Evidence map›Paper›PMID 39473620›Full record

ArticleEnvironment & health (Washington, D.C.)2023

Oxidative Potential of Metal-Containing Nanoparticles in Coal Fly Ash Generated from Coal-Fired Power Plants in China.

Miao Xu, Zuoshun Niu, Chang Liu, Jia Yan, Bo Peng, Yi Yang

Abstract read
In one paragraph

Article in Environment & health (Washington, D.C.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. PMAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. The Constituent-Dependent Translocation Mechanism for PMEnvironment & health (Washington, D.C.) · 2024
    Article
  7. 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

6 authors.

Miao XuKey Laboratory of Geographic Information Science of the Ministry of Education, School of Geographic Sciences, East China Normal University, 500 Dongchuan Road, Shanghai 200241, China.
Zuoshun NiuKey Laboratory of Geographic Information Science of the Ministry of Education, School of Geographic Sciences, East China Normal University, 500 Dongchuan Road, Shanghai 200241, China.
Chang LiuKey Laboratory of Geographic Information Science of the Ministry of Education, School of Geographic Sciences, East China Normal University, 500 Dongchuan Road, Shanghai 200241, China.
Jia YanKey Laboratory of Geographic Information Science of the Ministry of Education, School of Geographic Sciences, East China Normal University, 500 Dongchuan Road, Shanghai 200241, China.
Bo PengKey Laboratory of Geographic Information Science of the Ministry of Education, School of Geographic Sciences, East China Normal University, 500 Dongchuan Road, Shanghai 200241, China.
Yi YangKey Laboratory of Geographic Information Science of the Ministry of Education, School of Geographic Sciences, East China Normal University, 500 Dongchuan Road, Shanghai 200241, China.ORCID https://orcid.org/0000-0002-6794-2241

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The overwhelming magnitude of coal-fired power plants has caused an inevitable release of metal-containing nanoparticles (MNPs) into the atmosphere, which may be inhaled into the respiratory system and cause oxidative stress. In this study, MNPs and oxidative potential (OP) were analyzed in <1 μm fractions of 56 coal fly ashes collected from Chinese CFPPs. The particle number concentrations (PNCs) of Fe- and Ti-containing NPs, as the dominant MNPs in CFAs, were in the range of 1.5 × 10

Identifiers

PMID39473620
PMCPMC11504612

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.