Analyzing Randomized Control Trial: ITT vs. PP vs. AT Proceedings from Journal club…..

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Analyzing Randomized Control Trial: ITT vs. PP vs. AT Proceedings from Journal club….. Vikash

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Analyzing Randomized Control Trial: ITT vs. PP vs. AT Proceedings from Journal club…. Vikash . Basic Analysis of RCT:. To calculate: Relative Risk (RR) Relative Risk Ratio (RRR) Attributable Risk (AR) Absolute Risk Reduction (ARR) Number Needed to treat (NNT) - PowerPoint PPT Presentation

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Page 1: Analyzing Randomized Control Trial: ITT vs. PP vs. AT Proceedings from Journal club…..

Analyzing Randomized Control Trial: ITT vs. PP vs. AT

Proceedings from Journal club…..

Vikash

Page 2: Analyzing Randomized Control Trial: ITT vs. PP vs. AT Proceedings from Journal club…..

Basic Analysis of RCT:• To calculate:

– Relative Risk (RR)– Relative Risk Ratio (RRR)– Attributable Risk (AR)– Absolute Risk Reduction (ARR)– Number Needed to treat (NNT)

• For Time dependant analysis – Survival Analysis by Kaplan- Mier or by Cox

Proportional Model.• Then, Apply test of Significance.

Page 3: Analyzing Randomized Control Trial: ITT vs. PP vs. AT Proceedings from Journal club…..

• For Dichotomous Outcome:

• RR = ID (Exposed)/ ID (Unexposed) = a/a +b / c /c +D• RRR = 1 – RR• ARR = ID (Unexposed) - ID (Exposed)

Disease Present

Disease Absent

Total

Experimental Group

a b a + b

Control Group

c d C + d

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• Attributable Risk = (OR – 1) PE / 1+ [ (OR-1) PE] x 100• Where OR = Odds Ratio = ad / bc

• Number Needed to treat (NNT) = 1/ARR

• RR = 0. 4 /0.5 = 0.8• RRR = 0.2• ARR = 0.2 – 0.25 = - 0.05• NNT = 1/ARR = 20

TB No TB Total

Cont. Isoniazid

40 160 200

Isoniazid 6 month

50 150 200

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Intention to treat Analysis• Also called As randomized or Method Effectiveness

analysis.• Compare outcome according to the randomized group

(Gold Standard).• Adherence to intervention not necessary.

Advantages:• Randomization is maintained:

– Treatment assignment is based on chance alone.– Randomization provides Theoretical foundation for

Statistical test of significance. Disadvantages:

– Doesn’t take into account Protocol violation.

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• Group may not be comparable at the end.– Not adhering to treatment or vice versa.– Eligibility for the trial was incorrect.– Loss to follow up.

• Estimates of non – complied in the efficacy dilutes difference between groups.

• Analysis may underestimate adverse effect.

Why gold standard ?

• Randomization is maintained• Difficulty in defining compliance.• Effect in complied group may be due to factor of

compliance.

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Per Protocol Analysis:

• Analyze only those who fully complied to protocol.• Doesn’t included cross- over in final analysis.• Provides fair idea of efficacy for treatment.• May be Biased (randomization compromised)

As treated Analysis:

• Subject analyzed according to treatment taken or not. (no relation with randomization).• Non compliant from treatment and vice versa analyzed

accordingly.• AT is shown if ITT shows no effect ( why trial done).

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InterventionGroup

ControlGroup

Randomize

GotTreatment

Did NOT gettreatment

GotTreatment

Did NOT gettreatment

YESYES NO NOInterntion-to-Treat

YES

YES

DROP

NO

DROP

YES

NO

NO

Per protocol

As Treated

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• Hypothetical Example: RCT to see the effect of Aspirin in incidence of

Myocardial Re-infarction in patient with h/o MI.

• ARR by ITT = 20.833% - 16.66% = 4.17%• ARR by PP = 23% - 16.66% = 6.34%• ARR by AT = 21.25% - 16.25% = 5%

Re- infarct No Re-infarct

Total (adhered to t/t)

Aspirin 40 (5) 200 240 (210)Placebo 50 (4) 190 240 (200)

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References:• Redmond C, Armitage P editors. Biostatics in Clinical

Trials. 1st ed. Sussex. John Wiley & Sons ltd. 2001. p243- 6.

• Haynes RB, Sacket DL, Guyat GH, Tugwell P. Clinical Epidemiology. 3rd ed. Baltimore. Lippincott Williams & Wilkins.2006. p 95 & 116.

• Fletcher RW, Fletcher SW. Clinical Epidemiology: the essential. 4th ed. Baltimore. Lippincott Williams & Wilkins. 2005. p 136-9.