{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Rauh-Hain JA"],"funding":["National Center for Advancing Translational Sciences","NCATS NIH HHS","National Cancer Institute","NCI NIH HHS"],"pagination":["3243-3253"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9378486"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["128(17)"],"pubmed_abstract":["<h4>Background</h4>This study sought to determine the impact of pregnancy or assisted reproductive technologies (ART) on breast-cancer-specific survival among breast cancer survivors.<h4>Methods</h4>The authors performed a cohort study using a novel data linkage from the California Cancer Registry, the California birth cohort, and the Society for Assisted Reproductive Technology Clinic Outcome Reporting System data sets. They performed risk-set matching in women with stages I-III breast cancer diagnosed between 2000 and 2012. For each pregnant woman, comparable women who were not pregnant at that point but were otherwise similar based on observed characteristics were matched at the time of pregnancy. After matching, Cox proportional hazards models were used to estimate hazard ratios (HRs) "],"journal":["Cancer"],"pubmed_title":["Survival outcomes following pregnancy or assisted reproductive technologies after breast cancer: A population-based study."],"pmcid":["PMC9378486"],"funding_grant_id":["T32 CA101642","KL2TR001874","5T32CA101642","P30 CA016672","K08 CA234333","K08CA234333","KL2 TR001874"],"pubmed_authors":["Jorgensen K","Nitecki R","Melamed A","Fu S","Chavez-MacGregor M","Giordano SH","Baker VL","Keating NL","Rauh-Hain JA","Zubizarreta J","Brady PC"],"additional_accession":[]},"is_claimable":false,"name":"Survival outcomes following pregnancy or assisted reproductive technologies after breast cancer: A population-based study.","description":"<h4>Background</h4>This study sought to determine the impact of pregnancy or assisted reproductive technologies (ART) on breast-cancer-specific survival among breast cancer survivors.<h4>Methods</h4>The authors performed a cohort study using a novel data linkage from the California Cancer Registry, the California birth cohort, and the Society for Assisted Reproductive Technology Clinic Outcome Reporting System data sets. They performed risk-set matching in women with stages I-III breast cancer diagnosed between 2000 and 2012. For each pregnant woman, comparable women who were not pregnant at that point but were otherwise similar based on observed characteristics were matched at the time of pregnancy. After matching, Cox proportional hazards models were used to estimate hazard ratios (HRs) ","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022 Sep","modification":"2025-04-19T01:28:18.418Z","creation":"2025-04-07T12:15:43.757Z"},"accession":"S-EPMC9378486","cross_references":{"pubmed":["35767282"],"doi":["10.1002/cncr.34371"]}}