Volume 384, Issue 9945, Pages (August 2014)

Slides:



Advertisements
Similar presentations
Diabetes and Cause-Specific Mortality in a Prospective Cohort of One Million U.S. Adults Featured Article: Peter T. Campbell, Ph.D., Christina C. Newton,
Advertisements

Worldwide trends in diabetes since 1980: a pooled analysis of 751 population-based studies with 4·4 million participants The Lancet Volume 387, Issue 10027,
Date of download: 7/9/2016 Copyright © The American College of Cardiology. All rights reserved. From: Usual Blood Pressure and Risk of New-Onset Diabetes:
Copyright © 2005 American Medical Association. All rights reserved.
Microvascular disease and risk of cardiovascular events among individuals with type 2 diabetes: a population-level cohort study  Dr Jack R W Brownrigg,
Survival in most affluent
BMI and risk of dementia in two million people over two decades: a retrospective cohort study  Dr Nawab Qizilbash, MRCP, John Gregson, PhD, Michelle E.
Volume 383, Issue 9928, Pages (May 2014)
Diabetes mellitus, fasting blood glucose concentration, and risk of vascular disease: a collaborative meta-analysis of 102 prospective studies  The Emerging.
CANCER Carbon Co. Luzerne Schuylkill Pennsylvania TABLE 1. Distribution of Cancers by Type for Tamaqua Study Counties and Pennsylvania Based on
Type 2 diabetes and incidence of cardiovascular diseases: a cohort study in 1·9 million people  Dr Anoop Dinesh Shah, MRCP, Claudia Langenberg, PhD, Eleni.
Menopausal hormone use and ovarian cancer risk: individual participant meta-analysis of 52 epidemiological studies  Collaborative Group on Epidemiological.
Volume 387, Issue 10021, Pages (February 2016)
Circ Cardiovasc Qual Outcomes
Volume 19, Issue 2, Pages (February 2018)
Demographic and practice factors predicting repeated non-attendance in primary care: a national retrospective cohort analysis  David A Ellis, PhD, Ross.
Associations of ambient coarse particulate matter, nitrogen dioxide, and carbon monoxide with the risk of kidney disease: a cohort study  Benjamin Bowe,
Residential greenness and prevalence of major depressive disorders: a cross-sectional, observational, associational study of 94 879 adult UK Biobank participants 
5 Prevalence Ontario Cancer Statistics 2016 Chapter 5: Prevalence.
Volume 15, Issue 10, Pages (September 2014)
Chronic kidney disease and cause-specific hospitalisation: a matched cohort study using primary and secondary care patient data by Masao Iwagami, Ben Caplin,
Frailty and pre-frailty in middle-aged and older adults and its association with multimorbidity and mortality: a prospective analysis of 493 737 UK Biobank.
Volume 12, Issue 8, Pages (August 2011)
Volume 392, Issue 10145, Pages (August 2018)
Menopausal hormone use and ovarian cancer risk: individual participant meta-analysis of 52 epidemiological studies  Collaborative Group on Epidemiological.
Volume 16, Issue 9, Pages (September 2015)
Diabetes mellitus, fasting blood glucose concentration, and risk of vascular disease: a collaborative meta-analysis of 102 prospective studies  The Emerging.
The 20 Most Common Cancers in 2012
Incidence of type 2 diabetes after bariatric surgery: population-based matched cohort study  Helen Booth, MSc, Omar Khan, FRCS, Prof Toby Prevost, PhD,
Volume 13, Issue 11, Pages (November 2012)
Volume 385, Issue 9974, Pages (March 2015)
Alcohol drinking patterns and liver cirrhosis risk: analysis of the prospective UK Million Women Study  Rachel F Simpson, MB BCh, Carol Hermon, MSc, Bette.
Body-mass index and cause-specific mortality in 900 000 adults: collaborative analyses of 57 prospective studies  Prospective Studies Collaboration  The.
Association of BMI with overall and cause-specific mortality: a population-based cohort study of 3·6 million adults in the UK  Krishnan Bhaskaran, PhD,
Separate and combined associations of body-mass index and abdominal adiposity with cardiovascular disease: collaborative analysis of 58 prospective studies 
Chronic kidney disease and cause-specific hospitalisation: a matched cohort study using primary and secondary care patient data by Masao Iwagami, Ben Caplin,
Socioeconomic inequalities in childhood and adolescent body-mass index, weight, and height from 1953 to 2015: an analysis of four longitudinal, observational,
Interaction of Physical Activity and Body Mass Index on Mortality in Coronary Heart Disease: Data from the Nord-Trøndelag Health Study  Trine Moholdt,
Association between circulating 25-hydroxyvitamin D and incident type 2 diabetes: a mendelian randomisation study  Zheng Ye, PhD, Stephen J Sharp, MSc,
Volume 391, Issue 10120, Pages (February 2018)
Global extent of chloroquine-resistant Plasmodium vivax: a systematic review and meta- analysis  Prof Ric N Price, MD, Lorenz von Seidlein, PhD, Neena.
Mortality in single fathers compared with single mothers and partnered parents: a population-based cohort study  Maria Chiu, PhD, Farah Rahman, MPH, Simone.
Low-level lead exposure and mortality in US adults: a population-based cohort study  Prof Bruce P Lanphear, MD, Stephen Rauch, MPH, Peggy Auinger, MS,
Volume 93, Issue 1, Pages (January 2018)
Volume 387, Issue 10021, Pages (February 2016)
Pre-entry screening programmes for tuberculosis in migrants to low-incidence countries: a systematic review and meta-analysis  Dr Robert W Aldridge, MSc,
Socioeconomic status as an effect modifier of alcohol consumption and harm: analysis of linked cohort data  Dr Srinivasa Vittal Katikireddi, FFPH, Elise.
Volume 13, Issue 9, Pages (September 2012)
Type 2 diabetes and incidence of cardiovascular diseases: a cohort study in 1·9 million people  Dr Anoop Dinesh Shah, MRCP, Claudia Langenberg, PhD, Eleni.
Prevalence of and risk factors for active tuberculosis in migrants screened before entry to the UK: a population-based cross-sectional study  Dr Robert.
Volume 2, Issue 5, Pages (May 2015)
Are exposures to ready-to-eat food environments associated with type 2 diabetes? A cross-sectional study of 347 551 UK Biobank adult participants  Chinmoy.
Body-mass index, blood pressure, and cause-specific mortality in India: a prospective cohort study of 500 810 adults  Vendhan Gajalakshmi, PhD, Ben Lacey,
Association between adiposity outcomes and residential density: a full-data, cross- sectional analysis of 419 562 UK Biobank adult participants  Dr Chinmoy.
Literature Flow to Assess the Effects of Omega-3 Fatty Acid on Tumor Incidence Catherine H. MacLean, et al, JAMA. 2006; 295:
Volume 383, Issue 9932, Pages (May 2014)
Volume 383, Issue 9928, Pages (May 2014)
Volume 86, Issue 3, Pages (September 2014)
Volume 19, Issue 2, Pages (February 2018)
A prospective cohort study of physical activity and time to pregnancy
Diabetes mellitus, fasting blood glucose concentration, and risk of vascular disease: a collaborative meta-analysis of 102 prospective studies  The Emerging.
Impact of Diabetes Mellitus on the Association of Vascular Disease Before Transplantation With Long-term Transplant and Patient Outcomes After Kidney.
Volume 383, Issue 9921, Pages (March 2014)
Volume 2, Issue 10, Pages (October 2015)
The effect of social deprivation on clinical outcomes and the use of treatments in the UK cystic fibrosis population: a longitudinal study  Dr David C.
Forest plot showing the association between center-level characteristics and death-censored technique failure after adjusting for age, sex, race, body.
Adjusted HRs (95% CIs) for all-cause mortality associated with BMI by smoking status in men and women and by CHD, type 2 diabetes, and cancer status at.
Adjusted HRs (95% CIs) for all-cause mortality associated with body fat percentage by smoking status in men and women and by CHD, type 2 diabetes, and.
Association of body mass index with all-cause mortality in diabetes and non-diabetes populations, by smoking status. Association of body mass index with.
Medium and long-term risks of specific cardiovascular diseases in survivors of 20 adult cancers: a population-based cohort study using multiple linked.
Presentation transcript:

Volume 384, Issue 9945, Pages 755-765 (August 2014) Body-mass index and risk of 22 specific cancers: a population-based cohort study of 5·24 million UK adults  Dr Krishnan Bhaskaran, PhD, Ian Douglas, PhD, Harriet Forbes, MSc, Prof Isabel dos-Santos-Silva, PhD, Prof David A Leon, PhD, Prof Liam Smeeth, PhD  The Lancet  Volume 384, Issue 9945, Pages 755-765 (August 2014) DOI: 10.1016/S0140-6736(14)60892-8 Copyright © 2014 Bhaskaran et al. Open Access article distributed under the terms of CC BY Terms and Conditions

Figure 1 Flow diagram showing the creation of the main dataset, reasons for exclusions, and assignment of body-mass index (BMI) at study entry CPRD= Clinical Practice Research Datalink. *When the first available BMI was after start of CPRD follow-up, the patient was late-entered into the risk set. The Lancet 2014 384, 755-765DOI: (10.1016/S0140-6736(14)60892-8) Copyright © 2014 Bhaskaran et al. Open Access article distributed under the terms of CC BY Terms and Conditions

Figure 2 Forest plot of hazard ratios (HR) for each cancer per 5 kg/m2 increase in body-mass index (BMI), from models with BMI fitted as a linear effect Number of incident cancer cases in never smokers only were: oral cavity (302); oesophagus (1858); stomach (1320); colon (6115); rectum (2623); liver (699); gallbladder (133); pancreas (1525); lung (2674); malignant melanoma (4477); breast—premenopausal (3109); breast—postmenopausal (14 833); cervix (535); uterus (1555); ovaries (1864); prostate (10 634); kidney (776); bladder (2687); brain and central nervous system (CNS) (1359); thyroid (478); non-Hodgkin lymphoma (3212); multiple myeloma (1441); and leukaemia (2685). HRs estimated using a separate model for each cancer with linear BMI term, adjusted for age, diabetes status, smoking, alcohol use, socioeconomic status, calendar year, and stratified by sex; p values from Wald tests on the linear BMI term in each adjusted model. The Lancet 2014 384, 755-765DOI: (10.1016/S0140-6736(14)60892-8) Copyright © 2014 Bhaskaran et al. Open Access article distributed under the terms of CC BY Terms and Conditions

Figure 3 Association between body-mass index (BMI) and specific cancers, allowing for non-linear effects, with 99% CIs The reference BMI for these plots (with HR fixed as 1·0) was 22 kg/m2. Separate models were fitted for each cancer type, each with a restricted cubic spline for BMI (knots placed at equal percentiles of BMI), adjusted for age, calendar year, diabetes status, alcohol use, smoking (all at time of BMI recording), socioeconomic status (index of multiple deprivation), and stratified by sex. HR=hazard ratio. The Lancet 2014 384, 755-765DOI: (10.1016/S0140-6736(14)60892-8) Copyright © 2014 Bhaskaran et al. Open Access article distributed under the terms of CC BY Terms and Conditions

Figure 4 Modelled associations between body-mass index (BMI) and colon, liver, breast, ovarian, and prostate cancers and malignant melanoma, including detected non-linearities and effect modification Curves for each cancer type estimated from models with BMI fitted as a spline, adjusted for age, calendar year, diabetes status, smoking, alcohol use, socioeconomic status (index of multiple deprivation). Stratified curves were produced by adding interaction terms with the BMI spline basis. For estimated effect modification by sex, smoking, menopausal status, and present age for all cancer types, see appendix pp 9–12. Estimated HRs per 5 kg/m2 derived from best fitting piecewise linear or linear model (with Akaike information criterion used to select optimal knots or thresholds). HR=hazard ratio. The Lancet 2014 384, 755-765DOI: (10.1016/S0140-6736(14)60892-8) Copyright © 2014 Bhaskaran et al. Open Access article distributed under the terms of CC BY Terms and Conditions

Figure 5 Associations between body-mass index and oral, stomach, and lung cancers with effect modification by smoking status Curves for each cancer type estimated from models with BMI fitted as a spline, interaction terms between smoking status and spline basis, adjusted for age, calendar year, diabetes status, alcohol use, socioeconomic status (index of multiple deprivation), and stratified by sex. p values for effect of BMI in never smokers=0·62 for oral cavity cancer, 0·16 for stomach cancer, and 0·18 for lung cancer. Estimated curves by smoking status for all cancer types are presented in appendix p 10. Pinteraction=p value for interaction. HR=hazard ratio. The Lancet 2014 384, 755-765DOI: (10.1016/S0140-6736(14)60892-8) Copyright © 2014 Bhaskaran et al. Open Access article distributed under the terms of CC BY Terms and Conditions