Toxic effects of nanomaterials for health applications: How automation can support a systematic review of the literature?

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F22%3A9MHFRHVK" target="_blank" >RIV/00216208:11320/22:9MHFRHVK - isvavai.cz</a>

Result on the web

<a href="https://onlinelibrary.wiley.com/doi/abs/10.1002/jat.4204" target="_blank" >https://onlinelibrary.wiley.com/doi/abs/10.1002/jat.4204</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1002/jat.4204" target="_blank" >10.1002/jat.4204</a>

Result language

angličtina

Original language name

Toxic effects of nanomaterials for health applications: How automation can support a systematic review of the literature?

Original language description

Systematic reviews of the scientific literature can be an important source of information supporting the daily work of the regulators in their decision making, particularly in areas of innovative technologies where the regulatory experience is still limited. Significant research activities in the field of nanotechnology resulted in a huge number of publications in the last decades. However, even if the published data can provide relevant information, scientific articles are often of diverse quality, and it is nearly impossible to manually process and evaluate such amount of data in a systematic manner. In this feasibility study, we investigated to what extent open-access automation tools can support a systematic review of toxic effects of nanomaterials for health applications reported in the scientific literature. In this study, we used a battery of available tools to perform the initial steps of a systematic review such as targeted searches, data curation and abstract screening. This work was complemented with an in-house developed tool that allowed us to extract specific sections of the articles such as the materials and methods part or the results section where we could perform subsequent text analysis. We ranked the articles according to quality criteria based on the reported nanomaterial characterisation and extracted most frequently described toxic effects induced by different types of nanomaterials. Even if further demonstration of the reliability and applicability of automation tools is necessary, this study demonstrated the potential to leverage information from the scientific literature by using automation systems in a tiered strategy.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

—

Continuities

—

Publication year

2022

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Journal of Applied Toxicology [online]

ISSN

1099-1263

e-ISSN

1099-1263

Volume of the periodical

42

Issue of the periodical within the volume

1

Country of publishing house

ES - SPAIN

Number of pages

11

Pages from-to

41-51

UT code for WoS article

000655838200001

EID of the result in the Scopus database

2-s2.0-85106753816