Incidence of colorectal cancers in India: A review from population-based cancer registries

2021 ◽  
Vol 11 (2) ◽  
pp. 91
Author(s):  
Satyanarayana Labani ◽  
Smita Asthana ◽  
Rubal Khenchi
BMJ Open ◽  
2019 ◽  
Vol 9 (6) ◽  
pp. e026138 ◽  
Author(s):  
Kavitha Subramaniam ◽  
P W Ang ◽  
Teresa Neeman ◽  
Mitali Fadia ◽  
Doug Taupin

ObjectivePost-colonoscopy colorectal cancers (PCCRCs) are recognised as a critical quality indicator. Benchmarking of PCCRC rate has been hampered by the strong influence of different definitions and methodologies. We adopted a rigorous methodology with high-detail individual data to determine PCCRC rates in a prospective cohort representing a single jurisdiction.SettingWe performed a cohort study of individuals who underwent colonoscopy between 2001 and 2008 at a single centre serving Australian Capital Territory (ACT) and enclaving New South Wales (NSW) region. These individuals were linked to subsequent colorectal cancer (CRC) diagnosis, within 5 years of a negative colonoscopy, through regional cancer registries and hospital records using probabilistic and deterministic record linkage. All cases were verified by pathology review. Predictors of PCCRCs were extracted.Participants7818 individuals had a colonoscopy in the cohort. Linkage to cancer registries detected 384 and 98 CRCs for notification dates of 2001–2013 (ACT) and 2001–2010 (NSW). A further 55 CRCs were identified from a search of electronic medical records using International Classification of Diseases-10 diagnosis codes. After verification and exclusions, 385/537 CRCs (58% male) were included.Primary outcome measurePCCRC rates.ResultsThere were 15 PCCRCs in our cohort. The PCCRC incidence rate was 0.384/1000 person-years and the 5-year PCCRC risk was estimated as 0.192% (95% CI 0.095 to 0.289). The index colonoscopy prior to PCCRC was more likely to show diverticulosis (p=0.017 for association, OR 3.56, p=0.014) and have poor bowel preparation (p=0.017 for association, OR 4.19, p=0.009).ConclusionIn this population-based cohort study, the PCCRC incidence rate was 0.384/1000 person-years and the 5-year PCCRC risk was 0.192%. These data show the ‘real world’ accuracy of colonoscopy for CRC exclusion.


Author(s):  
Stephanie C Melkonian ◽  
Hannah K Weir ◽  
Melissa A Jim ◽  
Bailey Preikschat ◽  
Donald Haverkamp ◽  
...  

Abstract Cancer incidence varies among American Indian and Alaska Native (AI/AN) populations, as well as between AI/AN and White populations. This study examined trends for cancers with elevated incidence among AI/AN compared with non-Hispanic White populations and estimated potentially avoidable incident cases among AI/AN populations. Incident cases diagnosed during 2012–2016 were identified from population-based cancer registries and linked with the Indian Health Service patient registration databases to improve racial classification of AI/AN populations. Age-adjusted rates (per 100,000) and trends were calculated for cancers with elevated incidence among AI/AN compared with non-Hispanic White populations (rate ratio >1.0), by region. Trends were estimated using joinpoint regression analyses. Expected cancers were estimated by applying age-specific cancer incidence rates among non-Hispanic White populations to population estimates for AI/AN populations. Excess cancer cases among AI/AN populations were defined as observed minus expected cases. Liver, stomach, kidney, lung, colorectal and female breast cancers had higher incidence rate among AI/AN populations across most regions. Between 2012 and 2016, nearly 5,200 excess cancers were diagnosed among AI/AN populations, with the largest number of excess cancers (1,925) occurring in the Southern Plains region. Culturally informed efforts may reduce cancer disparities associated with these and other cancers among AI/AN populations.


2015 ◽  
Vol 13 (1) ◽  
pp. 140-147 ◽  
Author(s):  
Hendrikus J.M. Pullens ◽  
Max Leenders ◽  
Marguerite E.I. Schipper ◽  
Martijn G.H. van Oijen ◽  
Peter D. Siersema

PLoS ONE ◽  
2016 ◽  
Vol 11 (12) ◽  
pp. e0167540 ◽  
Author(s):  
Jiao Yang ◽  
Xiang lin Du ◽  
Shu ting Li ◽  
Bi yuan Wang ◽  
Yin ying Wu ◽  
...  

2021 ◽  
Vol 15 ◽  
Author(s):  
Ranjeeta Subedi ◽  
Atul Budukh ◽  
Sandhya Chapagain ◽  
Pradip Gyanwali ◽  
Bishal Gyawali ◽  
...  

2022 ◽  
Vol 76 ◽  
pp. 102056
Author(s):  
Jeerawan Klangjorhor ◽  
Donsuk Pongnikorn ◽  
Areerak Phanphaisarn ◽  
Parunya Chaiyawat ◽  
Pimpisa Teeyakasem ◽  
...  

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