Evidence map›Paper›PMID 41079972›Full record

ArticleNonlinear dynamics2025

Swimming dynamics of screw-shaped untethered magnetic robots in confined spaces.

Luuc de Jongh, Anke Klingner, Leendert-Jan W Ligtenberg, Marcus C J de Boer, Jaap van der Kooij, Roger Lomme, Dorothee Wasserberg, H Remco Liefers, Pascal Jonkheijm, Michiel C Warlé and 1 more

Abstract read
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In one paragraph

Article in Nonlinear dynamics, 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

11 authors.

Luuc de Jongh *RAM-Robotics and Mechatronics, University of Twente, 7500 AE Enschede, The Netherlands.
Anke Klingner *Department of Physics, German University in Cairo, El-Tagamoa El-Khames, New Cairo, Cairo 11835 Egypt.ORCID https://orcid.org/0000-0002-2426-433X
Leendert-Jan W LigtenbergRAM-Robotics and Mechatronics, University of Twente, 7500 AE Enschede, The Netherlands.ORCID https://orcid.org/0009-0001-1960-5283
Marcus C J de BoerRAM-Robotics and Mechatronics, University of Twente, 7500 AE Enschede, The Netherlands.ORCID https://orcid.org/0009-0007-2366-0625
Jaap van der KooijRAM-Robotics and Mechatronics, University of Twente, 7500 AE Enschede, The Netherlands.
Roger LommeRadboud University Medical Center, 6525 GA Nijmegen, The Netherlands.ORCID https://orcid.org/0000-0002-4856-9234
Dorothee WasserbergLipoCoat B.V., 7521 AE Enschede, The Netherlands.ORCID https://orcid.org/0000-0002-1493-2971
H Remco LiefersTechnical Medical Centre, University of Twente, 7500 AE Enschede, The Netherlands.ORCID https://orcid.org/0009-0006-2149-3731
Pascal JonkheijmLipoCoat B.V., 7521 AE Enschede, The Netherlands.ORCID https://orcid.org/0000-0001-6271-0049
Michiel C WarléRadboud University Medical Center, 6525 GA Nijmegen, The Netherlands.ORCID https://orcid.org/0000-0002-1151-4571
Islam S M KhalilRAM-Robotics and Mechatronics, University of Twente, 7500 AE Enschede, The Netherlands.ORCID https://orcid.org/0000-0003-0617-088X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In confined environments, the propulsion speed of torque-driven helical untethered magnetic robots (UMRs) depends on vessel diameter and helical pitch. This phenomenon likely affects the swimming speed of these robots when navigating Supplementary Information: The online version contains supplementary material available at 10.1007/s11071-025-11646-7.

Indexed as

Confinementex vivoSwimming dynamicsUntethered magnetic robotsWireless vascular navigation

Identifiers

PMID41079972
PMCPMC12507991

What OpenQuestion holds

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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.