{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Wang Y"],"funding":["Key Technologies Research and Development Program","National Natural Science Foundation of China","Wellcome Trust","National Key Research and Development Program of China"],"pagination":["124991"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC7616677"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["362"],"pubmed_abstract":["In recent years, the precision of exposure assessment methods has been rapidly improved and more widely adopted in epidemiological studies. However, such methodological advancement has introduced additional heterogeneity among studies. The precision of exposure assessment has become a potential confounding factors in meta-analyses, whose impacts on effect calculation remain unclear. To explore, we conducted a meta-analysis to integrate the long- and short-term exposure effects of PM<sub>2.5</sub>, NO<sub>2</sub>, and O<sub>3</sub> on all-cause, cardiovascular, and respiratory mortality in the Chinese population. Literature was identified through Web of Science, PubMed, Scopus, and China National Knowledge Infrastructure before August 28, 2023. Sub-group analyses were performed to quantify "],"journal":["Environmental pollution (Barking, Essex : 1987)"],"pubmed_title":["Key factors in epidemiological exposure and insights for environmental management: Evidence from meta-analysis."],"pmcid":["PMC7616677"],"funding_grant_id":["2022YFC3704200","209376/Z/17/Z","U2233203","209376","42325505"],"pubmed_authors":["Liu H","Liu J","Luo Z","He K","Zhu G","Yi W","Deng C","Zhang Z","Wang S","Wang Y","Chang J","Zheng G","Zhao J","Hu P"],"additional_accession":[]},"is_claimable":false,"name":"Key factors in epidemiological exposure and insights for environmental management: Evidence from meta-analysis.","description":"In recent years, the precision of exposure assessment methods has been rapidly improved and more widely adopted in epidemiological studies. However, such methodological advancement has introduced additional heterogeneity among studies. The precision of exposure assessment has become a potential confounding factors in meta-analyses, whose impacts on effect calculation remain unclear. To explore, we conducted a meta-analysis to integrate the long- and short-term exposure effects of PM<sub>2.5</sub>, NO<sub>2</sub>, and O<sub>3</sub> on all-cause, cardiovascular, and respiratory mortality in the Chinese population. Literature was identified through Web of Science, PubMed, Scopus, and China National Knowledge Infrastructure before August 28, 2023. Sub-group analyses were performed to quantify ","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024 Dec","modification":"2025-04-21T21:52:27.004Z","creation":"2025-04-21T21:52:27.004Z"},"accession":"S-EPMC7616677","cross_references":{"pubmed":["39303936"],"doi":["10.1016/j.envpol.2024.124991"]}}