{"doi":"10.1111/jrh.70045","title":"Colorectal cancer survival disparities in persistent poverty areas","abstract":"PURPOSE: We examined whether living in persistent poverty census tracts was associated with disparities in colorectal cancer (CRC) survival and whether the association varied between urban and rural settings. METHODS: Using 2013-2019 state-wide cancer registry and 2013-2021 death records data, CRC patients were classified by tract-level persistent poverty and rural/urban status. Overall and CRC-specific survival were compared using Kaplan-Meier estimation and log-rank tests. Adjusted analyses were conducted using Cox proportional hazard and Fine-Gray competing risk models. FINDINGS: During the study period, 558 (53%) of 1055 CRC patients died in persistent poverty tracts versus 3117 (45%) of 6938 patients in nonpersistent poverty tracts. Of the 3675 deaths, 2269 (61.7%) were from CRC-specific causes. In unadjusted analysis, CRC patients in persistent poverty areas had a higher risk of all-cause (HR, 95%CI: 1.28, 1.17-1.40) and CRC-specific (HR, 95% CI: 1.17, 1.04-1.31) mortality. After covariates adjustment, the relationship between persistent poverty and all-cause mortality (HR, 95% CI: 1.17, 1.06-1.29) and non-CRC-specific mortality (HR, 95% CI: 1.34, 1.15-1.57) remained significant, but CRC-specific mortality did not. In subgroup analyses, persistent poverty was associated with increased overall mortality among urban tracts (HR, 95% CI: 1.22, 1.08-1.38), but not rural tracts. CONCLUSIONS: After covariates adjustment, CRC patients in persistent poverty tracts are more likely to die of all causes and non-CRC causes but not CRC-specific causes than those in nonpersistent poverty areas, suggesting that differences in CRC-specific deaths may be partly attributed to demographics, geography, tumor characteristics, and treatment.","journal":"The Journal of Rural Health","year":2025,"id":541739,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":2,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9531,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2025-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":381817,"name":"Mario Schootman","orcid":"0000-0003-1162-8824","position":1,"is_corresponding":false},{"id":978399,"name":"Cheng Peng","orcid":"0000-0003-1217-9645","position":2,"is_corresponding":false},{"id":1273435,"name":"Mahima Saini","orcid":null,"position":3,"is_corresponding":false},{"id":636539,"name":"Emily Hallgren","orcid":"0000-0001-8324-4809","position":4,"is_corresponding":false},{"id":643947,"name":"Jonathan Laryea","orcid":"0000-0001-6550-9252","position":5,"is_corresponding":false},{"id":784822,"name":"Chenghui Li","orcid":"0000-0002-2778-5149","position":6,"is_corresponding":false},{"id":573693,"name":"Peter DelNero","orcid":"0000-0002-8149-9004","position":0,"is_corresponding":true}],"reference_count":49,"raw_metadata":null,"created_at":"2026-07-19T02:52:51.593043Z","pmid":"40629554","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}