Breast cancer in older patients: national cancer registry data

2013 ◽  
Vol 67 (7) ◽  
pp. 698-700 ◽  
Author(s):  
R. Sinha ◽  
C. Coyle ◽  
A. Ring
Keyword(s):  
Breast Cancer ◽  
Cancer Registry ◽  
Older Patients ◽  
Registry Data ◽  
National Cancer Registry ◽  
Cancer Registry Data

Incidence of primary breast cancer in Iran: Ten-year national cancer registry data report

2015 ◽  
Vol 39 (4) ◽  
pp. 519-527 ◽  
Author(s):  
Seyed Behzad Jazayeri ◽  
Soheil Saadat ◽  
Rashid Ramezani ◽  
Ahmad Kaviani
Keyword(s):  
Breast Cancer ◽  
Cancer Registry ◽  
Primary Breast Cancer ◽  
Registry Data ◽  
National Cancer Registry ◽  
Cancer Registry Data

Large differences in patterns of breast cancer survival between Australia and England: A comparative study using cancer registry data

2009 ◽  
Vol 124 (10) ◽  
pp. 2391-2399 ◽  
Author(s):  
Laura M. Woods ◽  
Bernard Rachet ◽  
Dianne O'Connell ◽  
Gill Lawrence ◽  
Elizabeth Tracey ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Comparative Study ◽  
Cancer Registry ◽  
Cancer Survival ◽  
Breast Cancer Survival ◽  
Registry Data ◽  
Cancer Registry Data

Comparison of Five Survival Models: Breast Cancer Registry Data from Ege University Cancer Research Center

2010 ◽  
Vol 30 (5) ◽  
pp. 1665-1674 ◽  
Author(s):  
Elvan AKTÜRK HAYAT ◽  
Aslı SUNER ◽  
Burak UYAR ◽  
Ömer DURSUN ◽  
Mehmet N. ORMAN ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Research ◽  
Cancer Registry ◽  
Registry Data ◽  
Research Center ◽  
Survival Models ◽  
Cancer Registry Data ◽  
Breast Cancer Registry

Use of cancer registry data for research on patterns of breast cancer care of individuals with Medicaid insurance

2005 ◽  
Vol 23 (16_suppl) ◽  
pp. 6021-6021 ◽  
Author(s):  
R. T. Anderson ◽  
F. T. Camacho ◽  
R. Balkrishnan ◽  
E. Levine ◽  
G. Kimmick ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Registry ◽  
Cancer Care ◽  
Registry Data ◽  
Breast Cancer Care ◽  
Cancer Registry Data

scholarly journals Distinct temporal trends in breast cancer incidence from 1997 to 2016 by molecular subtypes: A population-based study of Scottish cancer registry data

2019 ◽  
Author(s):  
Ines Mesa-Eguiagaray ◽  
Sarah H Wild ◽  
Philip S. Rosenberg ◽  
Sheila M Bird ◽  
David H Brewster ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Registry ◽  
Cancer Incidence ◽  
Molecular Subtypes ◽  
Breast Cancer Incidence ◽  
Temporal Trends ◽  
Population Based ◽  
Registry Data ◽  
Cancer Registry Data ◽  
Er Status

AbstractBackgroundStrategies for breast cancer prevention are informed by assessing whether incidence differs by tumour biology. We describe temporal trends of breast cancer incidence by molecular subtypes in Scotland.MethodsPopulation-based cancer registry data on 72,217 women diagnosed with incident primary breast cancer from 1997 to 2016 were analysed. Age-standardised rates (ASR) and age-specific incidence were estimated by tumour subtype after imputing the 8% of missing oestrogen receptor (ER) status. Joinpoint regression and age- period- cohort models were used to assess whether significant differences were observed in incidence trends by ER status.ResultsER positive tumour incidence steadily increased particularly for women of screening age 50 to 69 years from 1997 till around 2011 (1.6%/year, 95%CI: 1.2 to 2.1). ER negative incidence decreased among all ages at a consistent rate of −0.7%/year (95%CI: −1.5, 0) from around 2000-2016. Compared to the 1941-1959 central birth cohort, women born 1912-1940 had lower incidence rate ratios (IRR) for ER+ tumours and women born 1960- 1986 had higher IRR for ER- tumours.ConclusionsWe show evidence of aetiologic heterogeneity of breast cancer. Future incidence and survival reporting should be monitored by molecular subtypes.

scholarly journals Increase Coverage Cancer Registry by Strengthening and Improving the Reporting of Breast Cancer Screening Program in Jakarta as One of Data Source

2018 ◽  
Vol 4 (Supplement 2) ◽  
pp. 142s-142s ◽  
Author(s):  
D.T. Sinulingga ◽  
A. Kadir ◽  
D. Purwanto ◽  
K. Kardinah ◽  
E. Suzanna ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Early Detection ◽  
Cancer Registry ◽  
Registry Data ◽  
Cancer Registration ◽  
Birth Date ◽  
Screening Programs ◽  
Cancer Registry Data ◽  
Mobile Mammography ◽  
Data Source

Background and context: Breast cancer screening programs by mobile mammography have been done since 2005 for Jakarta and around by collaboration of Dharmais National Cancer Center with The Indonesia Breast Cancer Foundation and Jakarta Health Department. Every activity, mobile mammography has been examined 50 persons for 60-80 times yearly. For 2015 there were 3493 examinations with 529 cases (15.1%) were abnormal which 43 from that cases (8.1%) are suspect malignancy. All that data were compile with early detection and cancer registry data to know the real cancer, but there were no malignancy and only 15 benign cases had come to follow-up to Dharmais NCC. The result is no malignancy. To compile the mobile mammography data with detection unit and cancer registry data were difficult because of the difference terms of the variables. National Cancer Registry of Indonesia has been announced by Ministry of Health since 2016. The coverage of cancer that diagnosed in 2008-2012 in Jakarta just 30.7%. One of the sources of data are screening data. In Indonesia, screening programs for breast and cervix cancer have been done sporadically, including at Jakarta. Unfortunately for 2008-2012 diagnose year, there were no data can compile to cancer registry because there were no address data and name. So we collaborate to improve the data variables for cancer registration system. Aim: To conduct the mobile mammography screening data as one of the sources data for cancer registration to improve the coverage in Jakarta and to prepare the breast specific cancer registry system. Strategy/Tactics: Cancer Registry, Early Detection, Radiology and Pathology Unit was collaborating with The Indonesia Breast Cancer Foundation to improve the variables. Program/Policy process: We to improve the variables and their operational definition especially for name, address and birth date include risk factors and physical examinations variables. The palpations of breast was conduct by midwives or doctors before the examination with mammography. Cancer registration variables definition is the standard, so the name variable is the name that written in the National Identity Card, include the birth date and address. Information system department in Dharmais NCC has made the program to this data system and have been take place since July 2017. Outcomes: There were 1462 data that have been in hospital data based for mobile mammography with 237 cases (16.2%) were abnormal which 14 cases (5.9%) are suspect malignancy. Only 5 suspect malignancy cases had more examination in Dharmais NCC and all of them were diagnosed breast malignancy. What was learned: Standardization of variable definitions is very important for cancer registry data source to improve the coverage especially for early stage finding cases. But to know the standard diagnose and to follow the cases real conditions, we have to make a good and clear referral system networking.

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