Inconsistent Definitions for Intention-To-Treat in Relation to Missing Outcome Data: Systematic Review of the Methods Literature
Open accessAbstract
BACKGROUND: Authors of randomized trial reports seem to hold a variety of views regarding the relationship between missing outcome data (MOD) and intention to treat (ITT). The objectives of this study were to systematically investigate how authors of methodology articles define ITT in the presence of MOD, how they recommend handling MOD under ITT, and to make a proposal for potential improvement in the definition and use of ITT in relation to MOD. METHODS AND FINDINGS: We systematically searched MEDLINE in February 2009 for methodological articles written in English that devoted at least one paragraph to ITT and two other paragraphs to either ITT or MOD. We excluded original trial reports, observational studies, and clinical systematic reviews. Working in teams of two, we independently extracted relevant information from each eligible article. Of 1007 titles and abstracts reviewed, 66 articles met eligibility criteria. Five (8%) did not provide a definition of ITT; 25 (38%) mentioned MOD but did not discuss its relationship to ITT; and 36 (55%) discussed the relationship of MOD with ITT. These 36 articles described one or more of three statements: complete follow-up is required for ITT (58%); ITT and MOD are separate issues (17%); and ITT requires a specific strategy for handling MOD (78%); 17 (47%) endorsed more than one relationship. The most frequently mentioned strategies for handling MOD within ITT were: using the last outcome carried forward (50%); sensitivity analysis (50%); and use of available data to impute missing data (46%). CONCLUSION: We found that there is no consensus on the definition of ITT in relation to MOD. For conceptual clarity, we suggest that both reports of randomized trials and systematic reviews separately consider and describe how they deal with participants with complete data and those with MOD.
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Many analyses are described as intention to treat but apply variable definitions in terms of handling missing outcome data or excluding participants who deviate from the intervention or follow-up protocols.
“Many analyses are described as intention to treat but apply variable definitions in terms of handling missing outcome data (item 27c) or excluding participants who deviate from the intervention or follow-up protocols.421 422”
From SPIRIT 2025 explanation and elaboration: updated guideline for protocols of randomised trials (2025) · cites this paper as [421]
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References 24 · Cited by 126
Research works printed but not linked: 1
- [17]Higgins JPT, Deeks JJ, Altman DG, on behalf of the Cochrane Statistical Methods Group. (2009) Intention-to-treat issues. Cochrane handbook chapter 16.2 Available: http://www.cochrane-handbook.org. Accessed 2011 Mar 14.
- Authors
- Alshurafa, M., Briel, M., Akl, E. A., Haines, T., Moayyedi, P., Gentles, S. J., Rios, L., Tran, C., Bhatnagar, N., Lamontagne, F., Walter, S. D., & Guyatt, G. H.
- Affiliations
- McMaster University (CA)
- University of Basel (CH)
- University at Buffalo, State University of New York (US)
- Corresponding author
- Briel, Matthias
- ORCID
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2012-11-15
- Volume
- 7
- Issue
- 11
- Pages
- e49163
- ISSN
- 1932-6203 (ISSN-L)
- PMC
- PMC3499557
- OpenAlex
- W2065378584
- Cited by
- 126
- References
- 24
- Citations by year
- 2026: 4 · 2025: 6 · 2024: 7 · 2023: 3 · 2022: 2 · 2021: 10 · 2020: 8 · 2019: 15 · 2018: 17 · 2017: 13 · 2016: 14 · 2015: 8 · 2014: 12 · 2013: 6
- FWCI
- 1.24
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- PLoS ONE (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Figshare (submittedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Canadian Institutes of Health Research
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
- Keywords
- intention-to-treat analysis, missing outcome data, missing data handling, sensitivity analysis, multiple imputation, trial methodology reporting
- MeSH terms
- Terminology as Topic, Research Design, Selection Bias, Randomized Controlled Trials as Topic, Intention to Treat Analysis
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