scholarly journals Global patterns of breast cancer incidence and mortality: A population‐based cancer registry data analysis from 2000 to 2020

2021 ◽  
Author(s):  
Shaoyuan Lei ◽  
Rongshou Zheng ◽  
Siwei Zhang ◽  
Shaoming Wang ◽  
Ru Chen ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Data Analysis ◽  
Cancer Registry ◽  
Cancer Incidence ◽  
Breast Cancer Incidence ◽  
Population Based ◽  
Registry Data ◽  
Cancer Registry Data ◽  
Incidence And Mortality ◽  
Global Patterns

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 Estimation of Esophageal Cancer Incidence in Tehran by Log-linear Method using Population-based Cancer Registry Data

2013 ◽  
Vol 14 (9) ◽  
pp. 5367-5370 ◽  
Author(s):  
Alireza Mosavi-Jarrahi ◽  
Toraj Ahmadi-Jouibari ◽  
Farid Najafi ◽  
Yadollah Mehrabi ◽  
Abbas Aghaei
Keyword(s):  
Esophageal Cancer ◽  
Cancer Registry ◽  
Cancer Incidence ◽  
Linear Method ◽  
Population Based ◽  
Registry Data ◽  
Cancer Registry Data ◽  
Log Linear

scholarly journals Breast cancer survival by molecular subtype: a population-based analysis of cancer registry data

CMAJ Open ◽  
2017 ◽  
Vol 5 (3) ◽  
pp. E734-E739 ◽  
Author(s):  
Saber Fallahpour ◽  
Tanya Navaneelan ◽  
Prithwish De ◽  
Alessia Borgo
Keyword(s):  
Breast Cancer ◽  
Cancer Registry ◽  
Cancer Survival ◽  
Molecular Subtype ◽  
Population Based ◽  
Breast Cancer Survival ◽  
Registry Data ◽  
Cancer Registry Data ◽  
Subtype A

Ascertainment and evaluation of interval cancers in population-based mammography screening programmes: a collaborative study in four European centres

2005 ◽  
Vol 12 (1) ◽  
pp. 43-49 ◽  
Author(s):  
Sven Törnberg ◽  
Mary Codd ◽  
Vitor Rodrigues ◽  
Nereo Segnan ◽  
Antonio Ponti
Keyword(s):  
Health Care ◽  
Cancer Registry ◽  
Mammography Screening ◽  
Breast Cancer Incidence ◽  
Collaborative Study ◽  
Interval Cancer ◽  
Cancer Registries ◽  
Population Based ◽  
Registry Data ◽  
Cancer Registry Data

Objectives: The purpose of the present study was to estimate the interval cancer (IC) rates in four population-based mammography screening programmes in four countries with different health-care environments, different access to cancer registry data, and different age groupsof women invited. Setting: The screening programmes in Coimbra (Portugal), Dublin (Ireland), Stockholm (Sweden), and Turin (Italy) participated in the study. Methods: All cancer cases were searched for in cancer registries. IC rates and other outcome measures from the screeningprogrammes were estimated and compared between the centres. Poisson regression model was used to estimate the proportional incidence based on IC rate in relation to expected total breast cancer incidence rate in the absence of screening. Results: There was a more than tenfold difference inthe number of invited women at the first round between the involved centres. The IC rates varied between 4.3 and 23.8 per 10,000 women screened. The levels of IC rates in relation to the estimated background incidence varied from 0.35 up to 0.46 depending on age groups involved in the programme,but did not differ significantly between three of the four involved centres. Conclusions: IC rates were quite similar between three of the four centres despite the differences in target population, invited ages, length of building-up of the programmes and different health-care organizations.Different access to complete cancer registry data is likely to explain the lower IC rates in the fourth centre.

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