Pr sentation 24 juin 2015 F PIERREsplite partie 1 · 2019. 4. 29. · Red and Processed Meat and...
Transcript of Pr sentation 24 juin 2015 F PIERREsplite partie 1 · 2019. 4. 29. · Red and Processed Meat and...
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Red and Processed Meat and Colorectal CancerIncidence: Meta-Analysis of Prospective Studies
Doris S. M. Chan1, Rosa Lau1, Dagfinn Aune1, Rui Vieira1, Darren C. Greenwood2, Ellen Kampman3,
Teresa Norat1*
1Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom, 2 Biostatistics Unit, Centre for Epidemiology
and Biostatistics, University of Leeds, Leeds, United Kingdom, 3Division of Human Nutrition, Wageningen University, Wageningen, The Netherlands
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Red and Processed Meat and Colorectal CancerIncidence: Meta-Analysis of Prospective Studies
Doris S. M. Chan1, Rosa Lau1, Dagfinn Aune1, Rui Vieira1, Darren C. Greenwood2, Ellen Kampman3,
Teresa Norat1*
1Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom, 2 Biostatistics Unit, Centre for Epidemiology
and Biostatistics, University of Leeds, Leeds, United Kingdom, 3Division of Human Nutrition, Wageningen University, Wageningen, The Netherlands
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Red and Processed Meat and Colorectal CancerIncidence: Meta-Analysis of Prospective Studies
Doris S. M. Chan1, Rosa Lau1, Dagfinn Aune1, Rui Vieira1, Darren C. Greenwood2, Ellen Kampman3,
Teresa Norat1*
1Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom, 2 Biostatistics Unit, Centre for Epidemiology
and Biostatistics, University of Leeds, Leeds, United Kingdom, 3Division of Human Nutrition, Wageningen University, Wageningen, The Netherlands
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Red and Processed Meat and Colorectal CancerIncidence: Meta-Analysis of Prospective Studies
Doris S. M. Chan1, Rosa Lau1, Dagfinn Aune1, Rui Vieira1, Darren C. Greenwood2, Ellen Kampman3,
Teresa Norat1*
1Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom, 2 Biostatistics Unit, Centre for Epidemiology
and Biostatistics, University of Leeds, Leeds, United Kingdom, 3Division of Human Nutrition, Wageningen University, Wageningen, The Netherlands
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Meta-analysis of prospective studies of red meatconsumption and colorectal cancerDominik D. Alexandera, Douglas L. Weedb, Colleen A. Cushinga
and Kimberly A. Lowec
298 European Journal of Cancer Prevention 2011, Vol 20 No 4
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Meta-analysis of prospective studies of red meatconsumption and colorectal cancerDominik D. Alexandera, Douglas L. Weedb, Colleen A. Cushinga
and Kimberly A. Lowec
Fig. 1
Author and year RR and 95% CI
Bostick et al. (1994) (C) (W)Brink et al. (2005) (C)Brink et al. (2005) (R)Chao et al. (2005) (C)Chao et al. (2005) (R)Chenet al. (1998)(CRC)(M) Physicians Health StudyChen et al. (2003) (C)Cross et al. (2007) (C)Cross et al. (2007) (R)English et al. (2004) (C) English et al. (2004) (R) Flood et al. (2003) (CRC) (W)Hsing et al. (1998) (CRC) (M)Jarvinen et al. (2001) (C) Jarvinen et al. (2001) (R) Kabat et al. (2007) (C) (W)Kabat et al. (2007) (R) (W)Kato et al. (1997) (CRC) (W)Khan et al. (2004) (CRC) (M)Khan et al. (2004) (CRC) (W)Kojima et al. (2004) (C) (M)Kojima et al. (2004) (C) (W)Kojima et al. (2004) (R) (M)Kojima et al. (2004) (R) (W)Larsson et al. (2005a) (CRC)(W) Swedish Mammography CohortLee et al. (2009) (C) (W) Lee et al. (2009) (R) (W) Lin et al. (2004) (CRC) (W) Norat et al. (2005) (C)Norat et al. (2005) (R)Nothlings et al. (2009) (CRC)Oba et al. (2006) (C) (M)Oba et al. (2006) (C) (W)Pietinen et al. (1999) (CRC) (M)Sato et al. (2006) (C) Sato et al. (2006) (R) Singh and Fraser et al. (1998) (C) Tiemersma et al. (2002) (CRC) (M)Tiemersma et al. (2002) (CRC) (W)Wei et al. (2004) (C) (M)Wei et al. (2004) (C) (W)Wei et al. (2004) (R (W)Wei et al. (2004) (R) (M)
0.1 0.2 0.5 1.0 2 5 10Summary relative risk = 1.12 (1.04−1.121)
P heterogeneity = 0.014
Iowa Women's Health StudyNetherlands Cohort StudyNetherlands Cohort StudyCancer Prevention Study IICancer Prevention Study II
China Cohort StudyNIH-AARP Cohort StudyNIH-AARP Cohort StudyMelbourne Collaborative Cohort StudyMelbourne Collaborative Cohort StudyBreast Cancer Detection Demonstration ProjectLutheran Brotherhood CohortMobile Clinic Health Examination SurveyMobile Clinic Health Examination SurveyCanadian National Breast Screening SurveyCanadian National Breast Screening SurveyNew York, Florida Cohort StudyJapan Cohort StudyJapan Cohort StudyJapan Collaborative Cohort StudyJapan Collaborative Cohort StudyJapan Collaborative Cohort StudyJapan Collaborative Cohort Study
Shanghai Women's Health StudyShanghai Women's Health StudyWomen's Health StudyEPIC CohortEPIC CohortMultiethnic Cohort StudyJapan Cohort StudyJapan Cohort StudyATBC Cancer Prevention StudyMiyagi Cohort StudyMiyagi Cohort StudyAdventist Health StudyProspective Netherlands StudyProspective Netherlands StudyHealth Professionals Follow-up StudyNurses Health StudyNurses Health StudyHealth Professionals Follow-up Study
Cohort
Meta-analysis of prospective studies of red meat intake and colorectal cancer. C, colon; CRC, colorectal; M, men; R, rectal; W, women.
298 European Journal of Cancer Prevention 2011, Vol 20 No 4
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Meta-analysis of prospective studies of red meatconsumption and colorectal cancerDominik D. Alexandera, Douglas L. Weedb, Colleen A. Cushinga
and Kimberly A. Lowec
Fig. 1
Author and year RR and 95% CI
Bostick et al. (1994) (C) (W)Brink et al. (2005) (C)Brink et al. (2005) (R)Chao et al. (2005) (C)Chao et al. (2005) (R)Chenet al. (1998)(CRC)(M) Physicians Health StudyChen et al. (2003) (C)Cross et al. (2007) (C)Cross et al. (2007) (R)English et al. (2004) (C) English et al. (2004) (R) Flood et al. (2003) (CRC) (W)Hsing et al. (1998) (CRC) (M)Jarvinen et al. (2001) (C) Jarvinen et al. (2001) (R) Kabat et al. (2007) (C) (W)Kabat et al. (2007) (R) (W)Kato et al. (1997) (CRC) (W)Khan et al. (2004) (CRC) (M)Khan et al. (2004) (CRC) (W)Kojima et al. (2004) (C) (M)Kojima et al. (2004) (C) (W)Kojima et al. (2004) (R) (M)Kojima et al. (2004) (R) (W)Larsson et al. (2005a) (CRC)(W) Swedish Mammography CohortLee et al. (2009) (C) (W) Lee et al. (2009) (R) (W) Lin et al. (2004) (CRC) (W) Norat et al. (2005) (C)Norat et al. (2005) (R)Nothlings et al. (2009) (CRC)Oba et al. (2006) (C) (M)Oba et al. (2006) (C) (W)Pietinen et al. (1999) (CRC) (M)Sato et al. (2006) (C) Sato et al. (2006) (R) Singh and Fraser et al. (1998) (C) Tiemersma et al. (2002) (CRC) (M)Tiemersma et al. (2002) (CRC) (W)Wei et al. (2004) (C) (M)Wei et al. (2004) (C) (W)Wei et al. (2004) (R (W)Wei et al. (2004) (R) (M)
0.1 0.2 0.5 1.0 2 5 10Summary relative risk = 1.12 (1.04−1.121)
P heterogeneity = 0.014
Iowa Women's Health StudyNetherlands Cohort StudyNetherlands Cohort StudyCancer Prevention Study IICancer Prevention Study II
China Cohort StudyNIH-AARP Cohort StudyNIH-AARP Cohort StudyMelbourne Collaborative Cohort StudyMelbourne Collaborative Cohort StudyBreast Cancer Detection Demonstration ProjectLutheran Brotherhood CohortMobile Clinic Health Examination SurveyMobile Clinic Health Examination SurveyCanadian National Breast Screening SurveyCanadian National Breast Screening SurveyNew York, Florida Cohort StudyJapan Cohort StudyJapan Cohort StudyJapan Collaborative Cohort StudyJapan Collaborative Cohort StudyJapan Collaborative Cohort StudyJapan Collaborative Cohort Study
Shanghai Women's Health StudyShanghai Women's Health StudyWomen's Health StudyEPIC CohortEPIC CohortMultiethnic Cohort StudyJapan Cohort StudyJapan Cohort StudyATBC Cancer Prevention StudyMiyagi Cohort StudyMiyagi Cohort StudyAdventist Health StudyProspective Netherlands StudyProspective Netherlands StudyHealth Professionals Follow-up StudyNurses Health StudyNurses Health StudyHealth Professionals Follow-up Study
Cohort
Meta-analysis of prospective studies of red meat intake and colorectal cancer. C, colon; CRC, colorectal; M, men; R, rectal; W, women.
298 European Journal of Cancer Prevention 2011, Vol 20 No 4
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Meta-analysis of prospective studies of red meatconsumption and colorectal cancerDominik D. Alexandera, Douglas L. Weedb, Colleen A. Cushinga
and Kimberly A. Lowec
Fig. 1
Author and year RR and 95% CI
Bostick et al. (1994) (C) (W)Brink et al. (2005) (C)Brink et al. (2005) (R)Chao et al. (2005) (C)Chao et al. (2005) (R)Chenet al. (1998)(CRC)(M) Physicians Health StudyChen et al. (2003) (C)Cross et al. (2007) (C)Cross et al. (2007) (R)English et al. (2004) (C) English et al. (2004) (R) Flood et al. (2003) (CRC) (W)Hsing et al. (1998) (CRC) (M)Jarvinen et al. (2001) (C) Jarvinen et al. (2001) (R) Kabat et al. (2007) (C) (W)Kabat et al. (2007) (R) (W)Kato et al. (1997) (CRC) (W)Khan et al. (2004) (CRC) (M)Khan et al. (2004) (CRC) (W)Kojima et al. (2004) (C) (M)Kojima et al. (2004) (C) (W)Kojima et al. (2004) (R) (M)Kojima et al. (2004) (R) (W)Larsson et al. (2005a) (CRC)(W) Swedish Mammography CohortLee et al. (2009) (C) (W) Lee et al. (2009) (R) (W) Lin et al. (2004) (CRC) (W) Norat et al. (2005) (C)Norat et al. (2005) (R)Nothlings et al. (2009) (CRC)Oba et al. (2006) (C) (M)Oba et al. (2006) (C) (W)Pietinen et al. (1999) (CRC) (M)Sato et al. (2006) (C) Sato et al. (2006) (R) Singh and Fraser et al. (1998) (C) Tiemersma et al. (2002) (CRC) (M)Tiemersma et al. (2002) (CRC) (W)Wei et al. (2004) (C) (M)Wei et al. (2004) (C) (W)Wei et al. (2004) (R (W)Wei et al. (2004) (R) (M)
0.1 0.2 0.5 1.0 2 5 10Summary relative risk = 1.12 (1.04−1.121)
P heterogeneity = 0.014
Iowa Women's Health StudyNetherlands Cohort StudyNetherlands Cohort StudyCancer Prevention Study IICancer Prevention Study II
China Cohort StudyNIH-AARP Cohort StudyNIH-AARP Cohort StudyMelbourne Collaborative Cohort StudyMelbourne Collaborative Cohort StudyBreast Cancer Detection Demonstration ProjectLutheran Brotherhood CohortMobile Clinic Health Examination SurveyMobile Clinic Health Examination SurveyCanadian National Breast Screening SurveyCanadian National Breast Screening SurveyNew York, Florida Cohort StudyJapan Cohort StudyJapan Cohort StudyJapan Collaborative Cohort StudyJapan Collaborative Cohort StudyJapan Collaborative Cohort StudyJapan Collaborative Cohort Study
Shanghai Women's Health StudyShanghai Women's Health StudyWomen's Health StudyEPIC CohortEPIC CohortMultiethnic Cohort StudyJapan Cohort StudyJapan Cohort StudyATBC Cancer Prevention StudyMiyagi Cohort StudyMiyagi Cohort StudyAdventist Health StudyProspective Netherlands StudyProspective Netherlands StudyHealth Professionals Follow-up StudyNurses Health StudyNurses Health StudyHealth Professionals Follow-up Study
Cohort
Meta-analysis of prospective studies of red meat intake and colorectal cancer. C, colon; CRC, colorectal; M, men; R, rectal; W, women.
298 European Journal of Cancer Prevention 2011, Vol 20 No 4
/(18(--:>(1!60!C,:1608[!;A:3;7203,08!02!3,8K70!60!
;:1;03!;(+(30;2:+!
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British Journal of Cancer (2011) 105, S2 – S5
& 2011 Cancer Research UK All rights reserved 0007 – 0920/11
www.bjcancer.com
The fraction of cancer attributable to lifestyle and
environmental factors in the UK in 2010
Introduction
DM Parkin*,1
1Centre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK
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Table 3 Colorectal cancer diagnosed in 2010, attributable to meat consumption in 2000–2001
Age (years) Colon–rectum All cancers
At exposure
At
outcome PAF
Observed
cases
Excess attributable
cases PAF (%)
Men
19–24 29–34 0.27 92 24.8 26.9 1333 24.8 1.9
25–34 35–44 0.26 397 102.5 25.8 4124 102.5 2.5
35–49 45–59 0.26 2921 756.7 25.9 22 388 756.7 3.4
50–64 X60 0.25 18 643 4611.3 24.7 128 192 4611.3 3.6
All ages 22 127 5495.3 24.8 158 667 5495.3 3.5
Women
19–24 29–34 0.17 97 16.9 17.5 2248 16.9 0.8
25–34 35–44 0.14 402 57.0 14.2 8619 57.0 0.7
35–49 45–59 0.16 2292 376.0 16.4 31 631 376.0 1.2
50–64 X60 0.17 14 926 2465.6 16.5 110 403 2465.6 2.2
All ages 17 787 2915.5 16.4 155 584 2915.5 1.9
Persons
19–24 29–34 189 42 22.1 3582 42 1.2
25–34 35–44 799 160 20.0 12 743 160 1.3
35–49 45–59 5213 1133 21.7 54 019 1133 2.1
50–64 X60 33 569 7077 21.1 238 595 7077 3.0
All ages 39 914 8411 21.1 314 251 8411 2.7
Abbreviations: PAF¼ population-attributable fraction. aExcluding non-melanoma skin cancer.
S26
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!40-1)*!_7$17)*,!9*!%0a)*,`!
![Page 34: Pr sentation 24 juin 2015 F PIERREsplite partie 1 · 2019. 4. 29. · Red and Processed Meat and Colorectal Cancer Incidence: Meta-Analysis of Prospective Studies Doris S. M. Chan](https://reader034.fdocuments.us/reader034/viewer/2022051823/5fee3d0fb6d53a7a2c7778c8/html5/thumbnails/34.jpg)
Meta-analysis of prospective studies of red meatconsumption and colorectal cancerDominik D. Alexandera, Douglas L. Weedb, Colleen A. Cushinga
and Kimberly A. Lowec
Fig. 1
Author and year RR and 95% CI
Bostick et al. (1994) (C) (W)Brink et al. (2005) (C)Brink et al. (2005) (R)Chao et al. (2005) (C)Chao et al. (2005) (R)Chenet al. (1998)(CRC)(M) Physicians Health StudyChen et al. (2003) (C)Cross et al. (2007) (C)Cross et al. (2007) (R)English et al. (2004) (C) English et al. (2004) (R) Flood et al. (2003) (CRC) (W)Hsing et al. (1998) (CRC) (M)Jarvinen et al. (2001) (C) Jarvinen et al. (2001) (R) Kabat et al. (2007) (C) (W)Kabat et al. (2007) (R) (W)Kato et al. (1997) (CRC) (W)Khan et al. (2004) (CRC) (M)Khan et al. (2004) (CRC) (W)Kojima et al. (2004) (C) (M)Kojima et al. (2004) (C) (W)Kojima et al. (2004) (R) (M)Kojima et al. (2004) (R) (W)Larsson et al. (2005a) (CRC)(W) Swedish Mammography CohortLee et al. (2009) (C) (W) Lee et al. (2009) (R) (W) Lin et al. (2004) (CRC) (W) Norat et al. (2005) (C)Norat et al. (2005) (R)Nothlings et al. (2009) (CRC)Oba et al. (2006) (C) (M)Oba et al. (2006) (C) (W)Pietinen et al. (1999) (CRC) (M)Sato et al. (2006) (C) Sato et al. (2006) (R) Singh and Fraser et al. (1998) (C) Tiemersma et al. (2002) (CRC) (M)Tiemersma et al. (2002) (CRC) (W)Wei et al. (2004) (C) (M)Wei et al. (2004) (C) (W)Wei et al. (2004) (R (W)Wei et al. (2004) (R) (M)
0.1 0.2 0.5 1.0 2 5 10Summary relative risk = 1.12 (1.04−1.121)
P heterogeneity = 0.014
Iowa Women's Health StudyNetherlands Cohort StudyNetherlands Cohort StudyCancer Prevention Study IICancer Prevention Study II
China Cohort StudyNIH-AARP Cohort StudyNIH-AARP Cohort StudyMelbourne Collaborative Cohort StudyMelbourne Collaborative Cohort StudyBreast Cancer Detection Demonstration ProjectLutheran Brotherhood CohortMobile Clinic Health Examination SurveyMobile Clinic Health Examination SurveyCanadian National Breast Screening SurveyCanadian National Breast Screening SurveyNew York, Florida Cohort StudyJapan Cohort StudyJapan Cohort StudyJapan Collaborative Cohort StudyJapan Collaborative Cohort StudyJapan Collaborative Cohort StudyJapan Collaborative Cohort Study
Shanghai Women's Health StudyShanghai Women's Health StudyWomen's Health StudyEPIC CohortEPIC CohortMultiethnic Cohort StudyJapan Cohort StudyJapan Cohort StudyATBC Cancer Prevention StudyMiyagi Cohort StudyMiyagi Cohort StudyAdventist Health StudyProspective Netherlands StudyProspective Netherlands StudyHealth Professionals Follow-up StudyNurses Health StudyNurses Health StudyHealth Professionals Follow-up Study
Cohort
Meta-analysis of prospective studies of red meat intake and colorectal cancer. C, colon; CRC, colorectal; M, men; R, rectal; W, women.
298 European Journal of Cancer Prevention 2011, Vol 20 No 4
/(18(--:>(1!60!C,:1608[!;A:3;7203,08!02!3,8K70!60!
;:1;03!;(+(30;2:+!
FG$H4*$2709*$9*10(>$:*$"&116"7$90$I;.%$$
$$$$9*$JKLL$
FG$M&$46564$9*$C"&)564$&D"('0&':*$
\&!]4&560'!&b4$@-&@%)!5044)*.0'(!=!%&!.40.0460'!()!
5&*!(X-')!.&,70%01$)!2-$!*)4&$,!%&!50'*+2-)'5)!(:-'!
50/.04,)/)',!0-!(:-'!]&5,)-4!()!4$*2-);!!
British Journal of Cancer (2011) 105, S2 – S5
& 2011 Cancer Research UK All rights reserved 0007 – 0920/11
www.bjcancer.com
The fraction of cancer attributable to lifestyle and
environmental factors in the UK in 2010
Introduction
DM Parkin*,1
1Centre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK
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Table 3 Colorectal cancer diagnosed in 2010, attributable to meat consumption in 2000–2001
Age (years) Colon–rectum All cancers
At exposure
At
outcome PAF
Observed
cases
Excess attributable
cases PAF (%)
Men
19–24 29–34 0.27 92 24.8 26.9 1333 24.8 1.9
25–34 35–44 0.26 397 102.5 25.8 4124 102.5 2.5
35–49 45–59 0.26 2921 756.7 25.9 22 388 756.7 3.4
50–64 X60 0.25 18 643 4611.3 24.7 128 192 4611.3 3.6
All ages 22 127 5495.3 24.8 158 667 5495.3 3.5
Women
19–24 29–34 0.17 97 16.9 17.5 2248 16.9 0.8
25–34 35–44 0.14 402 57.0 14.2 8619 57.0 0.7
35–49 45–59 0.16 2292 376.0 16.4 31 631 376.0 1.2
50–64 X60 0.17 14 926 2465.6 16.5 110 403 2465.6 2.2
All ages 17 787 2915.5 16.4 155 584 2915.5 1.9
Persons
19–24 29–34 189 42 22.1 3582 42 1.2
25–34 35–44 799 160 20.0 12 743 160 1.3
35–49 45–59 5213 1133 21.7 54 019 1133 2.1
50–64 X60 33 569 7077 21.1 238 595 7077 3.0
All ages 39 914 8411 21.1 314 251 8411 2.7
Abbreviations: PAF¼ population-attributable fraction. aExcluding non-melanoma skin cancer.
S26
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50%04)5,&%!&**05$+)!=!%&!50'*0//&60'!()!9$&'()*!
!40-1)*!_7$17)*,!9*!%0a)*,`!
"!IP!c!()*!5&'5)4*!),!dM!c!()*!(+5e*!.&4!5&'5)4!4+*-%,)4&$)',!
()!%X)8.0*$60'!=!($9)4*!]&5,)-4*!()!4$*2-)!+9$,&@%)*J!%$+*!=!'0*!
/0()*! ()! 9$)! ),! =! '0*! 50/.04,)/)',*! _,&@&5J! ]&5,)-4*!
'-,4$60'')%*!f`;!
"!g&'*! %)*! .&U*! 055$()',&-8J!S%]!608! ;:8! 60! ;:1;038! 67!
;^+(18! 8(12! :\3,B7:B+08! Y! +:! ;(18(--:>(1! 60!
C,:1608Z!
es P
.8 26.9
5 25.8 4
.7 2
.3 24.7
24.8 15
.9 17.5
14.2 86
.0 16.4
.6 16.5
16.4 15
0 20
77 2
1 21.1 3
1 351 35
.0 1.0 1
7 54
es Pes Pes Pes PAF (AF (AF (AF (%)%)%)%)
.8 26.9
5 25.8 4
.7 25.9
.3 24.7
24.8 15
.9 17.5
14.2 86
.0 16.4
.6 1.6 16.56.5
16.16.4 15
22.1 35
0 20.0 1
21.7 54
77 21.1
1 21.1 3
1 35
.0 1
7 54
.1 3
![Page 35: Pr sentation 24 juin 2015 F PIERREsplite partie 1 · 2019. 4. 29. · Red and Processed Meat and Colorectal Cancer Incidence: Meta-Analysis of Prospective Studies Doris S. M. Chan](https://reader034.fdocuments.us/reader034/viewer/2022051823/5fee3d0fb6d53a7a2c7778c8/html5/thumbnails/35.jpg)
/(18(--:>(1!60!C,:1608[!;A:3;7203,08!02!3,8K70!60!
;:1;03!67!@:1;3?:8!
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/(18(--:>(1!60!C,:1608[!;A:3;7203,08!02!3,8K70!60!
;:1;03!67!@:1;3?:8!
\&! /+,&"&'& %U*)! (0*)" 4+.0'*)! _.0-4! -')!
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%)*! 70//)*! _:7D-012:>(1! 60! Q&!]`J!-:,8! .&*! 57)h!
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Red and processed meat consumption and risk of pancreatic
cancer: meta-analysis of prospective studies
SC Larsson*,1 and A Wolk1
1Division of Nutritional Epidemiology, National Institute of Environmental Medicine, Karolinska Institutet, Box 210, SE-171 77 Stockholm, Sweden
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British Journal of Cancer (2012) 106, 603 – 607
& 2012 Cancer Research UK All rights reserved 0007 – 0920/12
www.bjcancer.com
Isaksson
First author
Stolzenberg-solomon
Stolzenberg-solomon
Coughlin
Stolzenberg-solomon
Nöthlings
Coughlin
Lin
Michaud
Inoue-choi
Larsson
Heinen
Lin
Zheng
2002
Year
2007
2007
2000
2002
2005
2000
2006
2003
2011
2006
2009
2006
1993
M/W
Sex
W
M
M
M
M/W
W
M
W
W
W
M/W
W
M
0.03 (0.00, 0.34)
0.65 (0.33, 1.31)
1.46 (1.05, 2.04)
1.11 (0.92, 1.33)
1.16 (0.72, 1.86)
1.82 (1.31, 2.52)
0.83 (0.69, 1.00)
1.93 (0.93, 3.99)
0.70 (0.37, 1.34)
1.06 (0.74, 1.52)
1.83 (0.72, 4.63)
0.78 (0.51, 1.20)
1.50 (0.72, 3.10)
1.53 (1.06, 2.22)
Relative
risk (95% CI)
/(18(--:>(1!60!C,:1608[!;A:3;7203,08!02!3,8K70!60!
;:1;03!67!@:1;3?:8!
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60!;:1;03!60!@:1;3?:8!60!SX]!&**05$+)!=!%&!50'*0//&60'!
()!9$&'()*!40-1)*!-'$2-)/)',!57)h!%)*!70//)*!_NN!+,-()*!
()!50704,)`;!!
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Epidemiologie
Viandes & Cancer:
Un projet de l’épidemiologie
… jusqu’à l’épidemiologie
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Comprendre: Mecanismes
In vitro
Validation In vivo
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Outils Biomarqueurs dans biofluides
Outils Biomarqueurs dans d biofluides
Comprendre: Mecanismes
In vitro
Validation In vivo
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Outils Biomarqueurs dans biofluides Biomarqueurs dans d biofluides
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