Cohort studies. Hans Wolff. Service d épidémiologie Clinique, Département de médecine communautaire

Similar documents
Cohort studies. Alfredo Morabia

Case-control studies. Hans Wolff. Service d épidémiologie clinique Département de médecine communautaire. WHO- Postgraduate course 2007 CC studies

Measures of Association

sickness, disease, [toxicity] Hard to quantify

Table 2.3. Nested case-control studies of arsenic exposure and cancer

Measure of Association Examples of measure of association

Table 2.3. Cohort and nested case-control studies of nickel and lung cancer

Epidemiological study design. Paul Pharoah Department of Public Health and Primary Care

Observational Study Designs. Review. Today. Measures of disease occurrence. Cohort Studies

observational studies Descriptive studies

ADENIYI MOFOLUWAKE MPH APPLIED EPIDEMIOLOGY WEEK 5 CASE STUDY ASSIGNMENT APRIL

Is There An Association?

Measures of association: comparing disease frequencies. Outline. Repetition measures of disease occurrence. Gustaf Edgren, PhD Karolinska Institutet

Measurement of Association and Impact. Attributable Risk Attributable Risk in Exposed Population Attributable risk

Welcome to this third module in a three-part series focused on epidemiologic measures of association and impact.

Epidemiology: Overview of Key Concepts and Study Design. Polly Marchbanks

Stratified Tables. Example: Effect of seat belt use on accident fatality

Rapid appraisal of the literature: Identifying study biases

An Introduction to Epidemiology

Epidemiology 2200b Lecture 3 (continued again) Review of sources of bias in Case-control, cohort and ecologic(al) studies

Gender Analysis. Week 3

Purpose. Study Designs. Objectives. Observational Studies. Analytic Studies

Epidemiologic Methods and Counting Infections: The Basics of Surveillance

Strategies for Data Analysis: Cohort and Case-control Studies

Bias. A systematic error (caused by the investigator or the subjects) that causes an incorrect (overor under-) estimate of an association.

Mortality and cancer incidence in Swedish battery workers exposed to cadmium and nickel

Well-being through work. Finnish Institute of Occupational Health

Epidemiologic Study Designs. (RCTs)

Table 2.9. Cohort studies of exposure to benzene and the risk for non-hodgkin lymphoma (NHL)

Cohort studies. Training Course in Sexual and Reproductive Health Research Geneva Nguyen Thi My Huong, MD PhD WHO/RHR/SIS

Mary Emmett, PhD, FACHE Center for Health Services and Outcomes Research

Risk Ratio and Odds Ratio

In the 1700s patients in charity hospitals sometimes slept two or more to a bed, regardless of diagnosis.

Vinyl Chloride Workers and Angiosarcoma of the Liver

INTRODUCTION TO EPIDEMIOLOGICAL STUDY DESIGNS PHUNLERD PIYARAJ, MD., MHS., PHD.

Contingency Tables Summer 2017 Summer Institutes 187

STUDIES OF THE ACCURACY OF DIAGNOSTIC TESTS: (Relevant JAMA Users Guide Numbers IIIA & B: references (5,6))

Causal Association : Cause To Effect. Dr. Akhilesh Bhargava MD, DHA, PGDHRM Prof. Community Medicine & Director-SIHFW, Jaipur

Cancer Risks Following Low Dose Radiation Exposures: Lessons from Epi Studies

Clinical Research Design and Conduction

Cohort studies. Training course in research methodology and research protocol development Geneva Nguyen Thi My Huong, MD PhD WHO/RHR/SIS

Please evaluate this material by clicking here:

Outline. Case control studies. Study Designs. Case Control Study. Start with OUTCOME Go backwards Check for EXPOSURE. Experimental studies

Epidemiologic study designs

Lecture 1: Measuring Disease Occurrence: Prevalence, incidence, incidence density

Table 2.8. Cohort studies of exposure to radium-224, 226 or 228 and their decay products

Cross-sectional Studies

Studies of Guillain-Barré syndrome (GBS) after influenza vaccination

The effects of using personal listening devices on hearing

Interpretation of Epidemiologic Studies

Challenges of Observational and Retrospective Studies

W e have previously described the disease impact

Evidence-Based Medicine Journal Club. A Primer in Statistics, Study Design, and Epidemiology. August, 2013

Diesel Exhaust: Health Effects. Research Needs

Table 2.7. Cohort studies of exposure to benzene and the risk for chronic lymphocytic leukaemia (CLL)

Review Statistics review 11: Assessing risk Viv Bewick 1, Liz Cheek 1 and Jonathan Ball 2

Biases in clinical research. Seungho Ryu, MD, PhD Kanguk Samsung Hospital, Sungkyunkwan University

Trial Designs. Professor Peter Cameron

Health Surveillance. Reference Documents

BEIR VII: Epidemiology and Models for Estimating Cancer Risk

Cigarette Smoking and Lung Cancer

Occupational cancer and use of Cancer Registries

Cancer risks following low-dose radiation from CT scans in childhood. John Mathews CSRP 2016

Data that can be classified as belonging to a distinct number of categories >>result in categorical responses. And this includes:

Welcome to Saltways. A guide to the home for residents and families

Mortality of United Kingdom oil refinery and petroleum distribution workers,

Protocol Development: The Guiding Light of Any Clinical Study

Rotating night shift work and risk of psoriasis in US women

Lung Function of Male Metropolitan Fire Fighters compared to General Population Controls

Confounding in influenza VE studies in seniors, and possible solutions

Chapter 2. Epidemiological and Toxicological Studies

Analyzing Discrete Data

PH 150 MIDTERM KEY VERSION A October 29, 2003

James Paul MD MSc FRCPC

The use of epidemiological data for pesticide risk assessment

Study design. Chapter 64. Research Methodology S.B. MARTINS, A. ZIN, W. ZIN

4/1/2013. Environmental epidemiology: challenges. calculation of RR in cohort study. Research designs & bias in environmental epidemiology

Indoor Radon A public health perspective

Survival of End Stage Renal Failure Patients with Cancer

Downloaded from on January 01, Scand J Work Environ Health 1983;9(3):

Observational study II

Template 1 for summarising studies addressing prognostic questions

Module 4: Estimated Annual U.S. Foodborne Disease Burden, 2011 Foodborne Illnesses 48 million Hospitalizations 128,000 Deaths 3,000

David McLean Centre for Public Health Research Massey University. Historical Cohort Studies of Occupational Cancer in New Zealand

Lecture 4: Research Approaches

Challenges in design and analysis of large register-based epidemiological studies

Intervention vs. Observational Trials:

PPH Domain: Learning Objectives Synopsis: probability frequency Prevalence Incidence Relative risk - Question 1

Answer keys for Assignment 4: Measures of disease frequency

ONLINE MATERIAL THAT ACCOMPANIES CHAPTER 11. Box 1. Assessing additive interaction using ratio measures

2. Studies of Cancer in Humans

Table 2.2. Cohort studies of arsenic exposure and cancer

Silica dust and COPD, is there an association?

Using linked health data to better understand the causes of acute rheumatic fever and other poststreptococcal

IARC Research Actions on Radiofrequencies

Observational Medical Studies. HRP 261 1/13/ am

LONG-TERM EFFECTS OF SULPHUR DIOXIDE

Module 2: Fundamentals of Epidemiology Issues of Interpretation. Slide 1: Introduction. Slide 2: Acknowledgements. Slide 3: Presentation Objectives

VACCINE ACTIVE SURVEILLANCE I

American Cancer Society

Transcription:

Cohort studies Hans Wolff Service d épidémiologie Clinique, Département de médecine communautaire Hans.Wolff@hcuge.ch

Cohort study (CS) Life style Genetic factors Environmental factors Defined population exposed non exposed ill Not ill hypothesis T 1 T 2

Cohort study (CS) Lifestyle Genetic factors Environmental factors Population exposed ill Not ill What is the outcome? T 1 T 2

Cohort study (CS) Lifestyle Genetic factors Environmental factors Population ill Not exposed Not ill What is the outcome? T 1 T 2

Outline Working Example Welsh Nickel Workers Study Description of the study and raw data in Breslow, N.E., Day N.E. Statistical Methods in Cancer Research. IARC, 1987:369-74

Cohort Design SOUTH WALES REFINERY WORKERS Exposed to Nickel 250 Unexposed to Nickel 450 Respiratory Cancer No Respiratory Cancer Respiratory Cancer No Respiratory Cancer 100 90 150 360

Example 250 Exposed To Nickel Respiratory Cancer 100 450 Unexposed To Nickel 90 Person-years 4,100 11,000 Incidence Rate Relative Incidence rate Attributable Risk 0.024/yr 3.0 0.016/yr 0.008/yr

Study design Population: a Nickel factory of South Wales Nickel production by decomposition of gaseous nickel compounds Exposure: according to information on jobs at high risk of exposure held from 1902 to 1934 Risk period: count cases of RC* between April 1934 to December 1981 Outcome: respiratory, mostly lung and nasal cancer * RC = respiratory cancer

Study design Exposure Period Risk Period 1925 1902 1934 1981 Need to be employed before 1925

Which is a fundamental condition for the validity of this cohort design? Subjects need to be: 1. A random sample of the population? 2. At risk of developing lung or nasal cancer? 3. Unlikely to get colon cancer? 4. Randomized to nickel exposure? 5. Willing to answer questionnaires for many years?

At risk of Respiratory Cancer Never had respiratory cancer: exclude prevalent cases Still have two lungs and a nose: exclude subjects who cannot travel from the denominator to the numerator

Incident Respiratory Cancer Incident = newly diagnosed Between April 1,1934 and December 31,1981 Risk Period = 47 years Employed in the factory before 1925

What is the risk of respiratory cancer in this study? 1. Probability of developing RC per 100,000 workers and per year 2. Probability of developing RC over 47 years 3. The excess probability of RC due to exposure 4. The ratio of the probability of RC in exposed over the probability of RC in unexposed 5. A synonymous for the odds of RC

Cohort Design SOUTH WALES REFINERY WORKERS Exposed to Nickel 250 Unexposed to Nickel 450 Respiratory Cancer No Respiratory Cancer Respiratory Cancer No Respiratory Cancer 100 90 150 360

Risk of respiratory cancer in unexposed Unexposed to Nickel Respiratory Cancer 90 Total 450 Person-years 11,000 Risk = Interpretation:

What is the risk of respiratory cancer in unexposed? 1. 90 450 2. 90 450-90 3. 450-90 450 90 4. 5. 11,000 90 11,000-90

Calculating Risk in Unexposed Risk time = New events Population at risk at baseline 90 cases of RC Risk 47 yrs = = 0.2 = 20% 450 subjects free of RC

Risk in Unexposed Interpretation: Probability of developing a respiratory cancer in workers unexposed to nickel is 20% over 47 years

Cohort Design SOUTH WALES REFINERY WORKERS Exposed to Nickel 250 Unexposed to Nickel 450 Respiratory Cancer No Respiratory Cancer Respiratory Cancer No Respiratory Cancer 100 90 150 360

Risk of respiratory cancer in exposed to nickel Exposed to Nickel Respiratory Cancer 100 Total 250 Person-years 4,100 Risk = Interpretation:

Calculating Risk in Exposed Risk time = New events Population at risk at baseline 100 cases of RC Risk 47 yrs = = 0.4 = 40% 250 subjects free of RC

Risk in Exposed Interpretation: Probability of developing a respiratory cancer in workers exposed to nickel is 40% over 47 years

What is an incidence rate of respiratory cancer in this study? 1. Probability of developing RC per 100,000 workers and per year 2. Probability of developing RC over 47 years 3. The excess probability of RC due to exposure 4. The ratio of the probability of disease in exposed over the probability of disease in unexposed 5. Equivalent to the odds of disease (odds of RC)

Notation R = Risk IR = Incidence rate E+ = Exposed to nickel E = Non-exposed to dimes R(E+) = Risk in exposed to nickel IR(E+) = Incidence rate in exposed to nickel

Incidence rate (IR) = risk per unit of time Risk period = 47 yrs. Some subjects followed-up for < 47 yrs. E.g., cases, losses to follow-up Solution # 1 = divide risk by average duration of follow-up (24yrs)

Risk = New RC cases Pop. at risk Incidence Rate = New RC cases Pop. at risk * Duration IR (E ) = 90 cases RC 450 men * 24 yrs 90 = 11,000 personyears = 0.008/yr

Incidence rate (IR) = risk per unit of time Solution # 2 Use person-time as denominator 1 person followed for 2 years = 2 person-year 1 person followed for 1 year = 1 person-year

Study design Exposure Period Risk Period 1925 1902 1934 1981 lost RC Py = 47 Py = 30 Py = 10

Example Exposed to Nickel Unexposed to Nickel Respiratory Cancer 100 90 Person-years 4,100 11,000 Incidence Rate? 0.008

IR (E+) = 100 cases RC 4,100 person-years = 0.024/yr

What is an attributable risk in this study? 1. The ratio of the risk of RC in exposed to Nickel over the risk in unexposed? 2. The risk of RC that is not due to Nickel exposure 3. The excess rate of RC observed in subjects exposed to nickel compared to unexposed 4. The number of workers that need to be exposed to nickel in order to observe an additional case of RC 5. All of the above

Absolute Effect: Attributable Risk (AR) (2) AR = IR(E+) - IR(E-) = IR (E+) - IR (E -) = 0.024/yr - 0.008/yr = 0.016/yr = 16 /1,000/y = Excess IR of RC due to nickel

Attributable Risk IR(E+) = IR(E-) + AR = 0.008 + 0.016 = 0.024 Synonymous: Excess Risk Risk Difference Excess Rate

What is a relative risk in this study? 1. The ratio of the IR of RC in exposed to nickel over the IR in unexposed? 2. The IR of RC that is not due to nickel exposure 3. The excess risk of RC observed among subjects exposed to nickel 4. The number of workers that need to be exposed to nickel in order to observe an additional case of RC 5. None of the above

Relative Effect: Relative Incidence Rate (RIR)* IR(E+) RIR = = IR(E ) 0.024 0.008 = 3.0 * Also referred to as relative risk

Relative Effect Risk in exposed is a multiple of risk in unexposed IR(E+) = [ IR(E-) * RIR ] = [ 0.008 * 3.0 ] = 0.024/yr

Relative Effect RIR > 1 RIR = 1 RIR < 1 Nickel exposure increases RC risk No effect of nickel exposure Nickel exposure protects from RC

Relative or Absolute Effect IR(E+) IR(E ) RR AR 24 /1000/yr 60 /1000/yr 8 /1000/yr 20 /1000/yr 3.0 16 /1000/yr 3.0 40 /1000/yr

Interpretation Attributable risk measures clinical and public health importance of the causal relationship Relative risk assesses strength of the association

Example: Wrapping up 250 Exposed To Nickel Respiratory Cancer 100 450 Unexposed To Nickel 90 Person-years 4,100 11,000 Incidence Rate Relative Incidence rate Attributable Risk 0.024/yr 3.0 0.016/yr 0.008/yr

Prospective Studies: Advantages Exposure to postulated cause is assessed before occurrence of disease Possible to estimate all measures of incidence and effect Possible to study several outcomes to one cause

Prospective Studies: Disadvantages Requires large investments in time, human and financial resources Requires large sample sizes (e.g., 110.000 nurses, 59.600 doctors, 1.2 millions volunteers) Not easy to reproduce (Re: consistency of the association)