Evidence map›Paper›PMID 28893721›Full record

ArticleEnvironmental health perspectives2017

Exposure to Ambient Particulate Matter during Specific Gestational Periods Produces Adverse Obstetric Consequences in Mice.

Jason L Blum, Lung-Chi Chen, Judith T Zelikoff

Abstract read
In one paragraph

Article in Environmental health perspectives, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing 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

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

  1. Pooled it
  2. PMArchives of toxicology · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Therapeutic nanoparticle safety in pregnancy: Bridging knowledge gaps with environmental insights and a translational roadmap.Journal of controlled release : official journal of the Controlled Release Society · 2025
    Review
  7. Associations among PMEnvironmental research communications · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Exposure to Chloramine and Chloroform in Tap Water and Adverse Perinatal Outcomes in Shanghai.International journal of environmental research and public health · 2022
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

3 authors.

Jason L BlumDepartment of Environmental Medicine, New York University School of Medicine , Tuxedo, New York, USA.
Lung-Chi ChenDepartment of Environmental Medicine, New York University School of Medicine , Tuxedo, New York, USA.
Judith T ZelikoffDepartment of Environmental Medicine, New York University School of Medicine , Tuxedo, New York, USA.

Funding

RESEARCH IN ENVIRONMENTAL HEALTH SCIENCES (CENTER GRANT)P30ES000260 · NIEHS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI GOLDBERG, JUDITH D. · 1985 to 2020
$26.1M
NIEHS NIH HHS P30 ES000260
6 · The paper itself

Abstract

backgroundEpidemiological studies associate inhalation of fine-sized particulate matter (PM

objectivesOur objective was to provide experimental plausibility for epidemiological observations by testing the hypothesis that exposure to PM

methodsFor the first study, timed-pregnant B6C3F1 mice were exposed to concentrated ambient PM

resultsIn the first experiment, exposure to 160 μg CAPs/m

conclusionsAdverse PM

Indexed as

Infant, Low Birth WeightInhalation ExposureMaternal ExposureAir PollutantsAnimalsBirth WeightDisease Models, AnimalFemaleHumansMiceParticle SizeParticulate MatterPregnancyPremature BirthTime FactorsAir PollutantsParticulate Matter

Identifiers

PMID28893721
PMCPMC5744697

What OpenQuestion holds

Textmetadata
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.