Evidence map›Paper›PMID 39737668›Full record

ArticleAdvanced healthcare materials2025

Thermally Drawn Shape and Stiffness Programmable Fibers for Medical Devices.

Jiwoo Choi, Qindong Zheng, Mohamed E M K Abdelaziz, Thomas Dysli, Daniel Bautista-Salinas, Andreas Leber, Shan Jiang, Jianan Zhang, Ali Anil Demircali, Jinshi Zhao and 7 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Advanced healthcare materials, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. 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

17 authors.

Jiwoo ChoiDepartment of Metabolism, Digestion, and Reproduction, Faculty of Medicine, Imperial College London, London, SW7 2AZ, UK.ORCID 0000-0001-8961-9536
Qindong ZhengDepartment of Bioengineering, Faculty of Engineering, Imperial College London, London, SW7 2AZ, UK.
Mohamed E M K AbdelazizThe Hamlyn Center, Institution of Global Health Innovation, Imperial College London, London, SW7 2AZ, UK.
Thomas DysliThe Hamlyn Center, Institution of Global Health Innovation, Imperial College London, London, SW7 2AZ, UK.
Daniel Bautista-SalinasThe Hamlyn Center, Institution of Global Health Innovation, Imperial College London, London, SW7 2AZ, UK.
Andreas LeberInstitute of Materials, École Polytechnique Fédérale de Lausanne, Lausanne, 1015, Switzerland.
Shan JiangBradley Department of Electrical and Computer Engineering, Virginia Polytechnic Institute and State University, Blacksburg, VA, 24060, USA.
Jianan ZhangThe Hamlyn Center, Institution of Global Health Innovation, Imperial College London, London, SW7 2AZ, UK.
Ali Anil DemircaliDepartment of Metabolism, Digestion, and Reproduction, Faculty of Medicine, Imperial College London, London, SW7 2AZ, UK.
Jinshi ZhaoDepartment of Metabolism, Digestion, and Reproduction, Faculty of Medicine, Imperial College London, London, SW7 2AZ, UK.
Yue LiuBradley Department of Electrical and Computer Engineering, Virginia Polytechnic Institute and State University, Blacksburg, VA, 24060, USA.
Nick W F LintonDepartment of Bioengineering, Faculty of Engineering, Imperial College London, London, SW7 2AZ, UK.
Fabien SorinInstitute of Materials, École Polytechnique Fédérale de Lausanne, Lausanne, 1015, Switzerland.
Xiaoting JiaBradley Department of Electrical and Computer Engineering, Virginia Polytechnic Institute and State University, Blacksburg, VA, 24060, USA.
Eric M YeatmanDepartment of Electrical and Electronic Engineering, Imperial College London, London, SW7 2AZ, UK.
Guang-Zhong YangInstitute of Medical Robots, Shanghai Jiao Tong University, Shanghai, 200240, China.
Burak TemelkuranDepartment of Metabolism, Digestion, and Reproduction, Faculty of Medicine, Imperial College London, London, SW7 2AZ, UK.ORCID 0000-0003-2390-5091

Funding

Engineering and Physical Sciences Research Council EP/P012779Medical Research Council MR/X502959/1Rosetrees Trust
6 · The paper itself

Abstract

Despite the significant advantages of Shape Memory Polymers (SMPs), material processing and production challenges have limited their applications. Recent advances in fiber manufacturing offer a novel approach to processing polymers, broadening the functions of fibers beyond optical applications. In this study, a thermal drawing technique for SMPs to fabricate Shape Memory Polymer Fibers (SMPFs) tailored for medical applications, featuring programmable stiffness and shape control is developed. Rheological and differential scanning calorimetry analyses are conducted to assess SMP's compatibility with the proposed thermal drawing process and applications, leading to the production of multilumen, multimaterial SMPFs activated at body temperature. Different properties of SMPFs are investigated in three medical devices: stiffness-adjustable catheters, softening neural interface, and shape-programmable cochlear implants. Comprehensive characterization of these devices demonstrates the potential of thermally drawn SMPs to be employed in a wide range of applications demanding programmable mechanical properties.

Indexed as

Equipment and SuppliesPolymersSmart MaterialsCalorimetry, Differential ScanningCochlear ImplantsRheologyTemperaturePolymersSmart Materialsmedical applicationmultimaterial fiberprogrammable fibershape memory polymerthermal drawing

Identifiers

PMID39737668
PMCPMC12004436

What OpenQuestion holds

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LicenceCC BY
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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.