Evidence map›Paper›PMID 33508708›Full record

SynthesisEnvironment international2021

Application of the navigation guide systematic review methodology to evaluate prenatal exposure to particulate matter air pollution and infant birth weight.

Inyang Uwak, Natalie Olson, Angelica Fuentes, Megan Moriarty, Jairus Pulczinski, Juleen Lam, Xiaohui Xu, Brandie D Taylor, Samuel Taiwo, Kirsten Koehler and 3 more

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Environment international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
4.7field-weighted citation impact, top 4% 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 54 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Article
  6. Review
  7. Review
  8. Review
  9. Article
  10. Review
  11. Review
  12. Air pollution and pregnancy.Seminars in perinatology · 2023
    Article
  13. Article
  14. A Bibliometric Analysis of Literature on Prenatal Exposure to Air Pollution: 1994-2022.International journal of environmental research and public health · 2023
    Review
  15. Article
  16. Article
  17. The Association between Ambient PMInternational journal of environmental research and public health · 2022
    Article
  18. Environmental science & technology · 2022
    Article
  19. Review
  20. 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

13 authors at 4 institutions in 1 country.

Inyang UwakDepartment of Environmental and Occupational Health. Texas A&M University, College Station, TX, USA.
Natalie OlsonDepartment of Veterinary Integrative Biosciences. Texas A&M University, College Station, TX, USA.
Angelica FuentesDepartment of Veterinary Integrative Biosciences. Texas A&M University, College Station, TX, USA.
Megan MoriartyDepartment of Environmental and Occupational Health. Texas A&M University, College Station, TX, USA.
Jairus PulczinskiDepartment of Environmental Health and Engineering. Johns Hopkins University, Baltimore, MD, USA.
Juleen LamDepartment of Health Sciences, California State University, East Bay, Hayward, CA USA.
Xiaohui XuDepartment of Epidemiology and Biostatistics. Texas A&M University, College Station, TX, USA.
Brandie D TaylorDepartment of Epidemiology and Biostatistics. Temple University, Philadelphia, PA, USA.
Samuel TaiwoDepartment of Environmental and Occupational Health. Texas A&M University, College Station, TX, USA.
Kirsten KoehlerDepartment of Environmental Health and Engineering. Johns Hopkins University, Baltimore, MD, USA.
Margaret FosterMedical Sciences Library. Texas A&M University, College Station, TX, USA.
Weihsueh A ChiuDepartment of Veterinary Integrative Biosciences. Texas A&M University, College Station, TX, USA.
Natalie M JohnsonDepartment of Environmental and Occupational Health. Texas A&M University, College Station, TX, USA. Electronic address: nmjohnson@tamu.edu.
Texas A&M University · USJohns Hopkins University · USCalifornia State University, East Bay · USTemple University · US

Funding

Texas A&M Center for Environmental Health Research (TiCER)P30ES029067 · NIEHS · TEXAS A&M UNIVERSITY · PI Sakhila Banu · 2019 to 2026
$13.0M
UCSF Environmental Research and Translation for Health Center (EaRTH Center)P30ES030284 · NIEHS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Rashmi Joglekar · 2020 to 2026
$11.2M
Mechanisms of particulate matter driven infant respiratory diseaseR01ES028866 · NIEHS · TEXAS A&M UNIVERSITY · PI JOHNSON, NATALIE M · 2018 to 2022
$2.1M
NIEHS NIH HHS P30 ES029067NIEHS NIH HHS P30 ES030284NIEHS NIH HHS R01 ES028866
6 · The paper itself

Abstract

Low birth weight is an important risk factor for many co-morbidities both in early life as well as in adulthood. Numerous studies report associations between prenatal exposure to particulate matter (PM) air pollution and low birth weight. Previous systematic reviews and meta-analyses report varying effect sizes and significant heterogeneity between studies, but did not systematically evaluate the quality of individual studies or the overall body of evidence. We conducted a new systematic review to determine how prenatal exposure to PM

Indexed as

Air PollutantsAir PollutionPrenatal Exposure Delayed EffectsAdultBirth WeightEnvironmental ExposureFemaleHumansInfantInfant, NewbornMaternal ExposureParticulate MatterPregnancyAir PollutantsParticulate MatterAir pollutionLow birth weightMeta-analysisNavigation GuideParticulate matterPrenatalRisk of biasSystematic review

Identifiers

PMID33508708
PMCPMC7879710
OpenAlexW3123763214

What Socratic 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 Socratic graph.