Evidence map›Paper›PMID 40809357›Full record

ArticleRoyal Society open science2025

Tube2FEM: a general-purpose highly automated pipeline for flow-related processes in (embedded) tubular objects.

Hani Cheikh Sleiman, Kevin M Moerman, Diana C De Oliveira, Joseph Jacob, Nesrin Mogulkoc, Brian R Davidson, Simon Walker-Samuel, Rebecca J Shipley

Abstract read
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In one paragraph

Article in Royal Society open science, 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

8 authors.

Hani Cheikh SleimanDepartment of Mechanical Engineering, University College London, London, UK.ORCID https://orcid.org/0009-0000-1380-4284
Kevin M MoermanDepartment of Mechanical Engineering, University of Galway, Galway, Ireland.
Diana C De OliveiraDepartment of Mechanical Engineering, University College London, London, UK.
Joseph JacobSatsuma Lab, Hawkes Institute, University College London, London, UK.
Nesrin MogulkocDepartment of Respiratory Medicine, Ege University Hospital, Izmir, Turkey.
Brian R DavidsonWellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS), University College London, London, UK.
Simon Walker-SamuelCentre for Computational Medicine, University College London, London, UK.
Rebecca J ShipleyDepartment of Mechanical Engineering, University College London, London, UK.ORCID https://orcid.org/0000-0002-2818-6228

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper presents an open-source pipeline for simulating flow and flow-related processes in (embedded) tubular structures. Addressing a gap in computational fluid dynamics (CFD) and simulation sciences, it facilitates the transition from raw three-dimensional imaging, graph networks or computer aided design (CAD) models of tubular objects to refined, simulation-ready meshes. This transition, traditionally labour-intensive, is streamlined through a series of innovative steps that include surface mesh processing, centre-line construction, anisotropic mesh generation and volumetric meshing, leading to finite element method (FEM) simulations. The pipeline leverages a range of open-source software and libraries, notably

Indexed as

3D–1D mixed-dimensioncomputational fluid dynamicsconforming meshembedded networkslung airwaysvascular networks

Identifiers

PMID40809357
PMCPMC12344289

What Socratic holds

Textmetadata
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 Socratic graph.