Intention-to-treat versus as-treated versus per-protocol approaches to analysis

Randomized controlled trials (RCTs) are considered the most rigorous study design for testing hypotheses and the gold standard for evaluating intervention effectiveness. However, RCTs are often conducted under the assumption of ideal conditions that may differ from real-world scenarios in which vari...

Full description

Bibliographic Details
Main Authors: EunJin Ahn, Hyun Kang
Format: Article
Language:English
Published: Korean Society of Anesthesiologists 2023-12-01
Series:Korean Journal of Anesthesiology
Subjects:
Online Access:http://ekja.org/upload/pdf/kja-23278.pdf
_version_ 1797448003477307392
author EunJin Ahn
Hyun Kang
author_facet EunJin Ahn
Hyun Kang
author_sort EunJin Ahn
collection DOAJ
description Randomized controlled trials (RCTs) are considered the most rigorous study design for testing hypotheses and the gold standard for evaluating intervention effectiveness. However, RCTs are often conducted under the assumption of ideal conditions that may differ from real-world scenarios in which various issues, such as loss to follow-up, mistakes in participant enrollment or intervention, and low subject compliance or adherence, may occur. There are various group-defining strategies for analyzing RCT data, including the intention-to-treat (ITT), as-treated, and per-protocol (PP) approaches. The ITT principle involves analyzing all participants according to their initial group assignments, regardless of study completion and compliance or adherence to treatment protocols. This approach aims to replicate real-world clinical settings in which several anticipated or unexpected conditions may occur with regard to the study protocol. For the PP approach, only participants who meet the inclusion criteria, complete the interventions according to the study protocols, and have primary outcome data available are included. This approach aims to confirm treatment effects under optimal conditions. In general, the ITT principle is preferred for superiority and inequality trials, whereas the PP approach is preferred for equivalence and non-inferiority trials. However, both analytical approaches should be conducted and their results compared to determine whether significant differences exist. Overall, using both the ITT and PP approaches can provide a more complete picture of the treatment effects and ensure the reliability of the trial results.
first_indexed 2024-03-09T14:04:07Z
format Article
id doaj.art-970d184d004e490f8c71cdbb1e43ad1c
institution Directory Open Access Journal
issn 2005-6419
2005-7563
language English
last_indexed 2024-03-09T14:04:07Z
publishDate 2023-12-01
publisher Korean Society of Anesthesiologists
record_format Article
series Korean Journal of Anesthesiology
spelling doaj.art-970d184d004e490f8c71cdbb1e43ad1c2023-11-30T05:20:04ZengKorean Society of AnesthesiologistsKorean Journal of Anesthesiology2005-64192005-75632023-12-0176653153910.4097/kja.232788935Intention-to-treat versus as-treated versus per-protocol approaches to analysisEunJin Ahn0Hyun Kang Department of Anesthesiology and Pain Medicine, Chung-Ang University College of Medicine, Seoul, KoreaRandomized controlled trials (RCTs) are considered the most rigorous study design for testing hypotheses and the gold standard for evaluating intervention effectiveness. However, RCTs are often conducted under the assumption of ideal conditions that may differ from real-world scenarios in which various issues, such as loss to follow-up, mistakes in participant enrollment or intervention, and low subject compliance or adherence, may occur. There are various group-defining strategies for analyzing RCT data, including the intention-to-treat (ITT), as-treated, and per-protocol (PP) approaches. The ITT principle involves analyzing all participants according to their initial group assignments, regardless of study completion and compliance or adherence to treatment protocols. This approach aims to replicate real-world clinical settings in which several anticipated or unexpected conditions may occur with regard to the study protocol. For the PP approach, only participants who meet the inclusion criteria, complete the interventions according to the study protocols, and have primary outcome data available are included. This approach aims to confirm treatment effects under optimal conditions. In general, the ITT principle is preferred for superiority and inequality trials, whereas the PP approach is preferred for equivalence and non-inferiority trials. However, both analytical approaches should be conducted and their results compared to determine whether significant differences exist. Overall, using both the ITT and PP approaches can provide a more complete picture of the treatment effects and ensure the reliability of the trial results.http://ekja.org/upload/pdf/kja-23278.pdfdata analysisintention to treat analysisintervention studyrandomized controlled trialstatisticstreatment outcome
spellingShingle EunJin Ahn
Hyun Kang
Intention-to-treat versus as-treated versus per-protocol approaches to analysis
Korean Journal of Anesthesiology
data analysis
intention to treat analysis
intervention study
randomized controlled trial
statistics
treatment outcome
title Intention-to-treat versus as-treated versus per-protocol approaches to analysis
title_full Intention-to-treat versus as-treated versus per-protocol approaches to analysis
title_fullStr Intention-to-treat versus as-treated versus per-protocol approaches to analysis
title_full_unstemmed Intention-to-treat versus as-treated versus per-protocol approaches to analysis
title_short Intention-to-treat versus as-treated versus per-protocol approaches to analysis
title_sort intention to treat versus as treated versus per protocol approaches to analysis
topic data analysis
intention to treat analysis
intervention study
randomized controlled trial
statistics
treatment outcome
url http://ekja.org/upload/pdf/kja-23278.pdf
work_keys_str_mv AT eunjinahn intentiontotreatversusastreatedversusperprotocolapproachestoanalysis
AT hyunkang intentiontotreatversusastreatedversusperprotocolapproachestoanalysis