You will be shown an abstract from a biomedical research paper. Given this abstract, your task is to extract all unique entities of the following types: ["HealthCareActivity", "InjuryOrPoisoning", "BodySubstance", "IntellectualProduct", "AnatomicalStructure", "SpatialConcept", "Chemical", "Bacterium", "MedicalDevice", "Organization", "BiomedicalOccupationOrDiscipline", "Finding", "BiologicFunction", "Virus", "ResearchActivity", "ClinicalAttribute", "PopulationGroup", "Eukaryote", "BodySystem", "Food", "ProfessionalOrOccupationalGroup"].

Please return the output as a JSON object of the format: {"Virus": ["HIV", ...], "Bacterium": ["MRSA", ...], "AnatomicalStructure": ["Lung", ...], "BodySystem": ["CNS", ...], "BodySubstance": ["Serum", ...], "Finding": ["Headache", ...], "InjuryOrPoisoning": ["Fracture", ...], "BiologicFunction": ["Death", ...], "HealthCareActivity": ["Biopsy", ...], "ResearchActivity": ["Clinical trial", ...], "MedicalDevice": ["Lenses", ...], "SpatialConcept": ["Camps", ...], "BiomedicalOccupationOrDiscipline": ["Forensic medicine", ...], "Organization": ["WHO", ...], "ProfessionalOrOccupationalGroup": ["Provider", ...], "PopulationGroup": ["Swimmers", ...], "Chemical": ["Gold", ...], "Food": ["Rice", ...], "IntellectualProduct": ["RPAM", ...], "ClinicalAttribute": ["Biomarker", ...], "Eukaryote": ["Dogs", ...]}. The keys should be entity types and values should be lists of extracted entities belonging to the corresponding type. If you cannot find entities belonging to a specific type, the value should be [].

Only output the JSON object and do not include any additional text.

Abstract:

Diabetes and breast cancer mortality in Black women Breast cancer mortality is higher in Black women than in White women. The prevalence of type 2 diabetes mellitus is also higher, yet data on whether diabetes affects breast cancer mortality in this population are lacking. We investigated the relation of diabetes at the time of breast cancer diagnosis to breast cancer mortality in the Black Women's Health Study, a prospective cohort study. 1,621 Black women with invasive breast cancer diagnosed in 1995-2013 were followed by mailed questionnaires and searches of the National Death Index. Multivariable Cox regression analysis was used to compute hazard ratios (HRs) for diabetes in relation to breast cancer mortality and all-cause mortality, with adjustment for age, stage, treatment modality, estrogen receptor (ER) status, and body mass index. There were 368 deaths during follow-up, of which 273 were due to breast cancer. Breast cancer mortality was significantly increased in women who had been diagnosed with diabetes at least 5 years before breast cancer occurrence, HR 1.86 (95% CI 1.20-2.89), with elevations observed for both ER+ and ER- breast cancer. All-cause mortality was also higher in diabetics, with HRs of 1.54 (95% CI 1.12-2.07) overall and 2.26 (95% CI 1.62-3.15) for ≥5-year duration of diabetes relative to non-diabetics. Our results present the first solid evidence of a positive association of type 2 diabetes with breast cancer mortality in Black women. Given the higher prevalence and earlier onset of type 2 diabetes in Black women, it is likely that diabetes contributes to racial disparities in breast cancer mortality.
{"AnatomicalStructure": [], "Bacterium": [], "BiologicFunction": ["Breast cancer", "Diabetes", "breast cancer", "type 2 diabetes", "diabetes", "type 2 diabetes mellitus"], "BiomedicalOccupationOrDiscipline": [], "BodySubstance": [], "BodySystem": [], "Chemical": ["ER", "estrogen receptor"], "ClinicalAttribute": ["body mass index", "stage"], "Eukaryote": [], "Finding": ["present", "diagnosed", "deaths", "non-diabetics", "earlier onset", "results", "ER-", "positive", "diagnosis", "disparities", "ER+", "diabetics"], "Food": [], "HealthCareActivity": ["treatment modality", "Health", "follow-up"], "InjuryOrPoisoning": [], "IntellectualProduct": ["Multivariable Cox regression analysis", "questionnaires", "National Death Index"], "MedicalDevice": [], "Organization": [], "PopulationGroup": ["women", "population", "Black Women\u0027s", "White women", "racial", "Black women"], "ProfessionalOrOccupationalGroup": [], "ResearchActivity": ["Study", "prospective cohort study"], "SpatialConcept": ["elevations"], "Virus": []}