Increasing deaths from colorectal cancer in Poland – Insights for optimising colorectal cancer screening in society and space

Czaderny, Krzysztof

doi:10.26444/aaem/99233

Cited by 9 publications

(6 citation statements)

References 26 publications

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“…Using the search term 'processed red meat and cancer' in PubMed, it is clear that there has been a systematically increasing annual number of publications focused on this topic, especially after 2015: only one in 1990, near to 50 each year 2010‐2015 and about 80 each year 2016‐2020. Most of them agree to a greater or lesser extent – that the consumption of red and processed meat is associated with an increased risk of cancer, especially colorectal cancer (Abu‐Ghazaleh et al ., 2021; Aykan, 2015; Behrens et al ., 2018; Czaderny, 2019; Ganjavi & Faraji, 2019; Knuppel et al ., 2020; Mafiana et al ., 2018; Pouchieu et al ., 2014; WCRF/AICR, 2018; Saliba et al ., 2019). In contrast, only a few studies have not reached the same conclusion (Pramual et al ., 2018).…”

Section: Cancer Cvd Type‐2 Diabetes and Total Mortalitymentioning

confidence: 99%

Consumption of processed red meat and its impact on human health: A review

Libera

Iłowiecka

Stasiak

2021

Int J of Food Sci Tech

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Summary Meat is an important component of the human diet, and the consumption of processed meat is high, despite the increasing popularity of the vegetarian model of nutrition. Both meat and meat product consumption contribute to delivering many vitamins and minerals, such as iron, zinc, selenium and vitamin B12; moreover, meat products are a significant source of high biological value protein, providing essential amino acids. Processed meat should be eaten in moderation. Excessive consumption of processed red meat (cured and smoked) carries the risk of developing new diseases or intensifying existing ones. This review aims to present scientific reports on the role and safety of the consumption of processed red meat in the diet of healthy individuals. The impact of meat consumption on the risk of cancer, cardiovascular diseases, diabetes, obesity, inflammatory bowel diseases, non‐alcoholic fatty liver and infertility was described.

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Section: Cancer Cvd Type‐2 Diabetes and Total Mortalitymentioning

confidence: 99%

Consumption of processed red meat and its impact on human health: A review

Libera

Iłowiecka

Stasiak

2021

Int J of Food Sci Tech

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“…The areas with high incidence of DTC (such as liver, gastric, and esophageal cancer) exhibited obvious regional differences, indicating that they were greatly affected by environmental factors. Many studies con rmed that there is a signi cant relationship between the ecological environment, population behavior, and the incidence of cancer [29][30][31] . During the eld investigation, it was found that the amount of pesticides and fertilizers used in the northwestern region in Lujiang County was signi cantly higher than the other regions(Fig.…”

Section: Spatiotemporal Clustering Of Digestive Tract Cancermentioning

confidence: 99%

Spatiotemporal Distribution and Evolution of Digestive Tract Cancer Cases in Hefei, China Since 2012

Lin

Zhang

et al. 2021

Preprint

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Background: Cancer has become the major killer of deaths among Chinese urban and rural residents, and about 50% of new cases are from liver cancer, gastric cancer, and esophageal cancer. Digestive tract cancer(DTC) has received widespread attention due to its poor treatment effect and high mortality rate, as well as severe physical, psychological, mental, and economic trauma to patients and their families.Methods: The data on DTC cases in Lujiang County in Hefei, China, were downloaded from the Data Center of the Center for Disease Control and Prevention in Hefei, Anhui Province, China, while the demographic data were sourced from the demographic department in China. Systematic statistical analyses, including the spatial empirical Bayes smoothing, spatial autocorrelation, hotspot statistics, and Kulldorff's retrospective space-time scan, were used to identify the spatial and spatiotemporal clusters of DTC. GM(1,1) and standard deviation ellipses were then applied to predict the future evolution of the spatial pattern of the DTC cases in Lujiang County. Results: DTC in Lujiang County had obvious spatiotemporal clustering. The spatial distribution of DTC cases increases gradually from east to west in the county in a stepwise pattern. The peak of DTC cases occurred in 2012-2013, and the high-case spatial clusters were located mainly in the northwest of Lujiang County. At the 1% significance level, two spatiotemporal clusters were identified. From 2012 to 2017, the cases of DTC in Lujiang County gradually shifted to the high-incidence area in the northwest, and the spatial distribution range experienced a process of “dispersion-clustering”. The cases of DTC in Lujiang County will continue to move to the northwest from 2018 to 2025, and the predicted spatial clustering tends to be more obvious. Conclusions: High-incidence time of DTC was 2012-2013, and the number of cases increased from east to west in Lujiang County. High clusters were mostly located in the northwestern area and agglomerated from southeast to northwestern especially after 2014.

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“…Badanie było realizowane techniką wywiadu wspomaganego komputerowo albo ankiety wypełnianej samodzielnie przez respondenta oraz uzupełniająco techniką ankiety internetowej. Statystyczne modele przestrzenne umieralności na nowotwory złośliwe jelita grubego oraz płuca w Polsce przedstawił Czaderny (2019aCzaderny ( , 2019b.…”

Section: Metody Klasteryzacjiunclassified

“…Na mapach zilustrowano dane o umieralności za lata 2010-2014 oraz referencyjnie 1980-1984, otrzymane z Krajowego rejestru Nowotworów, pochodzące ze świadectw zgonów gromadzonych przez Główny Urząd Statystyczny. Czaderny (2019aCzaderny ( , 2019bCzaderny ( , 2018 omówił rozkład przestrzenny umieralności na nowotwory złośliwe jelita grubego, płuca oraz gruczołu krokowego w Polsce. W niniejszym artykule zanalizowano zróżnicowanie przestrzenne rejestrowanej umieralności na inne ważne nowotwory złośliwe: tarczycy (iCD10: C73; iCD9: 193), żołądka (C16; 151), pęcherza moczowego (C67; 188), jądra (C62; 186), jajnika (C56; 183), sutka u kobiet (C50; 174) oraz macicy (C53-C54; 180, 182).…”

unclassified

Polska A i Polska B. Rozkład przestrzenny i klasteryzacja umieralności na wybrane nowotwory złośliwe w Polsce

Czaderny¹

2018

Self Cite

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This article describes the geographical distribution of mortality due to selected cancers in Poland in 2010-2014 and in 1980-1984 as reference. Using examples, three cluster identification techniques are discussed: the local Moran's index, the Kulldorff's scan statistic and the Stone's statistic. The centres of primary spatial clusters (groupings) of age-adjusted mortality of men and women due to cancers at 10 sites are situated outside the Eastern Poland macroregion. The location of spatial clusters in the 2010-2014 and 1980-1984 was different, although age-adjusted cancer mortality was lower in the Eastern Poland in both periods. Clusters of female mortality due to cancers of breast, ovary, uterus and bladder in the 2010-2014 period were detected in Pomerania and Kuyavia. The high all-site cancer mortality in the Northern and Western Poland is partly determined by a higher smoking prevalence in these macroregions and procreative attitudes. The data provide no basis for a hypothesis of an elevated risk of thyroid cancer mortality in seaside and mountainous counties, which could be hypothesised based on registry data from other countries. According to the Stone's test results, stomach cancer mortality was found to be statistically importantly lower in Warsaw and in other large agglomerations.

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Increasing deaths from colorectal cancer in Poland – Insights for optimising colorectal cancer screening in society and space

Cited by 9 publications

References 26 publications

Consumption of processed red meat and its impact on human health: A review

Consumption of processed red meat and its impact on human health: A review

Spatiotemporal Distribution and Evolution of Digestive Tract Cancer Cases in Hefei, China Since 2012

Polska A i Polska B. Rozkład przestrzenny i klasteryzacja umieralności na wybrane nowotwory złośliwe w Polsce

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