{"doi":"10.1093/jnci/djae170","title":"Social vulnerability and survival in 112 000 adolescents and young adults with cancer: a population-based study","abstract":"Evidence suggests neighborhood-level factors contribute to cancer outcomes, although most research focuses on pediatric and adult populations. Using population-based data from the Texas Cancer Registry, we examined neighborhood-level social vulnerability, a composite measure of 14 census tract-level social risk factors, and survival among 112 142 adolescents and young adults with cancer (AYAs, age 15-39 years). We estimated 1-, 5-, and 10-year overall survival by quintile of social vulnerability and used Cox proportional hazards models (2-sided significance testing) to estimate the association between social vulnerability and all-cause mortality. Survival decreased as social vulnerability increased; for example, 5-year survival was 86.5% (95% confidence interval [CI] = 85.1 to 87.0) in the least vulnerable quintile compared to 74.0% (95% CI = 73.4 to 74.5) in the most vulnerable quintile. Social vulnerability was associated with all-cause mortality in adjusted models (highest vs lowest quintile: adjusted hazard ratio [aHR] = 1.55, 95% CI = 1.48 to 1.63). Achieving equity in AYAs' survival requires interventions to address neighborhood disparities.","journal":"JNCI Journal of the National Cancer Institute","year":2024,"id":468744,"datarank":0.20794415416798362,"base_score":1.3862943611198906,"endowment":1.3862943611198906,"self_citation_contribution":0.20794415416798362,"citation_network_contribution":0.0,"self_endowment_contribution":0.20794415416798362,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":3,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.8809,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2024-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":941073,"name":"Andrea C. Betts","orcid":"0000-0003-0884-6513","position":1,"is_corresponding":false},{"id":1302234,"name":"Tiffany Suragh","orcid":null,"position":2,"is_corresponding":false},{"id":581562,"name":"Sandi L. Pruitt","orcid":"0000-0002-1007-9176","position":3,"is_corresponding":false},{"id":501723,"name":"Michael Roth","orcid":"0000-0002-6411-8353","position":4,"is_corresponding":false},{"id":319717,"name":"Caitlin C. Murphy","orcid":"0000-0001-9365-0691","position":5,"is_corresponding":false},{"id":1301793,"name":"Guillermo Tortolero","orcid":"0000-0001-7063-156X","position":0,"is_corresponding":true}],"reference_count":30,"raw_metadata":{"citation_network_status":"fetched"},"created_at":"2026-07-19T02:05:23.500722Z","pmid":"39084675","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":[]}