Kalhori

Abstract readReview
In one paragraph

Review in The archives of bone and joint surgery, 2025. 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

4 authors.

Mohammad H EbrahimzadehOrthopedic Research Center, Department of Orthopedic Surgery, Mashhad University of Medical Science, Mashhad, Iran.
Afsaneh JahaniOrthopedic Research Center, Department of Orthopedic Surgery, Mashhad University of Medical Science, Mashhad, Iran.
Ali MoradiOrthopedic Research Center, Department of Orthopedic Surgery, Mashhad University of Medical Science, Mashhad, Iran.
Davod Mohebbi-KalhoriChemical Engineering Department, University of Sistan and Baluchestan, Zahedan, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over the past few decades, the engineering of helical, spring, curled, and hierarchically structured nano/microfibers has attracted considerable attention due to their unique characteristics and potential applications in tissue engineering and various industrial fields. Understanding the parameters and processes involved in the fabrication of these fibers is essential. This comprehensive review outlines recent advancements in research on helical nano/microfibers, focusing on processing techniques, fiber structure, and property characterization, and their applications in fields such as tissue engineering and regenerative medicine. The study also investigates the mechanical and hydrodynamic parameters that influence the fabrication of helical fibers using contemporary techniques. It highlights that helical structures form when electric and elastic forces are balanced due to non-uniform electric fields. The coaxial electrospinning technique, along with the use of polymers with varying elastic and conductive properties, plays a crucial role in producing these structures. The distinctive properties of helical nanofibers, such as their mechanical strength, high porosity, biocompatibility, and ability to promote cellular activities, make them promising candidates for developing scaffolds in bone tissue engineering.

Indexed as

Bi-componentCo-electrospinningElastic forceElectrospinningHelical nanofiberTissue engineering

Identifiers

PMID40641897
PMCPMC12238862

What OpenQuestion holds

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LicenceCC BY-NC
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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.