Evidence map›Paper›PMID 41316116›Full record

ArticleBMC public health2025

Association among persistent chemical pollutants and infectious encephalitis: a mixture exposure and mediation approach.

Guolong Qu, Jianqiang Han, Zhenyao Song, Weiming Hou

Abstract read
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

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No citing paper in PubMed yet.

4 · The record

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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.

Guolong Qu *Air Force Medical Center, PLA, Air Force Medical University, Beijing, 100142, China.
Jianqiang Han *Department of medical engineering, Air Force Medical Center, PLA, Air Force Medical University, Beijing, 100142, China.
Zhenyao Song *Department of medical engineering, Air Force Medical Center, PLA, Air Force Medical University, Beijing, 100142, China. szhyao1980@163.com.
Weiming Hou *Department of medical engineering, Air Force Medical Center, PLA, Air Force Medical University, Beijing, 100142, China. hwm100908@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMost overlook the harmful effects on diseases, particularly the chronic neurotoxicity, which remains undetermined. This study aims to determine the impact of major environmental factors on infectious encephalitis.

methodsOur study investigated the correlation between persistent chemical pollutants and reports and mortality cases of infectious encephalitis (Epidemic cerebrospinal meningitis and Encephalitis B). First, the quantile-based g computation (qgcomp) statistical method was used to analyze the correlation of different chemical pollutants. Bayesian Kernel Machine Regression-Causal Mediation Analysis (BKMR-CMA) method was applied to explore the mediating effect of greenhouse gases between persistent chemical pollution mixtures and incidence and mortality of infectious encephalitis. Finally, the Lasso regression method was used to assess the sensitivity of different age groups of encephalitis patients to the risks of different chemical pollutants.

resultsFor epidemic cerebrospinal meningitis report cases, N

conclusionsWe found that most persistent chemical pollutants in the air increase the risk of neurotoxicity-related morbidity and mortality. Among them, epidemic cerebrospinal meningitis is primarily driven by PCB and OC, while encephalitis B is mainly driven by CH

Indexed as

Environmental ExposureEnvironmental PollutantsInfectious EncephalitisAdolescentAdultBayes TheoremChildChild, PreschoolChinaFemaleHumansIncidenceInfantMaleMiddle AgedYoung AdultEnvironmental PollutantsBKMR-CMAControlled direct effectInfectious encephalitisN2OPersistent organic pollutants

Identifiers

PMID41316116
PMCPMC12751527

What Socratic holds

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LicenceCC BY-NC-ND
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Registered trials

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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 Socratic graph.