{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Liu C"],"funding":["Henan Provincial Medical Science and Technology Research Program Key Soft Science Project","Clinical Research Special Project of Shanghai Municipal Health Commission"],"pagination":["260"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12822148"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["26(1)"],"pubmed_abstract":["<h4>Background</h4>There is accumulating evidence of an association between particulate matter smaller than 2.5 μm (PM<sub>2.5</sub>) and cancer. However, the impact of air pollution on the survival of lymphoma patients has received little attention.<h4>Methods</h4>This retrospective study was conducted at Henan Cancer Hospital. We included lymphoma patients admitted between January 2017 and December 2020, with follow-ups conducted via telephone. Daily gridded data on PM<sub>2.5</sub> and its chemical components were obtained over a 10 km × 10 km grid. To assess the association between PM<sub>2.5</sub> levels and lymphoma mortality, we employed a Cox proportional-hazards model. Additionally, a restricted cubic spline function was used to evaluate nonlinear associations between chemical com"],"journal":["BMC public health"],"pubmed_title":["Effects of exposure to PM&lt;sub&gt;2.5&lt;/sub&gt; and its chemical components on survival of patients with lymphoma."],"pmcid":["PMC12822148"],"funding_grant_id":["20234Y0007","RKX202401004"],"pubmed_authors":["Li X","Ma L","Chen Y","Liu C","Yang D","Yi W","Wang K","Jin L"],"additional_accession":[]},"is_claimable":false,"name":"Effects of exposure to PM&lt;sub&gt;2.5&lt;/sub&gt; and its chemical components on survival of patients with lymphoma.","description":"<h4>Background</h4>There is accumulating evidence of an association between particulate matter smaller than 2.5 μm (PM<sub>2.5</sub>) and cancer. However, the impact of air pollution on the survival of lymphoma patients has received little attention.<h4>Methods</h4>This retrospective study was conducted at Henan Cancer Hospital. We included lymphoma patients admitted between January 2017 and December 2020, with follow-ups conducted via telephone. Daily gridded data on PM<sub>2.5</sub> and its chemical components were obtained over a 10 km × 10 km grid. To assess the association between PM<sub>2.5</sub> levels and lymphoma mortality, we employed a Cox proportional-hazards model. Additionally, a restricted cubic spline function was used to evaluate nonlinear associations between chemical com","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 Dec","modification":"2026-06-06T17:53:05.103Z","creation":"2026-06-04T03:10:08.198Z"},"accession":"S-EPMC12822148","cross_references":{"pubmed":["41408207"],"doi":["10.1186/s12889-025-25877-1"]}}