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    Clinical & Trials

    Intent-to-Treat vs Per-Protocol(ITT / PP)

    In one line
    Two analysis populations: ITT analyzes everyone randomized; PP analyzes only those compliant with protocol.
    Definition
    ITT preserves randomization and is the primary analysis for superiority trials. Per-Protocol analyses are typically supportive - and primary in non-inferiority trials, where ITT can bias toward 'no difference'. ITT analyzes all randomized subjects in their assigned group, whatever happened next, while per-protocol excludes subjects with major protocol deviations. Modified ITT variants, such as subjects who received the device, are common in device trials and must be defined in advance. The ICH E9(R1) estimand framework now encourages sponsors to state exactly which treatment effect they are estimating.
    Why it matters
    Non-inferiority device trials require pre-specified analysis populations and consistent ITT/PP results; mismatch is a frequent reason for FDA panel debate.
    Common pitfalls
    • •Misinterpreting an ITT analysis that shows no significant difference as a definitive lack of treatment effect, when a PP analysis might reveal otherwise.
    • •Failing to pre-specify the analysis populations for both ITT and PP analyses in the clinical trial protocol.
    • •Not adequately addressing discrepancies between ITT and PP results in regulatory submissions, leading to questions or objections from regulatory bodies.
    • •Applying ITT analysis as the primary endpoint in a non-inferiority trial without careful consideration of its potential to bias the results toward equivalence.
    • •Excluding participants from the ITT analysis who dropped out or did not adhere to the protocol, thereby compromising the integrity of randomization.
    Sources
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    Why compare MedTech terms side by side?

    MedTech terminology is full of pairs that look interchangeable but carry very different regulatory, clinical, and commercial consequences. Picking the wrong framework, pathway, or standard early in a project can add months to a submission, invalidate clinical evidence, or trigger an audit finding. Side-by-side comparison is the fastest way to surface those differences before they become costly mistakes.

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