10. ECM 2 - Understanding Causation Flashcards

1
Q

what does PICO stand for

A

P - POPULATION, PATIENTS
I - INTERVENTION
C - CONTROL INTERVENTION, non-exposed or no risk factor
O - OUTCOME

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2
Q

how would you change this bad question ‘Does smoking cause heart attacks?’ into a GOOD QUESTION using PICO

A

In adults aged 35+ (POPULATION), Smoking 1+ Cigarettes per day (INTERVENTION/EXPOSURE) compared to no smoking (CONTROL) increase the incidence of fatal and non-fatal acute myocardial infarction? (OUTCOME)

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3
Q

CONFOUNDING occurs when the association between an EXPOSURE and OUTCOME becomes DISTORTED by a THIRD VARIABLE

what are the 3 CRITERIA for a CONFOUNDER

A
  1. ASSOCIATED WITH EXPOSURE
  2. ASSOCIATED WITH DISEASE/OUTCOME (risk factor)
  3. NOT PART OF THE CAUSAL CHAIN FROM EXPOSURE TO OUTCOME (not caused by the exposure and thus causing the outcome)

eg.
exposure - consumption of ice-cream
outcome - timing of riots

possible confounder: good weather

eg2.
exposure - Baldness
outcome - Coronary Heart Disease

Confounder: Age

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4
Q

if RISK RATIO (RR) GREATER THAN 1 what does it mean

A

there is an ASSOCIATION between the variables

Higher above 1 means stronger association

risk ratio = 1 means no difference / no association

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5
Q

what are 2 ways researchers can use to adjust for CONFOUNDING in DATA ANALYSIS

A
  1. REGRESSION ANALYSIS
  2. STRATIFICATION (separating the data i.e data for association between baldness and CHD separately by age group, young and old men)
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6
Q

can HYPERTENSION be a CONFOUNDER for the ASSOCIATION between OBESITY and CVD

A

NO, as it is on the CAUSAL CHAIN

Obesity -> Hypertension -> CVD

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7
Q

to understand if the EXPOSURE is ASSOCIATED with the OUTCOME what do we need

A

STUDY DESIGNS

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8
Q

2 Main aspects to understands different STUDY DESIGNS

A
  • is the OUTCOME MEASURED BEFORE or AFTER measuring the EXPOSURE?
  • How are you dealing with CONFOUNDING?
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9
Q

STUDY DESIGN type that OBSERVES both EXPOSURE and OUTCOME AT THE SAME TIME

A

CROSS-SECTIONAL

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10
Q

STUDY DESIGN type that OBSERVES OUTCOME FIRST (selects people with the outcome ie heart disease) and then looks back at if they have EXPOSURE (ie then look at their shoe size)

A

CASE-CONTROL DESIGN

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11
Q

STUDY DESIGN type that 1ST OBSERVES EXPOSURE and then FOLLOWS them over time until there is an OUTCOME (future)

A

COHORT DESIGN

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12
Q

STUDY DESIGN TYPE that SETS THE EXPOSURE (not observes) ie selects people who don’t already have the outcome (ie heart disease) and put them into RANDOM groups, some are GIVEN EXPOSURE (ie drug) and some are given PLACEBO. then FOLLOW them over time

A

RANDOMISED TRIAL Design

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13
Q

what is the BEST STUDY DESIGN for ensuring CAUSAL EFFECT and NOT CONFOUNDED

A

RANDOMISED TRIAL

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14
Q

for which STUDY DESIGNS use
OBSERVATIONAL DESIGN (observe the exposure not cause)
and the METHOD used to account for CONFOUNDERS is STRATIFICATION, MATCHING OR ADJUSTMENT

A

CROSS-SECTIONAL

CASE-CONTROL

COHORT

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15
Q

for RANDOMISED TRIAL DESIGN

  1. do you observe or cause the exposure?
  2. what method is used to account for confounders?
A
  1. EXPERIMENTAL DESIGN - cause the exposure
  2. RANDOMIZATION
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16
Q

for CUASI-EXPERIMENTAL DESIGN

  1. do you observe or cause the exposure?
  2. what method is used to account for confounders?
A
  1. EXPERIMENTAL DESIGN - cause the exposure
  2. STRATIFICATION, MATCHING OR ADJUSTMENT
    (not randomising the exposure so not as good at defining if confounders or not)
17
Q

for CROSS-SECTIONAL DESIGN

  1. do you observe or cause the exposure?
  2. what method is used to account for confounders?
A
  1. OBSERVATIONAL DESIGN
  2. STRATIFICATION, MATCHING OR ADJUSTMENT

and same for CASE-CONTROL and COHORT DESIGN

18
Q

what is the BRADFORD-HILL CRITERIA for ‘ASSOCIATION or CAUSATION?’

A
  • STRENGTH of effect?
  • Dose-RESPONSE?
  • OVERTIME and Overseas ie. consistency
  • FOLLOWS exposure?
  • DESIGN of Experiment
  • ANIMAL model established?
  • REVERSIBILITY?
  • BIOLOGICAL PLAUSIBILITY?

(BRADORDS acronym)