Evidence map›Paper›PMID 40310753›Full record

ArticleEnvironmental health perspectives2025

Causal Concentration-Response Modeling with Continuous Curves and Exposure Error Correction:

Joel Schwartz, Yijing Feng, Edgar Castro, Yaguang Wei

Abstract read
In one paragraph

Article in Environmental health perspectives, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

4 authors.

Joel SchwartzDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.ORCID 0000-0001-6168-378X
Yijing FengDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.
Edgar CastroDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.
Yaguang WeiDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.

Funding

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
NIEHS NIH HHS R01 ES032418
6 · The paper itself

Abstract

backgroundMany studies have reported associations of fine particulate matter with aerodynamic diameter

objectivesWe examined the association of

methodsUsing monitors not used to fit our

resultsThe propensity score analysis achieved good balance for all covariates. Controlling for the propensity scores, we found a concentration-response curve with no evidence of a threshold and whose confidence interval did not include the null from DISCUSSION: The concentration-response curve between air pollution and mortality remains after adjustment for exposure error and using causal models and continues to concentrations below current US EPA and EU standards and even below WHO guidelines. Exposure error in the original exposure resulted in noticeable downward bias at low concentrations. Persons identifying as black are more susceptible. https://doi.org/10.1289/EHP15238.

Indexed as

Air PollutantsAir PollutionEnvironmental ExposureMortalityParticulate MatterAgedCohort StudiesFemaleHumansMaleMedicareUnited StatesAir PollutantsParticulate Matter

Identifiers

PMID40310753
PMCPMC12151321

What Socratic 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 Socratic graph.