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Abstract:

Understanding study design is the foundation for accurately interpreting research. Health care professionals should be able to distinguish well-conducted research from poorly conducted research and know how to apply that knowledge to the care of their community. After participating in this exercise students will be able to recognize the advantages and disadvantages of experimental versus observational studies. This case discusses the proposed association between the MMR vaccine and autism. Students will be prompted to create a study that investigates this claim and to utilize the fundamentals of epidemiology to measure the strength of association between these two variables.

Recommended Reading:

. Madsen KM et al. A population-based study of measles-mumps-rubella vaccination and autism. N Engl J Med 2002;347(19)1477-82.
. Offit, PA. & Coffin, SE. Communicating science to the public: MMR vaccine and autism: Vaccine 2003: 22(1) 1-6.
. Smeeth L et al. MMR vaccination and pervasive developmental disorders: a case-control study. Lancet 2004;364:963-9.

Objectives: At the end of this session, students will be able to:
. Recognize criteria for initiating experimental and observational studies
. Identify key design components of studies
. Describe the advantages and disadvantages of various study designs
. Calculate and interpret outcome measures in cohort and case-control studies
. Interpret data from observational studies looking at MMR vaccination and autism

Introduction

1. What have you heard about an association between vaccines and autism? What are some of the hypotheses you have heard about or read about?

2. What types of studies would you recommend to look at an association between vaccines and autism?

Section A: Study Design

Design a study to look at the association between MMR vaccine and autism.

1. Cohort study

a. How will you assemble your cohort ?

b. What are your inclusion/exclusion criteria for participation in the study?

c. Exposure status: How will you define and measure vaccination status?

d. Outcome status: How will you define and measure autism?

e. What measure of association will you calculate in a cohort study?

2. Case-control study

a. What is your definition of a case?

b. How will you identify cases?

c. What is your definition of a control?

d. How will you identify controls?

e. Exposure status: How will you define and measure vaccination status?

f. What measure of association will you calculate in a case-control study?

Section B: Calculating Measures of Association

Over 25 studies have been conducted which have failed to show an association between MMR vaccine and autism. Below are some data from two of these studies (one cohort and one case-control). Calculate the measure of association for each study after completing the 2x2 table and interpret the measure of association.

1. Cohort study by Madsen et al (NEJM 2002) Of the 537,303 children in the cohort, 440,655 (82.0 percent) had received the MMR vaccine. We identified 316 children with a diagnosis of autistic disorder; 263 of the cases had been vaccinated with MMR (83%); 53 children with autism had not been vaccinated.

2. Case control study by Smeeth et al (Lancet 2004) 1294 cases of pervasive developmental disorder (PDD) and 4469 controls were included. 1010 cases (78.1%) had MMR vaccination recorded before diagnosis, compared with 3671 controls (82.1%) before the age at which their matched case was diagnosed.

Section C: Interpreting results

Review the following data from the aforementioned studies and answer the following questions.

FIGURE 1: Table 1 from Madsen et al., 2002

TABLE 1. CHARACTERISTMS OF THE 537,303 CHILDREN IN THE DANISH COHORT.

 

VACC INATED
CHILDREN

UNVACC INATED

CHILDREN

 


CHARACTERISTIC

W=440,6581

(N-88,668)

P Vane


 

number (Percent)

 


Sex

 

 

0 55


 


Male

226,042 (51.3)

49480 (51.4)


Female

214,613 (48.7)

46968 (4&6)

 


Birth weight

 

 

<0.001


c2499 g

21,633 (4.9)

5,164 (5.3)

 


2500-2999 g

53,874 (12.2)

12,062 (12.5)

 


3000 -3499 g

135,630 (30.8)

29,262 (30.3)

 


3500-3999 g

135,255 (30.7)

29,143 (30.2)

 


.4000 g

66,358 (15.1)

14,563 (151)

 


Data missing

27$05 (6.3)

6,454 (6.7)

 


Gestational age

 

 

<0.001


Co wk

19,029 (4.3)

3,129 (3.2)

 


37-41 wk

272,345 (61.8)

40,609 (42.0)

 


s42 wk

27,349 (6.2)

3 986 (4.1)

 


Data missing!'

121,932 (27.7)

48524 (50.6)

 


Socioeconomic statust

 

 

<0.001


Manager (very high)

41,367 (9.4)

9940 (10.3)

 


Wage tamer (high)

85,772 (19.5)

16,187 (16.7)

 


Wage canter (medium)

70$06 (16.1)

13,753 (14.2)

 


Wage earner (low)

116,503 (26.4)

26,699 (27.6)

 


Wage earner (minimal)

57,408 (13.0)

10,996 (11.4)

 


Unemployed

67,841 (15.4)

18,519 (19.2)

 


Data missing

858 (0.2)

554 (0.6)

 


Mother's education

 

 

<0.001


Postgraduate education

26,118 (5.9)

5,856 (6.1)

 


College

67,776 (15.4)

14,599 (15.1)

 


Vocational training

178,553 (40.5)

34,006 (35.2)

 


Secondary school

42,667 (9.7)

10,164 (10.5)

 


Primary school

114768 (26.0)

28,680 (29.7)

 


Data missing

10,773 (2.4)

3,343 (3.5)

 


Age at diagnosis of autistic disorder

 

 

0.87


<2 yr

48 (0.01)

9(0.01)

 


3-5 yr

187 (0.04)

31 (0.03)

 


.6 yr

34 (0.01)

7(0.01)

 


Age at diagnosis of another autistic-spectrum disorder

 

 

0.19


<2 yr

32 (0.01)

3 (0.003)

 


3-5 yr

202 (0.05)

37 (0.04)

 


.6 yr

118 (0.03)

30 (0.03)

 


1. Describe the characteristics in Table 1 in terms of what type of data they are (discrete / qualitative versus continuous / quantitative).

Using the chi-square test (see footnote of FIGURE 1), authors found significant differences in certain characteristics of vaccinated and unvaccinated children.

2. What characteristics showed no differences between the two groups? What characteristics showed differences between the vaccinated and unvaccinated groups?

3. What do these differences mean?

The New England Journal of Medicine

TABLE 2. ADJUSTED RELATIVE RISK OF AUTISTIC DISORDER AND OF OTHER AUTISTIC- SPECTRUM
DISORDERS IN VACCINATED AND UNVACCINATED CHIDREN.

 

 

 

 

OTher Auntnearearral

VAcenannart

Person-year

Autistic Disorder

Owns

 

 

 

AMSTED

 

ADIOS-OD

 

 

 

MIAMI IUSX

 

MIAMI RIO(

 

 

NO. Of OWLS

(95% CI)

NO. Of cuss

(95% CI)

Total

2,129,864

316

 

422

 

Vaccination

 

 

 

 

 

No

482,360

53

1.00

77

1.00

Yes

1,647,504

263

0.9210.68-1.24)

345

0.83(0.65-1.07)

Age a vaccination

 

 

 

 

 

Not vaccinated

482,360

53

1.00

77

1.00

C14 mo

200,003

38

1.18 (078-1.80)

43

0.88(0.60-1.28)

15-19 mo

1,320753

195

0.86 (0.63-1.17)

270

0.83(0.64-1.08)

20-24 mo

69,242

17

1.19 (0.69-2.07)

12

0.62(0.33-1.13)

25-35 mo

40,935

 

1.20 (0.63-2.31)

15

1.09 (0.63-1.91)

g 36 mo

16,572

2

0.56 (0.14-2.30)

5

0.64(0.26-1.59)

Interval since vaccination

 

 

 

 

 

Not vaccinated

482,360

53

1.00

77

1.00

<6 mo

212,805

3

0.39 (0.11-1.32)

8

1.18 (0.51-2.75)

6-11 mo

197,931

21

1.38 (076-2.51)

4

0.31(0.10-0.91)

12-17 mo

183,460

22

1.07 (0.59-1.95)

16

0.92(0.47-1.80)

18-23 mo

168,045

31

0.86 (0.52-1.41)

16

0.47(0.26-0.86)

24-29 mo

154,290

42

0.99 (0.61-1.58)

32

0.77(0.46-1.27)

30-35 mo

139,258

33

0.86 (0.54-1.38)

27

0.69(0.43-1.11)

36-59 mo

406,320

90

0.99 (0.66-1.50)

158

1.05 (0.77-1.45)

a60 mo

185,396

21

0.67(0.34-1.33)

84

0.75 (0.51-1.09)

Date of vxcination

 

 

 

 

 

Not vaccinated

482,360

53

1.00

77

1.00

1991-1992

248,646

31

1.00 (0.59-170)

61

0.75 (0.51-1.09)

1993-1994

659,152

81

073 (0.50-1.06)

146

0.74(0.56-0.99)

1995-1996

475,990

96

0.91 (0.63-1.30)

116

1.13(0.81-1.56)

1997-1999

263,716

55

1.35(0.84-2.17)

22

0.71 (0.40-1.24)

4. Do the data in Figure 2 above show an association between MMR vaccine and risk of autism?

5. Do the data in Figure 3 from Smeeth et al show an association between MMR vaccine and risk of autism?

FIGURE 3: Tables 1 and 2 from Smeeth et al 2004

Table 1: Association between Pervasive Developmental Disorder (PDD) and MMR vaccination before index date, before and after third birthday, and before and after age 18 months.

 

Unadjusted OR (95% CI) Adjusted OR (95% CI)*     p (for adjusted OR)

MMR vaccination before index date At any age

 

 

 

No MR vaccination

(1.0)

 

 

Vaccinated with WAR

0.73(059-091)

P86(0.68-1.09)

021

Before and after third birthday

 

 

 

No MMR vaccination

(1,0)

 

 

MMR vaccination before third birthday 0.75(060495)

OM (0-70-1.15)

039

MMR vaccination after third birthday

(168(0-50-09)

077 (0 55.148)

013

Before and after age 18 months

 

 

 

No ?AMR vaccination

(1.0)

 

 

MMR vaccination before 18 months

0.76 (0-60496)

0-90 (0.70-1-15)

0.39

Mrs* vaccination after 18 months

0.69(054-089)

080(041-1.05)

till

 

Unadjusted OR (95% CI)     Adjusted OR (95% CI)'

p (for adjusted OR)

MMR vaccination before index date Autism only

No WAR vaccination Vaccinated with WAR Other PDDs only

No WAR vaccination Vaccinated with 0.4MR

(1-0)

0-77 (060-0-98)

(1-0)

040 (l) 39-0,92)

01113 (067-119
0.75 (046- 1.23)

0.25

Section D: Conclusion

Since 1998, numerous well-designed studies have found no link between vaccines and autism (see table below). Why do you think some parents are still fearful of vaccines? What is your role as future healthcare providers in counseling patients about vaccines?

Table 1. Studies that fail to support an association between measles-mumps-rubella vaccine and autism.

Source Study design Study location
Taylor et al., 1999 [5] Ecological United Kingdom
Farrington et al., 2001 [6] Ecological United Kingdom
Kaye et al., 2001 [7] Ecological United Kingdom
Dales et al., 2001 [8] Ecological United States
Fombonne et al., 2006 [9] Ecological Canada
Fombonne and Chakrabarti, 2001 [10]  Ecological  United Kingdom 
Taylor et al., 2002 [11] Ecological  United Kingdom 
DeWilde et al., 2001 [12] Case-control  United Kingdom 
Makela et al., 2002 [13] Retrospective cohort  Finland 
Madsen et al., 2002 [14] Retrospective cohort  Denmark 
DeStefano et al., 2004 [15] Case-control  United States 
Peltola et al., 1998 [16] Prospective cohort  Finland 
Patja et al., 2000 [17) Prospective cohort Finland

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