Evidence map›Paper›PMID 41536585›Full record

ReviewACS applied nano materials2026

Large-Scale Meta-Analysis of Nanomaterials Toxicity Based on Natural Language Processing of Scientific Articles.

Amauri J Paula, Romana Petry, James M Almeida, André A Caetano, José Sales, Odair P Ferreira, Diego S T Martinez, Henry J Kobs, Andreia F Faria

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in ACS applied nano materials, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Amauri J PaulaSolid-Biological Interface Group (SolBIN), Aeronautics Institute of Technology - ITA, São José dos Campos 12228-900, SP, Brazil.ORCID https://orcid.org/0000-0002-3113-2597
Romana PetryBrazilian Nanotechnology National Laboratory (LNNano), Brazilian Center for Research in Energy and Materials (CNPEM), Campinas 13083-100, SP, Brazil.
James M AlmeidaIlum School of Science, Brazilian Center for Research in Energy and Materials (CNPEM), Campinas 13087-548, SP, Brazil.ORCID https://orcid.org/0000-0002-3126-7619
André A CaetanoIlum School of Science, Brazilian Center for Research in Energy and Materials (CNPEM), Campinas 13087-548, SP, Brazil.ORCID https://orcid.org/0009-0003-4442-0082
José SalesIlum School of Science, Brazilian Center for Research in Energy and Materials (CNPEM), Campinas 13087-548, SP, Brazil.
Odair P FerreiraLaboratory of Advanced Functional Materials (LaMFA), Department of Chemistry, State University of Londrina (UEL), Londrina 86055-900, SP, Brazil.
Diego S T MartinezBrazilian Nanotechnology National Laboratory (LNNano), Brazilian Center for Research in Energy and Materials (CNPEM), Campinas 13083-100, SP, Brazil.ORCID https://orcid.org/0000-0002-0086-3055
Henry J KobsEngineering School of Sustainable Infrastructure & Environment, Department of Environmental Engineering Sciences, University of Florida, Gainesville 32611-6580, Florida, United States.ORCID https://orcid.org/0009-0007-9834-6235
Andreia F FariaEngineering School of Sustainable Infrastructure & Environment, Department of Environmental Engineering Sciences, University of Florida, Gainesville 32611-6580, Florida, United States.ORCID https://orcid.org/0000-0001-7473-040X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Natural language processing (NLP) pipelines can mine the nanotoxicology literature at a scale and resolution that cannot be achieved by manual curation. Here, we established a NLP pipeline that coupled topic modeling and end point-specific extraction LLM prompts to convert ∼10

Indexed as

AgEscherichia colilarge language modelsnanoparticlesnanotoxicologynatural language processingStaphylococcus aureusZnO

Identifiers

PMID41536585
PMCPMC12797190

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.