Critical Appraisal Bias - Randomization/Concealment Flashcards

1
Q

Benefits of randomizations

A

Treatment and control group is more balanced in regards to known/unknown prognostic factors

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2
Q

Negatives of Observational Studies

A

Tend to over estimate treatment effects because of unbalanced groups based on prognostic factors

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3
Q

Observational Studies and Bias

A

Can try to match patients based on their prognostic factors
- Problem: Some prognostic factors are unknown at the time

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4
Q

Were patient’s randomized
- Effect on risk of bias

A

Yes, Low risk of bias

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5
Q

Randomization concealment

A

Is not the same as blinding
- Refers to if the process of randomization (Allocation Concealment)

It is important to ensure those involved in gathering participants are separate from the randomization process

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6
Q

Importance of Allocation Concealment

A

Trials that did not use it had 40% larger estimates of effect
- Treatment was overestimated
- Can allocate certain patients with specific prognostic into certain groups

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7
Q

Simple Randomization

A

Equal chance of allocation into both groups
- Does not work with small sample sizes

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8
Q

Blocked Randomization

A

Randomize in blocks to get relatively equal number of patients

Pro: Similar Sized groups to help imbalance
Con: Can be predictable

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9
Q

Stratified Randomization

A

Stratify patients based on known prognostic factors
- Then randomly allocate those within the same strata into treatment groups

Helps balance factors like treatment site, age, sex

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10
Q

Blinding vs Allocation Concealment

A

Blinding is having the patient, researcher, and clinicians unaware of what intervention has been assigned to the patient
- Cant always have blinding

Allocation concealment is preventing the recruiter from predicting the assignment of intervention
- Can always have allocation concealment

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11
Q

Strong Concealment Mechanisms

A

Web Based
Telephone System

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12
Q

Method of Sequence

A

Randomization sequences

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13
Q

Prognostic Balance

A

Have to ensure that patients of the study are from similar prognostic groups or else it can cause bias.
- Patients from hospital compared to patients in community

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14
Q

Sample size effect on prognostic factors

A

The larger the sample size the more similar the groups will be

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15
Q

How to acheive prognostic balance

A

Main purpose of randomization is to achieve prognostically similar groups
- Does not always work

Increasing sample size will make groups more similar

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16
Q

How to test if 2 groups are different

A

P-Value
- 1 in 20 chance to fail

Magnitude of the Differences is the preferred method