Download - Basic Ideas and Terminology

Transcript
Page 1: Basic Ideas  and  Terminology

Basic Ideas and Basic Ideas and TerminologyTerminology

Ettore BeghiEttore Beghi

Institute for Institute for Pharmacological Research Pharmacological Research Mario Negri, Milano, ItalyMario Negri, Milano, Italy

Page 2: Basic Ideas  and  Terminology

EPIDEMIOLOGYEPIDEMIOLOGY

Discipline which studies the frequency and the

determinants of a given disease in a well-

defined population

Page 3: Basic Ideas  and  Terminology

PRINCIPAL AIMS OF PRINCIPAL AIMS OF EPIDEMIOLOGYEPIDEMIOLOGY

• Calculation of the distribution of a Calculation of the distribution of a disease in a given population disease in a given population

• Definition of risk factors and Definition of risk factors and etiological factorsetiological factors

• Development of strategies for Development of strategies for disease prevention disease prevention

• Planning of health assistancePlanning of health assistance

Page 4: Basic Ideas  and  Terminology

RELEVANT ISSUES IN RELEVANT ISSUES IN EPIDEMIOLOGICAL EPIDEMIOLOGICAL

STUDIESSTUDIES

• Representativeness of the study population

• Sources of cases• Diagnosis (disease definition)• Criteria for the assessment of

causality• Criteria for the assessment of disease

course and impact of treatments

Page 5: Basic Ideas  and  Terminology

CLASSIFICATION OF CLASSIFICATION OF EPIDEMIOLOGICAL EPIDEMIOLOGICAL

STUDIESSTUDIES• DESCRIPTIVE DESCRIPTIVE

(Population Survey)(Population Survey)

• In populationsIn populations• Frequency of diseaseFrequency of disease• Distribution of Distribution of

diseasedisease - - timetime - - placeplace - person- person

• ANALYTIC ANALYTIC (Case-control & (Case-control & Cohort Studies)Cohort Studies)

• In individualsIn individuals• Test casual Test casual

hypotheseshypotheses• Uncontrolled Uncontrolled

assignmentassignment

Page 6: Basic Ideas  and  Terminology

SAMPLING AND BIASSAMPLING AND BIAS

TargetTargetpopulationpopulation

IntendedIntendedsamplesample

ActualActualsamplesample

MeasurementsMeasurementsHypothesisHypothesis

testingtesting

Sampling Sampling biasesbiases

Page 7: Basic Ideas  and  Terminology

BIASBIAS

“Any systematic error in the design, Any systematic error in the design, conduct, or analysis of a study that conduct, or analysis of a study that results in a mistaken estimate of an results in a mistaken estimate of an exposure’s effect on the risk of exposure’s effect on the risk of disease”disease”Schlesselman, 1982Schlesselman, 1982

Page 8: Basic Ideas  and  Terminology

DIAGRAM OF THE DIAGRAM OF THE IDENTIFICATION OF A DISEASE IDENTIFICATION OF A DISEASE IN THE GENERAL POPULATIONIN THE GENERAL POPULATION

Kurtzke, 1978Kurtzke, 1978

Page 9: Basic Ideas  and  Terminology

SOURCES OF NEUROLOGICAL SOURCES OF NEUROLOGICAL DISEASES IN DISEASES IN

EPIDEMIOLOGICAL STUDIES EPIDEMIOLOGICAL STUDIES • Hospital records• Ambulatory records• Electrophysiological (EMG) records• General practitioners’ files• Disability records• Lay associations• Tertiary centers• Death certificates• Diagnosis related groups (DRGs)• Disease registries

Page 10: Basic Ideas  and  Terminology

MEASURES OF DISEASE MEASURES OF DISEASE FREQUENCYFREQUENCY

• INCIDENCEINCIDENCE: Number of individuals in a : Number of individuals in a population that become ill in a stated population that become ill in a stated period of timeperiod of time

• CUMULATIVE INCIDENCECUMULATIVE INCIDENCE: Proportion of : Proportion of a fixed population that becomes ill in a a fixed population that becomes ill in a stated period of timestated period of time

• PREVALENCEPREVALENCE: Proportion of a population : Proportion of a population affected by a disease at a given point of affected by a disease at a given point of timetime

• MORTALITYMORTALITY: Number of individuals in a : Number of individuals in a population died for a disease in a stated population died for a disease in a stated period of timeperiod of time

Page 11: Basic Ideas  and  Terminology

PREVALENCE AND PREVALENCE AND INCIDENCEINCIDENCE

MigratingMigratinginin

MigratingMigratingoutout

RecoveryRecoveryDeathDeath

IncidenceIncidence

PrevalenPrevalencece

Prevalence = Incidence Prevalence = Incidence x average durationx average duration

Page 12: Basic Ideas  and  Terminology

DIAGNOSIS

• In the presence of diagnostic markers, the diagnostic process is simplified

• In the absence of diagnostic markers, the diagnosis is based on criteria implying a validation process and consensus among caring physicians

Page 13: Basic Ideas  and  Terminology

VALIDITY & RELIABILITY OF A DIAGNOSTIC TEST

• VALIDITY: capability to identify as positive those affected by the disease and as negative those not affected by the disease

• RELIABILITY: capability to obtain the same results in different occasions (1. Assessment of the same patient at different times; 2. Assessment of the same patient by different investigators)

Page 14: Basic Ideas  and  Terminology

VALIDITY OR ACCURACYVALIDITY OR ACCURACY

True True positives positives (a)(a)

False False positives positives (b)(b)

False False negatives negatives (c)(c)

True True negatives negatives (d)(d)

TestTest

DiseaseDisease

PositivPositivee

NegativeNegative

PositiPositiveve

NegativeNegative

Sensitivity = Sensitivity = True positivesTrue positives___ ___ a__a__ PPV = PPV = True True positives__ positives__ a__a__

Total with dis Total with dis a+ca+c Total Total tested pos tested pos a+ba+b

Specificity = Specificity = Total negatives_Total negatives__ _ d d NPV = NPV = True True negatives_ negatives_ d__d__ Total without dis Total without dis b+d b+d Total Total tested neg tested neg c+dc+d

Page 15: Basic Ideas  and  Terminology

EPILEPTIFORM ABNORMALITIES

General Population (n=1000)

55 334040

955955

Goodin & Aminoff, Goodin & Aminoff, 19841984

Sens = 60% Spec = Sens = 60% Spec = 96%96%PPV = 7% NPV = 99%PPV = 7% NPV = 99%

Page 16: Basic Ideas  and  Terminology

EPILEPTIFORM ABNORMALITIES

Epilepsy Center (n=1000)

Goodin & Aminoff, Goodin & Aminoff, 19841984

260 260 240240

2020

480480

Sens = 52% Spec = 96%Sens = 52% Spec = 96%VPP = 93% VPN = 67%VPP = 93% VPN = 67%

Page 17: Basic Ideas  and  Terminology

RELIABILITYRELIABILITY

RepeatabilityRepeatabilityor or

AgreementAgreement

InterobserverInterobserver

IntraobserverIntraobserver

ObserverObserver InstrumentInstrument ObjectObject

Page 18: Basic Ideas  and  Terminology

RELIABILITYRELIABILITY

True True positives positives (a)(a)

False False positives positives (b)(b)

False False negatives negatives (c)(c)

True True negatives negatives (d)(d)

Observer 1Observer 1

Observer 2Observer 2

PositivPositivee

NegativeNegative

PositiPositiveve

NegativeNegative

Percent Percent = = Positive + negative agreementsPositive + negative agreements x 100 = x 100 = a+da+d x 100 x 100Agreement All observations Agreement All observations NN

Kappa = Kappa = Observed % agreement – Expected % Observed % agreement – Expected % agreementagreement

100% - expected % agreement100% - expected % agreement

Page 19: Basic Ideas  and  Terminology

KAPPA STATISTIC

• Parameter quantifying inter-rater agreement adjusting for chance agreement

• Its value ranges from 0 (chance agreement) to 1 (perfect agreement)

• As measured by kappa, agreement is poor (<0.25), fair (0.25-0.50), good (0.50-0.75), almost perfect (>0.75)

Page 20: Basic Ideas  and  Terminology

INTER-OBSERVER INTER-OBSERVER AGREEMENT ON EEG AGREEMENT ON EEG

CONCLUSIONSCONCLUSIONS(Dichotomous Scale)(*)(Dichotomous Scale)(*)

ReportReport ObserveObserved d agreemeagreementnt

Expected Expected agreemeagreementnt

K (SE)K (SE)

NormalNormal

Standard EEGStandard EEG

Sleep-depr Sleep-depr EEGEEG

0.730.73

0.730.730.500.50

0.540.54.47 .47 (12)(12)

.42 .42 (13)(13)

EpileptiformEpileptiform

Standard EEGStandard EEG

Sleep-depr Sleep-depr EEGEEG

0.840.84

0.730.730.610.61

0.550.55.59 .59 (13)(13)

.41 .41 (13)(13)

Van Donselaar et al, Van Donselaar et al, 19921992

(*)(*) Epileptiform = Epileptiform =

yes/noyes/no

Page 21: Basic Ideas  and  Terminology

OBSERVATIONAL OBSERVATIONAL CRITERIA FOR CRITERIA FOR CAUSATIONCAUSATION

• Temporal sequence• Consistency of association• Strength of association• Biological gradient• Specificity of association• Biological plausibility

Bradford-Hill, Bradford-Hill, modifiedmodified

Page 22: Basic Ideas  and  Terminology

DESIGN OF STUDIES ASSESSING DESIGN OF STUDIES ASSESSING DISEASE ETIOLOGYDISEASE ETIOLOGY

Schoenberg, 1983Schoenberg, 1983

Page 23: Basic Ideas  and  Terminology

ODDS RATIO (OR)

• Is a measure of association closely related to the relative risk (RR)

• Approximates the RR for rare diseases• In the 2 x 2 table Disease

Exposure Yes NoYes A BNo C D Odds of exposure A/C among the cases and B/D in the controls; the ratio of the odds of exposure is:OR = (A/C) : (B/D) = AD / BC

Page 24: Basic Ideas  and  Terminology

RELATIVE RISK (RR)RELATIVE RISK (RR)

• The relative risk is the The relative risk is the ratioratio between the rate (risk) of between the rate (risk) of disease in disease in those with the those with the exposure factorexposure factor and the rate and the rate (risk) of disease in (risk) of disease in those without those without the factorthe factor

RR = RR = R (exp) / R (nexp)R (exp) / R (nexp)

Page 25: Basic Ideas  and  Terminology

RELEVANCE OF CAUSAL RELEVANCE OF CAUSAL ASSOCIATIONASSOCIATION

• Relative Risk or Odds RatioRelative Risk or Odds Ratio

- - DefiniteDefinite> 10> 10 - - Highly Highly probableprobable 4-104-10 - - ProbableProbable 2.5-3.92.5-3.9- - PossiblePossible 1.1-2.41.1-2.4

Page 26: Basic Ideas  and  Terminology

Considerations When Considerations When Studying MortalityStudying Mortality

• Death among people with the conditionDeath among people with the condition

• Death due to the conditionDeath due to the condition

Courtesy of Giancarlo LogroscinoCourtesy of Giancarlo Logroscino

Page 27: Basic Ideas  and  Terminology

STANDARDIZED MORTALITY RATIO

• The standardized mortality ratio or SMR, is a quantity, expressed as either a ratio or percentage quantifying the increase or decrease in mortality of a study cohort with respect to the general population

Page 28: Basic Ideas  and  Terminology

WHY TO CALCULATE THE WHY TO CALCULATE THE STUDY POWERSTUDY POWER

• A study should be sufficiently large to A study should be sufficiently large to avoid two important statistical errors:avoid two important statistical errors:

- Assuming - Assuming that a difference between groups is real that a difference between groups is real while it is a chance finding (while it is a chance finding (alpha erroralpha error))

- Assuming - Assuming that there are no differences between that there are no differences between groups when a difference is actually groups when a difference is actually present (present (beta errorbeta error))