Evidence map›Paper›PMID 42761573›Full record

ArticleEco-Environment & Health2026

Modelling beyond additive risks: A framework for estimating the cascading burden of environmental exposure.

Jinting Guo, Hengyi Liu, Meng Wang, Mingkun Tong, Jianyu Deng, Ning Kang, Tianjia Guan, Tao Xue, Tong Zhu

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Article in Eco-Environment & Health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Jinting GuoInstitute of Reproductive and Child Health, National Health Commission Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Epidemiology of Major Diseases (PKU), School of Public Health, Peking University Health Science Centre, Beijing, 100191, China.
Hengyi LiuInstitute of Reproductive and Child Health, National Health Commission Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Epidemiology of Major Diseases (PKU), School of Public Health, Peking University Health Science Centre, Beijing, 100191, China.
Meng WangDepartment of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, Buffalo, NY, 14214, USA.
Mingkun TongInstitute of Reproductive and Child Health, National Health Commission Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Epidemiology of Major Diseases (PKU), School of Public Health, Peking University Health Science Centre, Beijing, 100191, China.
Jianyu DengInstitute of Reproductive and Child Health, National Health Commission Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Epidemiology of Major Diseases (PKU), School of Public Health, Peking University Health Science Centre, Beijing, 100191, China.
Ning KangInstitute of Reproductive and Child Health, National Health Commission Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Epidemiology of Major Diseases (PKU), School of Public Health, Peking University Health Science Centre, Beijing, 100191, China.
Tianjia GuanSchool of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730, China.
Tao XueNational Institute of Health Data Science, nstitute of Medical Technology, Peking University Health Science Centre, Beijing, 100191, China.
Tong ZhuSKL-ESPC & SEPKL-AERM, College of Environmental Sciences and Engineering, Institute of Tibetan Plateau, and Center for Environment and Health, Peking University, Beijing, 100871, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Standard models for assessing the acute health effects of environmental exposures assume that risks from daily exposures are additive, ignoring "cascading effects" where prior events modify an individual's vulnerability. Here, we introduce and validate the Interactive Distributed Lag Model (iDLM), which quantifies these dynamics by incorporating interaction terms between exposures at different lags. Simulation studies confirm that traditional models are biased when cascading effects are present, whereas the iDLM accurately recovers the true risk structure. We applied this model to a nationwide U.S. dataset to analyze the mortality risks of short-term exposure to PM

Indexed as

Air pollutionAll-cause mortalityCascading effectsInteractive distributed lag model

Identifiers

PMID42761573
PMCPMC13587907

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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.