Evidence map›Paper›PMID 32486431›Full record

ArticleNanomaterials (Basel, Switzerland)2020

Superparamagnetic Iron Oxide Nanoparticles Modified with Silica Layers as Potential Agents for Lung Cancer Treatment.

Katarzyna Reczyńska, Marta Marszałek, Arkadiusz Zarzycki, Witold Reczyński, Kamil Kornaus, Elżbieta Pamuła, Wojciech Chrzanowski

Abstract read
In one paragraph

Article in Nanomaterials (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Treatment of lung diseasesMaterials today. Bio · 2025
    Review
  6. Article
  7. Review
  8. Article
  9. Review
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  11. Article
  12. Article
  13. Review
  14. Article
  15. Review
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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

7 authors.

Katarzyna ReczyńskaFaculty of Materials Science and Ceramics, AGH University of Science and Technology, Al. Mickiewicza 30, 30-059 Kraków, Poland.
Marta MarszałekInstitute of Nuclear Physics, Polish Academy of Sciences, ul. Radzikowskiego 152, 31-342 Kraków, Poland.ORCID 0000-0002-6135-940X
Arkadiusz ZarzyckiInstitute of Nuclear Physics, Polish Academy of Sciences, ul. Radzikowskiego 152, 31-342 Kraków, Poland.ORCID 0000-0003-0787-0140
Witold ReczyńskiFaculty of Materials Science and Ceramics, AGH University of Science and Technology, Al. Mickiewicza 30, 30-059 Kraków, Poland.
Kamil KornausFaculty of Materials Science and Ceramics, AGH University of Science and Technology, Al. Mickiewicza 30, 30-059 Kraków, Poland.
Elżbieta PamułaFaculty of Materials Science and Ceramics, AGH University of Science and Technology, Al. Mickiewicza 30, 30-059 Kraków, Poland.ORCID 0000-0002-0464-6189
Wojciech ChrzanowskiSydney Nano Institute, Faculty of Medicine and Health, Sydney School of Pharmacy, The University of Sydney, Pharmacy and Bank Building, Camperdown, NSW 2006, Australia.

Funding

Narodowe Centrum Nauki 2014/14/M/ST5/00649
6 · The paper itself

Abstract

Superparamagnetic iron oxide nanoparticles (SPIONs) are promising drug delivery carriers and hyperthermia agents for the treatment of cancer. However, to ensure their safety in vivo, SPIONs must be modified in order to prevent unwanted iron release. Thus, SPIONs were coated with silica layers of different morphologies: non-porous (@SiO

Indexed as

Atomic Force Microscopycontrolled drug releasedrug deliveryiron releaselung cancernano-bio-characterizationnanoformualtionsnanoparticlessilica coatingsuperparamagnetic iron oxide nanoparticles (SPIONs)

Identifiers

PMID32486431
PMCPMC7353209

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.