Systemic inflammation and risk of all-cause mortality after invasive breast cancer diagnosis among Hispanic and non-Hispanic white women from New Mexico

2022 ◽  
Vol 76 ◽  
pp. 102092
Author(s):  
Avonne E. Connor ◽  
Kate E. Dibble ◽  
Stephanie D. Boone ◽  
Kathy B. Baumgartner ◽  
Richard N. Baumgartner
Keyword(s):  
Breast Cancer ◽  
New Mexico ◽  
Systemic Inflammation ◽  
Cancer Diagnosis ◽  
Invasive Breast Cancer ◽  
White Women ◽  
Breast Cancer Diagnosis ◽  
All Cause Mortality ◽  
Hispanic White

scholarly journals Application of FISH Technique in Invasive Breast Cancer Diagnosis

2009 ◽  
Vol 23 (S1) ◽  
Author(s):  
Yasmeen M. Salameh ◽  
Basema I Al‐Kahlout ◽  
Hala W. Bargal ◽  
Nahla M. Afifi
Keyword(s):  
Breast Cancer ◽  
Cancer Diagnosis ◽  
Invasive Breast Cancer ◽  
Breast Cancer Diagnosis ◽  
Fish Technique

Breast malignancy

2021 ◽  
pp. 1025-1052
Author(s):  
Kieran Horgan ◽  
Barbara Dall ◽  
Rebecca Millican-Slater ◽  
Russell Bramhall ◽  
Fiona MacNeill ◽  
...  
Keyword(s):  
Breast Cancer ◽  
United Kingdom ◽  
Cancer Diagnosis ◽  
Invasive Breast Cancer ◽  
Breast Cancer Diagnosis ◽  
Developed Countries ◽  
Western World ◽  
Breast Malignancy ◽  
The United Kingdom

Breast cancer is the commonest cancer to affect women in developed countries and is increasing in frequency in the Western world. Approximately 50,000 women and 400 men are diagnosed with breast cancer in the United Kingdom each year. Eighty per cent of these individuals will survive for at least 5 years after diagnosis. In 2012, 11,762 women died of breast cancer in the United Kingdom. Age-standardized rates of new invasive breast cancer diagnosis have increased from 75 to 126 per 100,000 population in the United Kingdom between 1977 and 2010.

All-Cause Mortality Is Decreased in Women Undergoing Annual Mammography Before Breast Cancer Diagnosis

2015 ◽  
Vol 204 (4) ◽  
pp. 898-902 ◽  
Author(s):  
Jessica M. Engel ◽  
Trista J. Stankowski-Drengler ◽  
Rachel V. Stankowski ◽  
Hong Liang ◽  
Suhail A. Doi ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Diagnosis ◽  
Breast Cancer Diagnosis ◽  
All Cause Mortality

scholarly journals Accuracy of administrative databases in detecting primary breast cancer diagnoses: a systematic review

BMJ Open ◽  
2018 ◽  
Vol 8 (7) ◽  
pp. e019264 ◽  
Author(s):  
Iosief Abraha ◽  
Alessandro Montedori ◽  
Diego Serraino ◽  
Massimiliano Orso ◽  
Gianni Giovannini ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Systematic Review ◽  
Cancer Diagnosis ◽  
Invasive Breast Cancer ◽  
Primary Breast Cancer ◽  
Breast Cancer Diagnosis ◽  
Administrative Databases ◽  
Cochrane Library ◽  
Icd 10 ◽  
Incident Cases

ObjectiveTo define the accuracy of administrative datasets to identify primary diagnoses of breast cancer based on the International Classification of Diseases (ICD) 9th or 10th revision codes.DesignSystematic review.Data sources: MEDLINE, EMBASE, Web of Science and the Cochrane Library (April 2017).Eligibility criteriaThe inclusion criteria were: (a) the presence of a reference standard; (b) the presence of at least one accuracy test measure (eg, sensitivity) and (c) the use of an administrative database.Data extractionEligible studies were selected and data extracted independently by two reviewers; quality was assessed using the Standards for Reporting of Diagnostic accuracy criteria.Data analysisExtracted data were synthesised using a narrative approach.ResultsFrom 2929 records screened 21 studies were included (data collection period between 1977 and 2011). Eighteen studies evaluated ICD-9 codes (11 of which assessed both invasive breast cancer (code 174.x) and carcinoma in situ (ICD-9 233.0)); three studies evaluated invasive breast cancer-related ICD-10 codes. All studies except one considered incident cases.The initial algorithm results were: sensitivity ≥80% in 11 of 17 studies (range 57%–99%); positive predictive value was ≥83% in 14 of 19 studies (range 15%–98%) and specificity ≥98% in 8 studies. The combination of the breast cancer diagnosis with surgical procedures, chemoradiation or radiation therapy, outpatient data or physician claim may enhance the accuracy of the algorithms in some but not all circumstances. Accuracy for breast cancer based on outpatient or physician’s data only or breast cancer diagnosis in secondary position diagnosis resulted low.ConclusionBased on the retrieved evidence, administrative databases can be employed to identify primary breast cancer. The best algorithm suggested is ICD-9 or ICD-10 codes located in primary position.Trial registration numberCRD42015026881.

scholarly journals Trends in pre-operative needle biopsy use in invasive breast cancer diagnosis: a Dutch nationwide population study

2020 ◽  
Vol 59 (12) ◽  
pp. 1469-1473
Author(s):  
J. P. Bulte ◽  
D. Simsek ◽  
P. Bult ◽  
J. H. W. de Wilt ◽  
L. J. A. Strobbe
Keyword(s):  
Breast Cancer ◽  
Population Study ◽  
Cancer Diagnosis ◽  
Invasive Breast Cancer ◽  
Needle Biopsy ◽  
Breast Cancer Diagnosis

scholarly journals Employment Changes Following Breast Cancer Diagnosis: The Effects of Race and Place

2019 ◽  
Vol 112 (6) ◽  
pp. 647-650 ◽  
Author(s):  
Jennifer C Spencer ◽  
Jason S Rotter ◽  
Jan M Eberth ◽  
Whitney E Zahnd ◽  
Robin C Vanderpool ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Black Women ◽  
Racial Differences ◽  
Cancer Diagnosis ◽  
Rural Women ◽  
White Women ◽  
Indirect Costs ◽  
Breast Cancer Diagnosis ◽  
Income Loss ◽  
Breast Cancer Study

Abstract The financial implications of breast cancer diagnosis may be greater among rural and black women. Women with incident breast cancer were recruited as part of the Carolina Breast Cancer Study. We compared unadjusted and adjusted prevalence of cancer-related job or income loss, and a composite measure of either outcome, by rural residence and stratified by race. We included 2435 women: 11.7% were rural; 48.5% were black; and 38.0% reported employment changes after diagnosis. Rural women more often reported employment effects, including reduced household income (43.6% vs 35.4%, two-sided χ2 test P = .04). Rural white, rural black, and urban black women each more often reported income reduction (statistically significant vs. urban white women), although these groups did not meaningfully differ from each other. In multivariable regression, rural differences were mediated by socioeconomic factors, but racial differences remained. Programs and policies to reduce financial toxicity in vulnerable patients should address indirect costs of cancer, including lost wages and employment.

Sign in / Sign up

Export Citation Format

Share Document