Evidence map›Paper›PMID 42761480›Full record

ArticleiScience2026

Versatile twin layer macromolecular fibers for advanced tissue engineering applications.

Caroline S Taylor, Hamta Majd, David A Gregory, Annabelle Fricker, Syed Mohammad Daniel Syed Mohamed, Jonathan Hinchcliffe, Emmanuel Asare, Nicholas T Farr, Hussain Alenezi, Gavin I Welsh and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in iScience, 2026. 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

12 authors.

Caroline S TaylorSchool of Chemical, Materials and Biological Engineering, The University of Sheffield, Sheffield S3 7HQ, UK.
Hamta MajdDepartment of Mechanical Engineering, University College London, London WC1E 7JE, UK.
David A GregorySchool of Chemical, Materials and Biological Engineering, The University of Sheffield, Sheffield S3 7HQ, UK.
Annabelle FrickerSchool of Chemical, Materials and Biological Engineering, The University of Sheffield, Sheffield S3 7HQ, UK.
Syed Mohammad Daniel Syed MohamedSchool of Chemical, Materials and Biological Engineering, The University of Sheffield, Sheffield S3 7HQ, UK.
Jonathan HinchcliffeSchool of Chemical, Materials and Biological Engineering, The University of Sheffield, Sheffield S3 7HQ, UK.
Emmanuel AsareSchool of Chemical, Materials and Biological Engineering, The University of Sheffield, Sheffield S3 7HQ, UK.
Nicholas T FarrSchool of Chemical, Materials and Biological Engineering, The University of Sheffield, Sheffield S3 7HQ, UK.
Hussain AleneziDepartment of Mechanical Engineering, University College London, London WC1E 7JE, UK.
Gavin I WelshBristol Renal, Translational Health Sciences, Bristol Medical School, University of Bristol, Bristol BS1 3NY, UK.
Mohan EdirisingheDepartment of Mechanical Engineering, University College London, London WC1E 7JE, UK.
Ipsita RoySchool of Chemical, Materials and Biological Engineering, The University of Sheffield, Sheffield S3 7HQ, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Finding the ideal biomaterial with all required properties to replace specific tissues is an unmet challenge. In this study, twin-layered fibers with two well-established medical biomaterials, PHAs and PLA, have been produced via pressurized gyration and characterized thoroughly for surface properties, mechanical properties, and

Indexed as

core-sheathfiberPHAPLApressurized gyrationtissue engineeringtwin layer

Identifiers

PMID42761480
PMCPMC13586692

What OpenQuestion holds

Textmetadata
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.