Evidence map›Paper›PMID 36132753›Full record

ReviewNanoscale advances2020

Cancer treatment by magneto-mechanical effect of particles, a review.

Cécile Naud, Caroline Thébault, Marie Carrière, Yanxia Hou, Robert Morel, François Berger, Bernard Diény, Hélène Joisten

Abstract readReview
In one paragraph

Review in Nanoscale advances, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing 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

39 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. External Stimuli-Activable Single-Atom Nanozymes for Bioapplications.Small (Weinheim an der Bergstrasse, Germany) · 2026
    Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Review
  15. Review
  16. Review
  17. Article
  18. Article
  19. Review
  20. 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

8 authors.

Cécile NaudUniv. Grenoble Alpes, CEA, CNRS, Spintec 38000 Grenoble France helene.joisten@cea.fr.
Caroline ThébaultUniv. Grenoble Alpes, CEA, CNRS, Spintec 38000 Grenoble France helene.joisten@cea.fr.
Marie CarrièreUniv. Grenoble Alpes, CEA, CNRS, IRIG-SyMMES 38000 Grenoble France.ORCID https://orcid.org/0000-0001-8446-6462
Yanxia HouUniv. Grenoble Alpes, CEA, CNRS, IRIG-SyMMES 38000 Grenoble France.ORCID https://orcid.org/0000-0002-2991-1030
Robert MorelUniv. Grenoble Alpes, CEA, CNRS, Spintec 38000 Grenoble France helene.joisten@cea.fr.
François BergerBrainTech Lab, U1205, INSERM, Univ. Grenoble Alpes, CHU-Grenoble France.
Bernard DiényUniv. Grenoble Alpes, CEA, CNRS, Spintec 38000 Grenoble France helene.joisten@cea.fr.ORCID https://orcid.org/0000-0002-0575-5301
Hélène JoistenUniv. Grenoble Alpes, CEA, CNRS, Spintec 38000 Grenoble France helene.joisten@cea.fr.ORCID https://orcid.org/0000-0001-8346-8749

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer treatment by magneto-mechanical effect of particles (TMMEP) is a growing field of research. The principle of this technique is to apply a mechanical force on cancer cells in order to destroy them thanks to magnetic particles vibrations. For this purpose, magnetic particles are injected in the tumor or exposed to cancer cells and a low-frequency alternating magnetic field is applied. This therapeutic approach is quite new and a wide range of treatment parameters are explored to date, as described in the literature. This review explains the principle of the technique, summarizes the parameters used by the different groups and reports the main

Identifiers

PMID36132753
PMCPMC9419242

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.