119
Views
2
CrossRef citations to date
0
Altmetric
Methodology

Meta-Analyses Proved Inconsistent in How Missing Data Were Handled Across Their Included Primary Trials: A Methodological Survey

ORCID Icon, ORCID Icon, , ORCID Icon, ORCID Icon, ORCID Icon, ORCID Icon, , , , ORCID Icon, , , , & ORCID Icon show all
Pages 527-535 | Published online: 27 May 2020

References

  • Kahale LA, Diab B, Khamis AM, et al. Potentially missing data was considerably more frequent than definitely missing data in randomized controlled trials: a methodological survey. J Clin Epidemiol. 2018;106:18–31.30300676
  • Akl EA, Kahale LA, Ebrahim S, et al. Three challenges described for identifying participants with missing data in trials reports, and potential solutions suggested to systematic reviewers. J Clin Epidemiol. 2016;76:147–154. doi:10.1016/j.jclinepi.2016.02.02226944294
  • Hussain JA, White IR, Langan D, et al. Missing data in randomised controlled trials evaluating palliative interventions: a systematic review and meta-analysis. Lancet. 2016;387:S53. doi:10.1016/s0140-6736(16)00440-2
  • Adewuyi TE, MacLennan G, Cook JA. Non-compliance with randomised allocation and missing outcome data in randomised controlled trials evaluating surgical interventions: a systematic review. BMC Res Notes. 2015;8:403. doi:10.1186/s13104-015-1364-926336099
  • Akl EA, Shawwa K, Kahale LA, et al. Reporting missing participant data in randomised trials: systematic survey of the methodological literature and a proposed guide. BMJ Open. 2015;5(12):e008431. doi:10.1136/bmjopen-2015-008431
  • Bell ML, Fiero M, Horton NJ, et al. Handling missing data in RCTs; a review of the top medical journals. BMC Med Res Methodol. 2014;14(1):118. doi:10.1186/1471-2288-14-11825407057
  • Fielding S, Maclennan G, Cook JA, et al. A review of RCTs in four medical journals to assess the use of imputation to overcome missing data in quality of life outcomes. Trials. 2008;9(1):51. doi:10.1186/1745-6215-9-5118694492
  • Fielding S, Ogbuagu A, Sivasubramaniam S, et al. Reporting and dealing with missing quality of life data in RCTs: has the picture changed in the last decade? Qual Life Res. 2016;25(12):2977–2983. doi:10.1007/s11136-016-1411-627650288
  • Fiero MH, Huang S, Oren E, et al. Statistical analysis and handling of missing data in cluster randomized trials: a systematic review. Trials. 2016;17(1):72. doi:10.1186/s13063-016-1201-z26862034
  • Gewandter JS, McDermott MP, McKeown A, et al. Reporting of missing data and methods used to accommodate them in recent analgesic clinical trials: ACTTION systematic review and recommendations. Pain. 2014;155(9):1871–1877. doi:10.1016/j.pain.2014.06.01824993384
  • Karlson CW, Rapoff MA. Attrition in randomized controlled trials for pediatric chronic conditions. J Pediatr Psychol. 2009;34(7):782–793. doi:10.1093/jpepsy/jsn12219064607
  • Masconi KL, Matsha TE, Echouffo-Tcheugui JB, et al. Reporting and handling of missing data in predictive research for prevalent undiagnosed type 2 diabetes mellitus: a systematic review. EPMA J. 2015;6(1):7. doi:10.1186/s13167-015-0028-025829972
  • Spineli LM. Missing binary data extraction challenges from cochrane reviews in mental health and Campbell reviews with implications for empirical research. Res Synth Methods. 2017;8(4):514–525. doi:10.1002/jrsm.126828961395
  • Wahlbeck K, Tuunainen A, Ahokas A, et al. Dropout rates in randomised antipsychotic drug trials. Psychopharmacology. 2001;155(3):230–233. doi:10.1007/s00213010071111432684
  • Wood AM, White IR, Thompson SG. Are missing outcome data adequately handled? A review of published randomized controlled trials in major medical journals. Clin Trials. 2004;1(4):368–376. doi:10.1191/1740774504cn032oa16279275
  • Ibrahim F, Tom BDM, Scott DL, et al. A systematic review of randomised controlled trials in rheumatoid arthritis: the reporting and handling of missing data in composite outcomes. Trials. 2016;17(1):272. doi:10.1186/s13063-016-1402-527255212
  • Kahale LADB, Brignardello-Petersen R, Agarwal A, et al. Systematic reviews do not adequately report, or address missing outcome data in their analyses: a methodological survey. J Clin Epidemiol. 2018. doi:10.1016/j.jclinepi.2018.02.016
  • Lafuente‐Lafuente C, Valembois L, Bergmann JF, et al. Antiarrhythmics for maintaining sinus rhythm after cardioversion of atrial fibrillation. Cochrane Database Syst Rev. 2011;3.
  • Singh S, Saini RK, DiMarco J, et al. Efficacy and safety of sotalol in digitalized patients with chronic atrial fibrillation. Am J Cardiol. 1991;68(11):1227–1230. doi:10.1016/0002-9149(91)90200-51951086
  • Singh BN, Singh SN, Reda DJ, et al. Amiodarone versus sotalol for atrial fibrillation. N Engl J Med. 2005;352(18):1861–1872. doi:10.1056/NEJMoa04170515872201
  • Akl EA, Kahale LA, Agarwal A, et al. Impact of missing participant data for dichotomous outcomes on pooled effect estimates in systematic reviews: a protocol for a methodological study. Syst Rev. 2014;3:137. doi:10.1186/2046-4053-3-13725423894
  • Kahale LA, Guyatt GH, Agoritsas T, et al. A guidance was developed to identify participants with missing outcome data in randomized controlled trials. J Clin Epidemiol. 2019;115:55–63. doi:10.1016/j.jclinepi.2019.07.00331299357
  • IBM Corp. Released 2013. IBM SPSS Statistics for Windows, Version 22.0. Armonk, NY: IBM Corp.
  • Tang H, Hunter T, Hu Y, et al. Cabergoline for preventing ovarian hyperstimulation syndrome. Cochrane Database Syst Rev. 2012;2.
  • Ebrahim S, Akl EA, Mustafa RA, et al. Addressing continuous data for participants excluded from trial analysis: a guide for systematic reviewers. J Clin Epidemiol. 2013;66(9):1014–21 e1. doi:10.1016/j.jclinepi.2013.03.01423774111
  • Ebrahim S, Johnston BC, Akl EA, et al. Addressing continuous data measured with different instruments for participants excluded from trial analysis: a guide for systematic reviewers. J Clin Epidemiol. 2014;67(5):560–570. doi:10.1016/j.jclinepi.2013.11.01424613497
  • Sullivan TR, Yelland LN, Lee KJ, et al. Treatment of missing data in follow-up studies of randomised controlled trials: a systematic review of the literature. Clin Trials. 2017;14(4):387–395. doi:10.1177/174077451770331928385071
  • Babic A, Tokalic R, Cunha JAS, et al. Assessments of attrition bias in cochrane systematic reviews are highly inconsistent and thus hindering trial comparability. BMC Med Res Methodol. 2019;19(1):76. doi:10.1186/s12874-019-0717-930953448
  • Shivasabesan G, Mitra B, O’Reilly GM. Missing data in trauma registries: a systematic review. Injury. 2018;49(9):1641–1647. doi:10.1016/j.injury.2018.03.03529678306
  • Akl EA, Carrasco-Labra A, Brignardello-Petersen R, et al. Reporting, handling and assessing the risk of bias associated with missing participant data in systematic reviews: a methodological survey. BMJ Open. 2015;5(9):e009368. doi:10.1136/bmjopen-2015-009368
  • Akl EA, Kahale LA, Agoritsas T, et al. Handling trial participants with missing outcome data when conducting a meta-analysis: a systematic survey of proposed approaches. Syst Rev. 2015;4:98. doi:10.1186/s13643-015-0083-626202162
  • Khamis AM, El Moheb M, Nicolas J, et al. Several reasons explained the variation in the results of 22 meta-analyses addressing the same question. J Clin Epidemiol. 2019;113:147–158. doi:10.1016/j.jclinepi.2019.05.02331150832
  • Guyatt GH, Oxman AD, Vist G, et al. GRADE guidelines: 4. Rating the quality of evidence—study limitations (risk of bias). J Clin Epidemiol. 2011;64(4):407–415. doi:10.1016/j.jclinepi.2010.07.01721247734
  • Guyatt GH, Ebrahim S, Alonso-Coello P, et al. GRADE guidelines 17: assessing the risk of bias associated with missing participant outcome data in a body of evidence. J Clin Epidemiol. 2017;87:14–22. doi:10.1016/j.jclinepi.2017.05.00528529188
  • Akl EA, Johnston BC, Alonso-Coello P, et al. Addressing dichotomous data for participants excluded from trial analysis: a guide for systematic reviewers. PLoS One. 2013;8(2):e57132. doi:10.1371/journal.pone.005713223451162
  • White IR, Carpenter J, Horton NJ. Including all individuals is not enough: lessons for intention-to-treat analysis. Clin Trials. 2012;9(4):396–407. doi:10.1177/174077451245009822752633
  • White IR, Higgins JP. Meta-analysis with missing data. Stata J. 2009;9(1):57–69. doi:10.1177/1536867X0900900104
  • White IR, Horton NJ, Carpenter J, et al. Strategy for intention to treat analysis in randomised trials with missing outcome data. BMJ. 2011;342(feb07 1):d40. doi:10.1136/bmj.d4021300711