Evidence map›Paper›PMID 27993110›Full record

ReviewCurrent medicinal chemistry2017

Recent Advances of Graphene-based Hybrids with Magnetic Nanoparticles for Biomedical Applications.

Nuria Alegret, Alejandro Criado, Maurizio Prato

Abstract readReview
In one paragraph

Review in Current medicinal chemistry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
–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

20 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Application of nanoparticles in breast cancer treatment: a systematic review.Naunyn-Schmiedeberg's archives of pharmacology · 2024
    Pooled it
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  17. Surface Modification of Magnetic Iron Oxide Nanoparticles.Nanomaterials (Basel, Switzerland) · 2018
    Review
  18. Iron Oxide Nanoparticles in Photothermal Therapy.Molecules (Basel, Switzerland) · 2018
    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

3 authors.

Nuria AlegretCarbon Nanobiotechnology Group, CIC biomaGUNE, San Sebastián, Gipuzkoa. Spain.
Alejandro CriadoCarbon Nanobiotechnology Group, CIC biomaGUNE, San Sebastián, Gipuzkoa. Spain.
Maurizio PratoCarbon Nanobiotechnology Group, CIC biomaGUNE, San Sebastián, Gipuzkoa. Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The utilization of graphene-based nanomaterials combined with magnetic nanoparticles offers key benefits in the modern biomedicine. In this minireview, we focus on the most recent advances in hybrids of magnetic graphene derivatives for biomedical applications. We initially analyze the several methodologies employed for the preparation of graphene-based composites with magnetic nanoparticles, more specifically the kind of linkage between the two components. In the last section, we focus on the biomedical applications where these magnetic-graphene hybrids are essential and pay special attention on how the addition of graphene improves the resulting devices in magnetic resonance imaging, controlled drug delivery, magnetic photothermal therapy and cellular separation and isolation. Finally, we highlight the use of these magnetic hybrids as multifunctional material that will lead to a next generation of theranostics.

Indexed as

AnimalsCell SeparationDrug Delivery SystemsGraphiteHumansHyperthermia, InducedMagnetic Resonance ImagingMagnetite NanoparticlesNanostructuresNanotechnologyPhototherapyGraphiteMagnetite Nanoparticlesbiomedical applicationcellular separation.drug deliveryGraphenegraphene derivativesmagnetic nanoparticlesmagnetic resonance imagingphotothermal therapy

Identifiers

PMID27993110
PMCPMC5543568

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.