Evidence map›Paper›PMID 42798592›Full record

ArticleFrontiers in bioengineering and biotechnology2026

Translating

Lucy Dascombe, David A Chorlton, Tim Nichol, Christine L Le Maitre, Nicola Aberdein

Abstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 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

5 authors.

Lucy DascombeBiomolecular Sciences Research Centre, Sheffield Hallam University, Sheffield, United Kingdom.
David A ChorltonDepartment of Physics and Astronomy, University of Manchester, Manchester, United Kingdom.
Tim NicholBiomolecular Sciences Research Centre, Sheffield Hallam University, Sheffield, United Kingdom.
Christine L Le MaitreSchool of Medicine and Population Health, University of Sheffield, Sheffield, United Kingdom.
Nicola AberdeinBiomolecular Sciences Research Centre, Sheffield Hallam University, Sheffield, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Personalised medicine is an expanding area of medical research, in which patient-specific physiology informs clinical interventions. The personalisation of skeletal-based medical implants through 3D imaging and additive manufacturing (AM) has the potential to improve patient outcomes and reduce the likelihood of implant rejections. Currently, full-body computed tomography (CT) scanners obtain images at the limit of resolution of intricate internal bone architecture such as trabecular bone (Tb), which makes them difficult to map with precision in humans. Therefore, we have proposed the development of a 3D printing workflow which utilises scaled high-resolution micro-CT outputs that maintain bone topography in the final 3D print, specifically the retention of physiologically relevant trabeculae. In this study, we evaluate 3D model generation and rendering parameters that are necessary to maintain anatomical fidelity while ensuring printability. Meshing algorithm, computer-aided design (CAD) rendering tools, and the resulting surface tessellation of

Indexed as

bonecomputer-assisted designmicro-computational tomographythree-dimensional modelthree-dimensional printing

Identifiers

PMID42798592
PMCPMC13612433

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.