Evidence map›Paper›PMID 28789940›Full record

ArticleRegulatory toxicology and pharmacology : RTP2017

A quantitative framework to group nanoscale and microscale particles by hazard potency to derive occupational exposure limits: Proof of concept evaluation.

Nathan M Drew, Eileen D Kuempel, Ying Pei, Feng Yang

Abstract read
In one paragraph

Article in Regulatory toxicology and pharmacology : RTP, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
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  4. Article
  5. Review
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

4 authors.

Nathan M DrewNational Institute for Occupational Safety and Health (NIOSH), Nanotechnology Research Center (NTRC), Cincinnati, OH 45226, USA. Electronic address: vom8@cdc.gov.
Eileen D KuempelNational Institute for Occupational Safety and Health (NIOSH), Nanotechnology Research Center (NTRC), Cincinnati, OH 45226, USA.
Ying PeiWest Virginia University, Department of Industrial and Management System Engineering, Morgantown, WV 26506, USA.
Feng YangWest Virginia University, Department of Industrial and Management System Engineering, Morgantown, WV 26506, USA.

Funding

XENOBIOTIC BIOTRANSFORMATION AND DISPOSITIONP30ES007033 · NIEHS · UNIVERSITY OF WASHINGTON · PI ALI SHOJAIE · 1995 to 2026
$42.5M
Mechanisms of non-IgE Mast Cell Activation by Environmental ParticulatesR01ES019311 · NIEHS · UNIVERSITY OF COLORADO DENVER · PI BROWN, JARED MICHAEL · 2010 to 2024
$7.0M
Modulation of Qdot nanoparticle toxicity by glutathione in GCL transgenic miceR01ES016189 · NIEHS · UNIVERSITY OF WASHINGTON · PI KAVANAGH, TERRANCE J · 2007 to 2010
$1.9M
Hazard Assessment and Risk Estimation of Inhaled Nanomaterials ExposureRC2ES018741 · NIEHS · UNIVERSITY OF ROCHESTER · PI ELDER, ALISON, OBERDORSTER, GUNTER · 2009 to 2010
$1.4M
Lung Toxicity of Carbon Nanotubes in Models of Pre-Existing Respiratory DiseaseRC2ES018772 · NIEHS · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI BONNER, JAMES CHRISTOPHER · 2009 to 2010
$1.1M
Predictive Toxicological Paradigms to Establish Inhalation Toxicology ModelsRC2ES018766 · NIEHS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI NEL, ANDRE ELIAS · 2009 to 2010
$1.1M
Novel approaches to evaluate carbon nanotube health impactsRC1ES018232 · NIEHS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI PINKERTON, KENT ED · 2009 to 2010
$1.0M
Intramural CDC HHS CC999999NIEHS NIH HHS P30 ES007033NIEHS NIH HHS R01 ES016189NIEHS NIH HHS R01 ES019311NIEHS NIH HHS RC1 ES018232NIEHS NIH HHS RC2 ES018772
6 · The paper itself

Abstract

The large and rapidly growing number of engineered nanomaterials (ENMs) presents a challenge to assessing the potential occupational health risks. An initial database of 25 rodent studies including 1929 animals across various experimental designs and material types was constructed to identify materials that are similar with respect to their potency in eliciting neutrophilic pulmonary inflammation, a response relevant to workers. Doses were normalized across rodent species, strain, and sex as the estimated deposited particle mass dose per gram of lung. Doses associated with specific measures of pulmonary inflammation were estimated by modeling the continuous dose-response relationships using benchmark dose modeling. Hierarchical clustering was used to identify similar materials. The 18 nanoscale and microscale particles were classified into four potency groups, which varied by factors of approximately two to 100. Benchmark particles microscale TiO

Indexed as

Occupational ExposureAnimalsLungNanostructuresSilicon DioxideTitaniumSilicon DioxideTitaniumtitanium dioxideBenchmark dose modelingHazard potencyHierarchical clusteringNanomaterialOccupational exposure limitPhysicochemical propertiesPredictive modelingPulmonary inflammationRandom forestRisk assessment

Identifiers

PMID28789940
PMCPMC5875420

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.