Evidence map›Paper›PMID 33154990›Full record

ArticleEnvironmental epidemiology (Philadelphia, Pa.)2020

Prenatal exposure to particulate air pollution and gestational age at delivery in Massachusetts neonates 2001-2015: A perspective of causal modeling and health disparities.

Xinye Qiu, Kelvin C Fong, Liuhua Shi, Stefania Papatheodorou, Qian Di, Allan Just, Anna Kosheleva, Carmen Messerlian, Joel D Schwartz

Open access · goldAbstract read
In one paragraph

Article in Environmental epidemiology (Philadelphia, Pa.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 27% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Climate Change-Related Environmental Exposures and Perinatal and Maternal Health Outcomes in the U.S.International journal of environmental research and public health · 2023
    Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Exposure toEnvironmental health perspectives · 2022
    Article
  9. Long-term exposure to PMEnvironment international · 2022
    Article
  10. Climate change, women's health, and the role of obstetricians and gynecologists in leadership.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2021
    Article
  11. 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

9 authors at 4 institutions in 2 countries.

Xinye QiuDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Kelvin C FongSchool of the Environment, Yale University, New Haven, Connecticut.
Liuhua ShiDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Stefania PapatheodorouDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Qian DiSchool of Medicine, Tsinghua University, Beijing, China.
Allan JustIcahn School of Medicine at Mount Sinai, New York City, New York.
Anna KoshelevaDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Carmen MesserlianDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Joel D SchwartzDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Harvard University · USIcahn School of Medicine at Mount Sinai · USTsinghua University · CNYale University · US

Funding

Translational Research Support CoreP30ES000002 · NIEHS · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI JAIME ELIZABETH HART · 1985 to 2026
$44.6M
NIEHS NIH HHS P30 ES000002
6 · The paper itself

Abstract

There is a lack of evidence on causal effects of air pollution on gestational age (GA) at delivery.

methodsInverse probability weighting (IPW) quantile regression was applied to derive causal marginal population-level GA reduction for GA percentiles associated with increased ambient particulate matter with diameter <2.5 μm (PM

resultsFor neonates at 2.5th, 10th, 25th, 50th, 75th, and 97.5th percentiles of GA at delivery, we estimated an adjusted GA reduction of 4.2 days (95% confidence interval [CI] = 3.4, 5.0), 1.9 days (1.6, 2.1), 1.2 days (1.0, 1.4), 0.82 days (0.72, 0.92), 0.74 days (0.54, 0.94), and 0.54 days (0.15, 0.93) for each 5 μg/m3 increment in third trimester average PM

conclusionsPrenatal exposure to PM

Indexed as

Air pollutionGestational ageHealth disparityInverse probability weightingQuantile regressionTemperature

Identifiers

PMID33154990
PMCPMC7595249
OpenAlexW3086508925

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.