Evidence map›Paper›PMID 39205672›Full record

ArticleMolecular systems design & engineering2024

Two conjectures on 3D Voronoi structures: a toolkit with biomedical case studies.

Lucy Todd, Matthew H W Chin, Marc-Olivier Coppens

Abstract read
In one paragraph

Article in Molecular systems design & engineering, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. LION Data: A roaring transformation in data visualisation.Computers & chemical engineering · 2025
    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

3 authors.

Lucy ToddCentre for Nature Inspired Engineering & Department of Chemical Engineering, University College London Torrington Place London WC1E 7JE United Kingdom m.coppens@ucl.ac.uk.ORCID https://orcid.org/0009-0009-8669-7075
Matthew H W ChinCentre for Nature Inspired Engineering & Department of Chemical Engineering, University College London Torrington Place London WC1E 7JE United Kingdom m.coppens@ucl.ac.uk.ORCID https://orcid.org/0000-0003-1633-7786
Marc-Olivier CoppensCentre for Nature Inspired Engineering & Department of Chemical Engineering, University College London Torrington Place London WC1E 7JE United Kingdom m.coppens@ucl.ac.uk.ORCID https://orcid.org/0000-0002-1810-2537

Funding

NGTC - UCLOT2CA278730 · NCI · UNIVERSITY COLLEGE LONDON · PI PULE, MARTIN · 2022 to 2024
$3.6M
Cancer Research UK CGCATF-2021/100014NCI NIH HHS OT2 CA278730
6 · The paper itself

Abstract

3D Voronoi scaffolds are widely applied in the field of additive manufacturing as they are known for their light weight structural resilience and share many topological similarities to various natural (bone, tumours, lymph node) and synthetic environments (foam, functionally gradient porous materials). Unfortunately, the structural design features that promote these topological similarities (such as the number of vertices) are often unpredictable and require the trial and error of varying design features to achieve the desired 3D Voronoi structure. This article provides a toolkit, consisting of equations, based on over 12 000 3D Voronoi structures. These equations allow design features, such as the number of generating points (

Identifiers

PMID39205672
PMCPMC11348831

What OpenQuestion holds

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Registered trials

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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.