Evidence map›Paper›PMID 32895522›Full record

ReviewNature nanotechnology2020

A framework for designing delivery systems.

Wilson Poon, Benjamin R Kingston, Ben Ouyang, Wayne Ngo, Warren C W Chan

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature nanotechnology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 154 papers.

0numbers the graph read from it
0cells of the map it votes in
154citing 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

154 citing papers in PubMed.

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94 more citing papers are in PubMed but not listed here.

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

5 authors.

Wilson Poon *Institute of Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada.ORCID http://orcid.org/0000-0003-2192-3077
Benjamin R Kingston *Institute of Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada.ORCID http://orcid.org/0000-0003-1491-0366
Ben OuyangInstitute of Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada.ORCID http://orcid.org/0000-0003-1331-7093
Wayne NgoInstitute of Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada.
Warren C W ChanInstitute of Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada. warren.chan@utoronto.ca.ORCID http://orcid.org/0000-0001-5435-4785

Funding

CIHR CPG-146468CIHR FDN-159932CIHR MOP-130143
6 · The paper itself

Abstract

The delivery of medical agents to a specific diseased tissue or cell is critical for diagnosing and treating patients. Nanomaterials are promising vehicles to transport agents that include drugs, contrast agents, immunotherapies and gene editors. They can be engineered to have different physical and chemical properties that influence their interactions with their biological environments and delivery destinations. In this Review Article, we discuss nanoparticle delivery systems and how the biology of disease should inform their design. We propose developing a framework for building optimal delivery systems that uses nanoparticle-biological interaction data and computational analyses to guide future nanomaterial designs and delivery strategies.

Indexed as

AnimalsArtificial IntelligenceDrug CarriersDrug Delivery SystemsHumansNanoparticlesNanotechnologyDrug Carriers

Identifiers

What OpenQuestion holds

Textmetadata
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.