Evidence map›Paper›PMID 34050552›Full record

SynthesisJournal of applied toxicology : JAT2022

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

Blanka Halamoda-Kenzaoui, Etienne Rolland, Jacopo Piovesan, Antonio Puertas Gallardo, Susanne Bremer-Hoffmann

Abstract readSystematic Review
In one paragraph

Synthesis in Journal of applied toxicology : JAT, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Review
  6. 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

5 authors.

Blanka Halamoda-KenzaouiJoint Research Centre (JRC), European Commission, Ispra, Italy.ORCID 0000-0002-6336-6021
Etienne RollandJoint Research Centre (JRC), European Commission, Ispra, Italy.ORCID 0000-0002-0980-4318
Jacopo PiovesanJoint Research Centre (JRC), European Commission, Ispra, Italy.
Antonio Puertas GallardoJoint Research Centre (JRC), European Commission, Ispra, Italy.ORCID 0000-0003-3457-4777
Susanne Bremer-HoffmannJoint Research Centre (JRC), European Commission, Ispra, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

AutomationHumansMass ScreeningNanostructuresPublic HealthReproducibility of Resultsautomation toolsknowledge managementnanomedicinesquality evaluationsystematic review automationtoxicity of nanomaterials

Identifiers

PMID34050552
PMCPMC9292569

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.