Evidence map›Paper›PMID 22639822›Full record

ArticleInternational journal of environmental health research2012

Combustion-derived nanoparticle exposure and household solid fuel use in Xuanwei and Fuyuan, China.

H Dean Hosgood, Roel Vermeulen, Hu Wei, Boris Reiss, Joseph Coble, Fusheng Wei, Xu Jun, Guoping Wu, Nat Rothman, Qing Lan

Erratum issuedOpen access · greenAbstract read
In one paragraph

Article in International journal of environmental health research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.7field-weighted citation impact, top 29% of its field
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

8 citing papers in PubMed, 19 citations in OpenAlex.

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4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

10 authors at 4 institutions in 3 countries.

H Dean HosgoodDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA. hosgoodd@mail.nih.gov
Roel Vermeulen
Hu Wei
Boris Reiss
Joseph Coble
Fusheng Wei
Xu Jun
Guoping Wu
Nat Rothman
Qing Lan
National Cancer Institute · USChina National Environmental Monitoring Center · CNDivision of Cancer Epidemiology and GeneticsUtrecht University · NL

Funding

Cancer Risk in Human PopulationsZIACP010136 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI PURDUE, MARK · 2009 to 2025
$36.7M
Intramural NIH HHS Z99 CA999999
6 · The paper itself

Abstract

Combustion-derived nanoparticles (CDNPs) have not been readably measurable until recently. We conducted a pilot study to determine CDNP levels during solid fuel burning. The aggregate surface area of CDNP (μm(2)/cm(3)) was monitored continuously in 15 Chinese homes using varying fuel types (i.e. bituminous coal, anthracite coal, wood) and stove types (i.e. portable stoves, stoves with chimneys, firepits). Information on fuel burning activities was collected and PM(2.5) levels were measured. Substantial exposure differences were observed during solid fuel burning (mean: 228.1 μm(2)/cm(3)) compared to times without combustion (mean: 14.0 μm(2)/cm(3)). The observed levels during burning were reduced by about four-fold in homes with a chimney (mean: 92.1 μm(2)/cm(3); n = 9), and effects were present for all fuel types. Each home's CDNP measurement was only moderately correlated with the respective PM(2.5) measurements (r (2) = 0.43; p = 0.11). Our results indicate that household coal and wood burning contributes to indoor nanoparticle levels, which are not fully reflected in PM(2.5) measurements.

Indexed as

CookingHeatingAir PollutantsAir Pollution, IndoorChinaCoalEnvironmental MonitoringNanoparticlesPilot ProjectsSurface PropertiesWoodAir PollutantsCoal

Identifiers

PMID22639822
PMCPMC4231791
OpenAlexW2145252623

What OpenQuestion holds

Textmetadata
LicenceTDM
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.