Evidence map›Paper›PMID 38835505›Full record

ArticleJournal of the American Statistical Association2024

Heterogeneous Distributed Lag Models to Estimate Personalized Effects of Maternal Exposures to Air Pollution.

Daniel Mork, Marianthi-Anna Kioumourtzoglou, Marc Weisskopf, Brent A Coull, Ander Wilson

Abstract read
In one paragraph

Article in Journal of the American Statistical Association, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

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

  1. Pooled it
  2. Multi-Tree Model for Precision Environmental Health with Longitudinally Assessed Mixture Exposure.Journal of the Royal Statistical Society. Series C, Applied statistics · 2026
    Article
  3. Article
  4. Article
  5. Distributed lag interaction model with index modification.Biostatistics (Oxford, England) · 2025
    Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. 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

5 authors.

Daniel MorkDepartment of Biostatistics, Harvard T.H. Chan School of Public Health.
Marianthi-Anna KioumourtzoglouDepartment of Environmental Health Sciences, Columbia University Mailman School of Public Health.
Marc WeisskopfDepartment of Environmental Health, Harvard T.H. Chan School of Public Health.
Brent A CoullDepartment of Biostatistics, Harvard T.H. Chan School of Public Health.
Ander WilsonDepartment of Statistics, Colorado State University.

Funding

Translational Research Support CoreP30ES000002 · NIEHS · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI JAIME ELIZABETH HART · 1985 to 2026
$44.6M
Spatial patterns of metals and metal mixtures in drinking waterP42ES030990 · NIEHS · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI LU, QUAN · 2020 to 2024
$8.3M
National Cohort Studies of Alzheimer's Disease, Related Dementias and Air PollutionR01AG066793 · NIA · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI ZANOBETTI, ANTONELLA · 2020 to 2025
$4.2M
Air Pollution and Pregnancy LossR01ES029943 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI DEYSSENROTH, MAYA ARIANE, KIOUMOURTZOGLOU, MARIANTHI-ANNA · 2020 to 2024
$2.5M
Methods for Data Integration and Risk Assessment for Environmental MixturesR01ES028811 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI COULL, BRENT ANDREW, GENNINGS, CHRIS · 2018 to 2021
$1.9M
EPA 839278EPA R835872NIA NIH HHS R01 AG066793NIEHS NIH HHS P30 ES000002NIEHS NIH HHS P42 ES030990NIEHS NIH HHS R01 ES028811NIEHS NIH HHS R01 ES029943
6 · The paper itself

Abstract

Children's health studies support an association between maternal environmental exposures and children's birth outcomes. A common goal is to identify critical windows of susceptibility-periods during gestation with increased association between maternal exposures and a future outcome. The timing of the critical windows and magnitude of the associations are likely heterogeneous across different levels of individual, family, and neighborhood characteristics. Using an administrative Colorado birth cohort we estimate the individualized relationship between weekly exposures to fine particulate matter (PM

Indexed as

Bayesian additive regression treescritical windows of susceptibilitydistributed lag modelseffect heterogeneityenvironmental health

Identifiers

PMID38835505
PMCPMC11147136

What OpenQuestion holds

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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.