Evidence map›Paper›PMID 31191182›Full record

ReviewContrast media & molecular imaging2019

Nanoparticle-Based Paramagnetic Contrast Agents for Magnetic Resonance Imaging.

Juan Pellico, Connor M Ellis, Jason J Davis

Open access · hybridAbstract readReview
In one paragraph

Review in Contrast media & molecular imaging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
6.2field-weighted citation impact, top 2% of its field
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

36 citing papers in PubMed, 126 citations in OpenAlex.

  1. Slowing Down Water: Enhanced and Cation-responsive MRI Contrast.Angewandte Chemie (International ed. in English) · 2026
    Article
  2. Article
  3. Carbon Dots Meet MRI: Metal Doping for a Smart Contrast Agent Design.International journal of molecular sciences · 2026
    Review
  4. Review
  5. Review
  6. Role of Nanoformulations in the Treatment of Lung Cancer.Recent patents on nanotechnology · 2025
    Review
  7. Review
  8. Nano Delivery System for Atherosclerosis.Journal of functional biomaterials · 2024
    Review
  9. Article
  10. Review
  11. Application of HInternational journal of molecular sciences · 2024
    Article
  12. Article
  13. Article
  14. Review
  15. Review
  16. Article
  17. Review
  18. New anti-cancer explorations based on metal ions.Journal of nanobiotechnology · 2022
    Review
  19. Review
  20. Protein Based Biomaterials for Therapeutic and Diagnostic Applications.Progress in biomedical engineering (Bristol, England) · 2022
    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 at 1 institution in 1 country.

Juan PellicoDepartment of Chemistry, University of Oxford, South Parks Road, Oxford OX1 3QZ, UK.ORCID 0000-0003-2787-8641
Connor M EllisDepartment of Chemistry, University of Oxford, South Parks Road, Oxford OX1 3QZ, UK.ORCID 0000-0002-6091-2189
Jason J DavisDepartment of Chemistry, University of Oxford, South Parks Road, Oxford OX1 3QZ, UK.ORCID 0000-0001-7734-1709
University of Oxford · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Magnetic resonance imaging (MRI) is a noninvasive medical imaging modality that is routinely used in clinics, providing anatomical information with micron resolution, soft tissue contrast, and deep penetration. Exogenous contrast agents increase image contrast by shortening longitudinal (

Indexed as

AnimalsContrast MediaGadoliniumHumansLanthanoid Series ElementsMagnetic Resonance ImagingNanoparticlesContrast MediaGadoliniumLanthanoid Series Elements

Identifiers

PMID31191182
PMCPMC6525923
OpenAlexW2944730185

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.