Evidence map›Paper›PMID 35904519›Full record

ArticleEnvironmental health perspectives2022

The Impact of Exposure Measurement Error on the Estimated Concentration-Response Relationship between Long-Term Exposure to

Yaguang Wei, Xinye Qiu, Mahdieh Danesh Yazdi, Alexandra Shtein, Liuhua Shi, Jiabei Yang, Adjani A Peralta, Brent A Coull, Joel D Schwartz

Abstract read
In one paragraph

Article in Environmental health perspectives, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed, 2 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

57 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Long-term exposure to wildfire-related PMThe Lancet. Oncology · 2026
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  6. Review
  7. PMEnvironment & health (Washington, D.C.) · 2026
    Article
  8. Wildfire smoke PMScience advances · 2026
    Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Long-term exposure to PMEnvironmental research · 2025
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Yaguang WeiDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.ORCID 0000-0002-6796-7510
Xinye QiuDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.
Mahdieh Danesh YazdiDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.ORCID 0000-0002-5802-1600
Alexandra ShteinDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.
Liuhua ShiGangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA.ORCID 0000-0001-8165-4644
Jiabei YangDepartment of Biostatistics, School of Public Health, Brown University, Providence, Rhode Island, USA.
Adjani A PeraltaDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.ORCID 0000-0002-2192-198X
Brent A CoullDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.
Joel D SchwartzDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.ORCID 0000-0001-6168-378X

Funding

Translational Research Support CoreP30ES000002 · NIEHS · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI JAIME ELIZABETH HART · 1985 to 2026
$44.6M
Air Pollution and Alzheimer's Disease and Related Dementias: A National StudyR01AG074357 · NIA · EMORY UNIVERSITY · PI STEENLAND, NELSON K · 2021 to 2025
$3.4M
Identifying low dose measurement error corrected effects of multiple pollutants using causal modelingR01ES032418 · NIEHS · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI SCHWARTZ, JOEL D · 2021 to 2024
$1.7M
NIA NIH HHS R01 AG074357NIEHS NIH HHS P30 ES000002NIEHS NIH HHS R01 ES032418
6 · The paper itself

Abstract

backgroundExposure measurement error is a central concern in air pollution epidemiology. Given that studies have been using ambient air pollution predictions as proxy exposure measures, the potential impact of exposure error on health effect estimates needs to be comprehensively assessed.

objectivesWe aimed to generate wide-ranging scenarios to assess direction and magnitude of bias caused by exposure errors under plausible concentration-response relationships between annual exposure to fine particulate matter [PM

methodsIn this simulation study, we use daily

resultsWe simulate 1,000 replicates of each of 162 scenarios investigated. In general, both classical and Berkson errors can bias the concentration-response curve toward the null. The biases remain small even when using three times the predicted uncertainty to generate errors and are relatively larger at higher exposure levels. DISCUSSION: Our findings suggest that the causal determination for long-term

Indexed as

Air PollutantsAir PollutionEnvironmental ExposureParticulate MatterUnited StatesAir PollutantsParticulate Matter

Identifiers

PMID35904519
PMCPMC9337229

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.