Evidence map›Paper›PMID 23865044›Full record

ReviewBioMed research international2013

Recent advances in particulate matter and nanoparticle toxicology: a review of the in vivo and in vitro studies.

Abderrahim Nemmar, Jørn A Holme, Irma Rosas, Per E Schwarze, Ernesto Alfaro-Moreno

Abstract readReview
In one paragraph

Review in BioMed research international, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 108 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
108citing 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

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

  1. Pooled it
  2. Early Gestational Wildfire-Related PMInternational journal of environmental research and public health · 2026
    Article
  3. Review
  4. Long-term exposure to PMAir quality, atmosphere, & health · 2026
    Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Association Between Particulate Matter Exposure and Chronic Rhinosinusitis.Journal of rhinology : official journal of the Korean Rhinologic Society · 2023
    Review
  18. Article
  19. Review
  20. Article

48 more citing papers are in PubMed but not listed here.

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.

Abderrahim NemmarDepartment of Physiology, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain 17666, UAE.
Jørn A Holme
Irma Rosas
Per E Schwarze
Ernesto Alfaro-Moreno

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epidemiological and clinical studies have linked exposure to particulate matter (PM) to adverse health effects, which may be registered as increased mortality and morbidity from various cardiopulmonary diseases. Despite the evidence relating PM to health effects, the physiological, cellular, and molecular mechanisms causing such effects are still not fully characterized. Two main approaches are used to elucidate the mechanisms of toxicity. One is the use of in vivo experimental models, where various effects of PM on respiratory, cardiovascular, and nervous systems can be evaluated. To more closely examine the molecular and cellular mechanisms behind the different physiological effects, the use of various in vitro models has proven to be valuable. In the present review, we discuss the current advances on the toxicology of particulate matter and nanoparticles based on these techniques.

Indexed as

AnimalsDiseaseHumansNanoparticlesParticle SizeParticulate MatterParticulate Matter

Identifiers

PMID23865044
PMCPMC3705851

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.