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Discordance between reported intention-to-treat and per protocol analyses
Abstract
Objective To quantify the degree of disagreement between the two most popular methods for dealing with missing data: intention to treat (ITT) and per protocol (PP). Study design and setting We performed a systematic review of randomized two-armed clinical trials (CTs) published between 2001 and 2003, abstracted in PubMed and reporting both the ITT and PP analyses on a primary binary endpoint, out of which 74 papers were finally selected. The treatment effect of each CT was measured by the odds ratio, and the disagreement between them was quantified by the Bland-Altman method. Results On average, the PP estimator provides greater values Log(e)ORPP=1 x 25.Log(e)ORITT, (95% CI: 1.15, 1.35) than the corresponding ITT estimator, although the limits of concordance showed that the ratio between the two estimators varies greatly from 0.39 up to 2.53. Conclusion These results confirm that missing values may cause both systematic and unpredictable bias in CTs. Further efforts should be made to minimize protocol deviations and to use better statistical methods to highlight the drawbacks of missing information. In the presence of protocol deviations, the conclusion of a CT cannot rest on the single reporting of either the ITT or the PP approach alone.
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In the presence of protocol deviations, the conclusion of the effect of treatment cannot rest on either per protocol or intent-to-treat analyses alone.
“That said, in the presence of protocol deviations, the conclusion of the effect of treatment cannot rest on either per protocol or intent-to-treat analyses alone (Porta et al., 2007).”
From Do growth mindset interventions impact students’ academic achievement? A systematic review and meta-analysis with recommendations for best practices. (2023) · cites this paper as Porta et al., 2007
Citations
Cites
Moher, D., Schulz, K. F., & Altman, D. G. (2001) · The Lancet · doi:10.1016/s0140-6736(00)04337-3 · Cited by 5,373
Randomized, Controlled Trials, Observational Studies, and the Hierarchy of Research Designs
Concato, J., Shah, N., & Horwitz, R. I. (2000) · New England Journal of Medicine · doi:10.1056/nejm200006223422507 · Cited by 3,563
Evaluating non-randomised intervention studies
Deeks, J., Dinnes, J., D'Amico, R., Sowden, A., Sakarovitch, C., Song, F., Petticrew, M., & Altman, D. (2003) · Health Technology Assessment · doi:10.3310/hta7270 · Cited by 2,907
Moher, D., Schulz, K. F., & Altman, D. G. (2001) · BMC Medical Research Methodology · doi:10.1186/1471-2288-1-2 · Cited by 2,755
Moher, D., Schulz, K. F., Altman, D. G., & for the CONSORT Group* (2001) · Annals of Internal Medicine · doi:10.7326/0003-4819-134-8-200104170-00011 · Cited by 1,426
Statistical Considerations in the Intent-to-Treat Principle
Lachin, J. M. (2000) · Controlled Clinical Trials · doi:10.1016/s0197-2456(00)00046-5 · Cited by 652
Handling drop‐out in longitudinal studies
Hogan, J. W., Roy, J., & Korkontzelou, C. (2004) · Statistics in Medicine · doi:10.1002/sim.1728 · Cited by 404
Flagged first, then by citations
Research works printed but not linked: 32
- Cobo, 2004, Diseño y análisis de un ensayo clínico: el aspecto más crítico, Med Clin (Barc), 122, 184, 10.1157/13057825 · DOI
- Benson, 2000, A comparison of observational studies and randomized, controlled trials, N Engl J Med, 342, 1878, 10.1056/NEJM200006223422506 · DOI · Paper page
- Emanuel, 2000, What makes clinical research ethical?, JAMA, 283, 2701, 10.1001/jama.283.20.2701 · DOI · Paper page
- Wright, 2003, Intention-to-treat approach to data from randomized controlled trials: a sensitivity analysis, J Clin Epidemiol, 56, 833, 10.1016/S0895-4356(03)00155-0 · DOI · Paper page
- Food and Drug Administration, 1998, International conference on harmonization: statistical principles for clinical trials, Fed Regist, 63, 49583
- Chêne, 1998, Intention-to-treat vs on-treatment analyses of clinical trial data, Control Clin Trials, 19, 233, 10.1016/S0197-2456(97)00145-1 · DOI
- Shih, 1997, Testing for treatment differences with dropouts present in clinical trials—a composite approach, Stat Med, 16, 1225, 10.1002/(SICI)1097-0258(19970615)16:11<1225::AID-SIM548>3.0.CO;2-Y · DOI
- Collet, 1991, Sick population—treated population: the need for a better definition, Eur J Clin Pharmacol, 41, 267, 10.1007/BF00314951 · DOI
- Snapinn, 2004, Informative noncompliance in endpoint trials, Curr Control Trials Cardiovasc Med, 5, 5, 10.1186/1468-6708-5-5 · DOI
- Ross, 2004, In a randomized controlled trial, missing data led to biased results regarding anxiety, J Clin Epidemiol, 57, 1131, 10.1016/j.jclinepi.2004.03.010 · DOI
- Myers, 2000, Handling missing data in clinical trials: an overview, Drug Inf J, 34, 525, 10.1177/009286150003400221 · DOI
- Sheiner, 1995, Intention-to-treat analysis and the goals of clinical trials, Clin Pharmacol Ther, 57, 6, 10.1016/0009-9236(95)90260-0 · DOI
- Choi, 1995, Effect of non-random missing data mechanisms in clinical trials, Stat Med, 14, 2675, 10.1002/sim.4780142407 · DOI
- Lee, 1991, Analysis of clinical trials by treatment actually received: is it really an option?, Stat Med, 10, 1595, 10.1002/sim.4780101011 · DOI
- Carrasco, 2004, Métodos estadísticos para evaluar la concordancia, Med Clin (Barc), 122, 28, 10.1157/13057543 · DOI
- Lin, 1989, A concordance correlation coefficient to evaluate reproducibility, Biometrics, 45, 255, 10.2307/2532051 · DOI · Paper page
- Brittain, 2005, A comparison of intent-to-treat and per-protocol results in antibiotic non-inferiority trials, Stat Med, 24, 1, 10.1002/sim.1934 · DOI
- Herring, 2004, Non-ignorable missing covariate data in survival analysis: a case-study of an International Breast Cancer Study Group trial, Appl Stat, 53, 293
- Molenberghs, 2004, Analyzing incomplete longitudinal clinical trial data, Biostatistics, 5, 445, 10.1093/biostatistics/kxh001 · DOI
- Miller, 2001, Group comparisons involving missing data in clinical trials: a comparison of estimates and power (size) for some simple approaches, Stat Med, 20, 2383, 10.1002/sim.904 · DOI
- Lavori, 1995, A multiple imputation strategy for clinical trials with truncation of patient data, Stat Med, 14, 1913, 10.1002/sim.4780141707 · DOI
- Touloumi, 2002, Impact of missing data due to selective dropouts in cohort studies and clinical trials, Epidemiology, 13, 347, 10.1097/00001648-200205000-00017 · DOI
- White, 1996, Statistical reporting of clinical trials with individual changes from allocated treatment, Stat Med, 15, 249, 10.1002/(SICI)1097-0258(19960215)15:3<249::AID-SIM160>3.0.CO;2-J · DOI
- Efron, 1991, Compliance as an explanatory variable in clinical trials, J Am Stat Assoc, 86, 9, 10.2307/2289707 · DOI
- Hogan, 2004, Mixtures of varying coefficient models for longitudinal data with discrete or continuous nonignorable dropout, Biometrics, 60, 854, 10.1111/j.0006-341X.2004.00240.x · DOI
- Little, 1996, Intent-to-treat analysis for longitudinal studies with drop-outs, Biometrics, 52, 1324, 10.2307/2532847 · DOI
- Frangakis, 2002, Principal stratification in causal inference, Biometrics, 58, 21, 10.1111/j.0006-341X.2002.00021.x · DOI
- Branson, 2003, A score test for binary data with patient non-compliance, Stat Med, 22, 3115, 10.1002/sim.1542 · DOI
- Auleley, 2004, The methods for handling missing data in clinical trials influence sample size requirements, J Clin Epidemiol, 57, 447, 10.1016/j.jclinepi.2003.09.012 · DOI
- Streiner, 2002, The case of the missing data: methods of dealing with dropouts and other research vagaries, Can J Psychiatry, 47, 68, 10.1177/070674370204700111 · DOI
- Kenna, 2004, Estimating treatment effect in the presence of non-compliance measured with error: precision and robustness of data analysis methods, Stat Med, 23, 3561, 10.1002/sim.1830 · DOI
- Woolard, 2004, Research fundamentals: follow-up of subjects in clinical trials: addressing subject attrition, Acad Emerg Med, 11, 859, 10.1111/j.1553-2712.2004.tb00769.x · DOI
Cited by
Sorted by citations
Cochrane Handbook for Systematic Reviews of Interventions: Cochrane Book Series
(2008) · doi:10.1002/9780470712184 · Cited by 25,048
Assessing Risk of Bias in Included Studies
Higgins, J. P., & Altman, D. G. (2008) · Cochrane Handbook for Systematic Reviews of Interventions · doi:10.1002/9780470712184.ch8 · Cited by 3,396
Intention-to-treat concept: A review
Gupta, S. (2011) · Perspectives in Clinical Research · doi:10.4103/2229-3485.83221 · Cited by 1,921
Leucht, S., Leucht, C., Huhn, M., Chaimani, A., Mavridis, D., Helfer, B., Samara, M., Rabaioli, M., Bächer, S., Cipriani, A., et al. (2017) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2017.16121358 · Cited by 542
Macnamara, B. N., & Burgoyne, A. P. (2023) · Psychological Bulletin · doi:10.1037/bul0000352 · Cited by 415
Mediterranean dietary pattern and depression: the PREDIMED randomized trial
Sánchez-Villegas, A., Martínez-González, M. A., Estruch, R., Salas-Salvadó, J., Corella, D., Covas, M. I., Arós, F., Romaguera, D., Gómez-Gracia, E., Lapetra, J., et al. (2013) · BMC Medicine · doi:10.1186/1741-7015-11-208 · Cited by 403
Risk of bias versus quality assessment of randomised controlled trials: cross sectional study
Hartling, L., Ospina, M., Liang, Y., Dryden, D. M., Hooton, N., Krebs Seida, J., & Klassen, T. P. (2009) · BMJ · doi:10.1136/bmj.b4012 · Cited by 348
Meta-analysis of probiotics for the treatment of irritable bowel syndrome
McFarland, L. V., & Dublin, S. (2008) · World Journal of Gastroenterology · doi:10.3748/wjg.14.2650 · Cited by 341
Wang, F., Zheng, J., Yang, B., Jiang, J., Fu, Y., & Li, D. (2015) · Journal of the American Heart Association · doi:10.1161/jaha.115.002408 · Cited by 340
Chiavaroli, L., Lee, D., Ahmed, A., Cheung, A., Khan, T. A., Blanco, S., Mejia, Mirrahimi, A., Jenkins, D. J. A., Livesey, G., et al. (2021) · BMJ · doi:10.1136/bmj.n1651 · Cited by 215
Viguiliouk, E., Kendall, C. W., Kahleová, H., Rahelić, D., Salas-Salvadó, J., Choo, V. L., Mejia, S. B., Stewart, S. E., Leiter, L. A., Jenkins, D. J., et al. (2019) · Clinical Nutrition · doi:10.1016/j.clnu.2018.05.032 · Cited by 201
Chan, A.-W., Hrobjartsson, A., Jorgensen, K. J., Gotzsche, P. C., & Altman, D. G. (2008) · BMJ · doi:10.1136/bmj.a2299 · Cited by 202
Forbes, D., Blake, C. M., Thiessen, E. J., Peacock, S., & Hawranik, P. (2014) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd003946.pub4 · Cited by 194
Moreno, S. G., Sutton, A. J., Turner, E. H., Abrams, K. R., Cooper, N. J., Palmer, T. M., & Ades, A. E. (2009) · BMJ · doi:10.1136/bmj.b2981 · Cited by 184
He, Y., Yang, L., Zhu, X., Wu, B., Zhang, S., Qian, C., & Tian, T. (2022) · Journal of Medical Internet Research · doi:10.2196/40719 · Cited by 178
Wyse, R. J., Wolfenden, L., Campbell, E., Brennan, L., Campbell, K. J., Fletcher, A., Bowman, J., Heard, T. R., & Wiggers, J. (2010) · BMC Public Health · doi:10.1186/1471-2458-10-216 · Cited by 178
Abraha, I., Cherubini, A., Cozzolino, F., De Florio, R., Luchetta, M. L., Rimland, J. M., Folletti, I., Marchesi, M., Germani, A., Orso, M., et al. (2015) · BMJ · doi:10.1136/bmj.h2445 · Cited by 165
Tefikow, S., Barth, J., Maichrowitz, S., Beelmann, A., Strauss, B., & Rosendahl, J. (2013) · Clinical Psychology Review · doi:10.1016/j.cpr.2013.03.005 · Cited by 170
Li, X., Laplante, D. P., Paquin, V., Lafortune, S., Elgbeili, G., & King, S. (2022) · Clinical Psychology Review · doi:10.1016/j.cpr.2022.102129 · Cited by 143
Intention‐to‐treat in randomized controlled trials: Recommendations for a total trial strategy
Polit, D. F., & Gillespie, B. M. (2010) · Research in Nursing & Health · doi:10.1002/nur.20386 · Cited by 129
Alshurafa, M., Briel, M., Akl, E. A., Haines, T., Moayyedi, P., Gentles, S. J., Rios, L., Tran, C., Bhatnagar, N., Lamontagne, F., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0049163 · Cited by 126
Kahleova, H., Salas-Salvadó, J., Rahelić, D., Kendall, C. W., Rembert, E., & Sievenpiper, J. L. (2019) · Nutrients · doi:10.3390/nu11092209 · Cited by 114
Nam, S., & Toneatto, T. (2016) · International Journal of Mental Health and Addiction · doi:10.1007/s11469-016-9667-1 · Cited by 96
Cro, S., Kahan, B. C., Rehal, S., Chis Ster, A., Carpenter, J. R., White, I. R., & Cornelius, V. R. (2022) · BMJ · doi:10.1136/bmj-2022-070146 · Cited by 52
Beckett, R. D., Loeser, K. C., Bowman, K. R., & Towne, T. G. (2016) · BMC Medical Research Methodology · doi:10.1186/s12874-016-0215-2 · Cited by 15
He, Y., Yang, L., Zhu, X., Wu, B., Zhang, S., Qian, C., & Tian, T. (2022) · doi:10.2196/preprints.40719 · Cited by 3
Metadata
- Authors
- Porta, N., Bonet, C., & Cobo, E.
- Affiliations
- Universitat Politècnica de Catalunya (ES)
- Corresponding author
- Cobo, Erik
- Venue
- Journal of Clinical Epidemiology
- Publisher
- Elsevier BV
- Published
- 2007-07
- Volume
- 60
- Issue
- 7
- Pages
- 663-669
- ISSN
- 0895-4356 (ISSN-L)
- OpenAlex
- W1993417604
- Cited by
- 189
- References
- 7
- Citations by year
- 2026: 6 · 2025: 6 · 2024: 9 · 2023: 12 · 2022: 9 · 2021: 10 · 2020: 20 · 2019: 14 · 2018: 8 · 2017: 11 · 2016: 8 · 2015: 7 · 2014: 7 · 2013: 8 · 2012: 11
- FWCI
- 10.92
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Clinical Epidemiology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Instituto de Salud Carlos III
- 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, per-protocol analysis, missing data, protocol deviations, treatment effect estimation, odds ratio, Bland-Altman agreement
- MeSH terms
- Systematic Reviews as Topic, Data Interpretation, Statistical, Humans, Periodicals as Topic, Reproducibility of Results, Epidemiologic Research Design, Bias, Randomized Controlled Trials as Topic, Treatment Outcome, Sample Size
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