Comparison of three meta-analytic methods using data from digital interventions on type 2 diabetes

References

• Lutz B Rüdiger M Growth rates of modern science: a bibliometric analysis based on the number of publications and cited references J Assoc Inf Sci Technol 2015 66 11 2215 2222
   Web of Science ®Google Scholar
• Bastian H Glasziou P Chalmers I Seventy-five trials and eleven systematic reviews a day: how will we ever keep up? PLoS Med 2010 7 9 e1000326 20877712
   PubMed Web of Science ®Google Scholar
• Haidich AB Meta-analysis in medical research Hippokratia 2010 14 Suppl 1 29 37 21487488
   PubMed Web of Science ®Google Scholar
• Glass GV Primary, secondary, and meta-analysis of research Educ Res 1976 5 10 3 8
   Google Scholar
• Biondi-Zoccai G Landoni G Modena MG A journey into clinical evidence: from case reports to mixed treatment comparisons HSR Proc Intensive Care Cardiovasc Anesth 2011 3 2 93 96 23441269
   PubMedGoogle Scholar
• Greco T Zangrillo A Biondi-Zoccai G Landoni G Meta-analysis: pitfalls and hints Heart Lung Vessel 2013 5 4 219 225 24364016
   PubMedGoogle Scholar
• PubMed diabetes and (meta-analys* or metaanalys*) Secondary diabetes and (meta-analys* or metaanalys*) 2018 Available from: https://www.ncbi.nlm.nih.gov/pubmed/?term=diabetes+and+(meta-analys*+or+metaanalys*) AccessedDecember 4, 2018
   Google Scholar
• Shinogle JA Methodological Challenges Associated with Meta-Analyses in Health Care and Behavioral Health Research Baltimore, MD University of Maryland 2012
   Google Scholar
• Lorenc T Felix L Petticrew M Meta-analysis, complexity, and heterogeneity: a qualitative interview study of researchers’ methodological values and practices Syst Rev 2016 5 1 192 27852314
   PubMedGoogle Scholar
• Alahdab F Zaiem F Wang Z Murad MH Interpreting meta-analysis of continuous outcomes with pre and postvalues Evid Based Med 2016 21 4 139 140 27405599
   PubMedGoogle Scholar
• Chogtu B Magazine R Bairy KL Statin use and risk of diabetes mellitus World J Diabetes 2015 6 2 352 357 25789118
   PubMed Web of Science ®Google Scholar
• Fu R Holmer HK Change score or follow-up score? Choice of mean difference estimates could impact meta-analysis conclusions J Clin Epidemiol 2016 76 108 117 26931293
   PubMed Web of Science ®Google Scholar
• Fu R Vandermeer BW Shamliyan TA Handling continuous outcomes in quantitative synthesis Methods Guide for Effectiveness and Comparative Effectiveness Reviews Rockville, MD Agency for Healthcare Research and Quality 2008
   Google Scholar
• William F Rosenberger JML Randomization in Clinical Trials: Theory and Practice New York Wiley 2005
   Google Scholar
• Mckenzie JE Herbison GP Deeks JJ Impact of analysing continuous outcomes using final values, change scores and analysis of covariance on the performance of meta-analytic methods: a simulation study Res Synth Methods 2016 7 4 371 386 26715122
   PubMed Web of Science ®Google Scholar
• Morris SB Deshon RP Combining effect size estimates in meta-analysis with repeated measures and independent-groups designs Psychol Methods 2002 7 1 105 125 11928886
   PubMed Web of Science ®Google Scholar
• Riley RD Kauser I Bland M Meta-analysis of randomised trials with a continuous outcome according to baseline imbalance and availability of individual participant data Stat Med 2013 32 16 2747 2766 23303608
   PubMed Web of Science ®Google Scholar
• Kebede MM Zeeb H Peters M Heise TL Pischke CR Effectiveness of digital interventions for improving glycemic control in persons with poorly controlled Type 2 diabetes: a systematic review, meta-analysis, and meta-regression analysis Diabetes Technol Ther 2018 20 11 767 782 30257102
   PubMed Web of Science ®Google Scholar
• Kebede M Christianson L Khan Z Heise TL Pischke CR Effectiveness of behavioral change techniques employed in eHealth interventions designed to improve glycemic control in persons with poorly controlled type 2 diabetes: a systematic review and meta-analysis protocol Syst Rev 2017 6 1 211 29065911
   PubMed Web of Science ®Google Scholar
• Eysenbach G What is e-health? J Med Internet Res 2001 3 2 e20 11720962
   PubMed Web of Science ®Google Scholar
• Higgins JP Altman DG Gøtzsche PC The Cochrane Collaboration’s tool for assessing risk of bias in randomised trials BMJ 2011 343 d5928 22008217
   PubMed Web of Science ®Google Scholar
• Covidence systematic review software, Veritas Health Innovation, Melbourne, Australia.
   Google Scholar
• Higgins JPT Green S Cochrane Handbook for Systematic Reviews of Interventions 2011 Available from: http://handbook-5-1.cochrane.org/ Accessed October 25, 2018
   Google Scholar
• Wakefield BJ Koopman RJ Keplinger LE Effect of home telemonitoring on glycemic and blood pressure control in primary care clinic patients with diabetes Telemed J E Health 2014 20 3 199 205 24404819
   PubMed Web of Science ®Google Scholar
• Arora S Peters AL Burner E Lam CN Menchine M Trial to examine text message-based mHealth in emergency department patients with diabetes (TExT-MED): a randomized controlled trial Ann Emerg Med 2014 63 6 745 754 24225332
   PubMed Web of Science ®Google Scholar
• Hozo SP Djulbegovic B Hozo I Estimating the mean and variance from the median, range, and the size of a sample BMC Med Res Methodol 2005 5 13 15840177
   PubMedGoogle Scholar
• Vickers AJ Altman DG Statistics notes: analysing controlled trials with baseline and follow up measurements BMJ 2001 323 7321 1123 1124 11701584
   PubMed Web of Science ®Google Scholar
• Cho JH Kwon HS Kim HS Oh JA Yoon KH Effects on diabetes management of a health-care provider mediated, remote coaching system via a PDA-type glucometer and the Internet J Telemed Telecare 2011 17 7 365 370 21933896
   PubMed Web of Science ®Google Scholar
• Egede LE Williams JS Voronca DC Knapp RG Fernandes JK Randomized controlled trial of technology-assisted case management in low income adults with type 2 diabetes Diabetes Technol Ther 2017 19 8 476 482 28581821
   PubMed Web of Science ®Google Scholar
• Ralston JD Hirsch IB Hoath J Mullen M Cheadle A Goldberg HI Web-based collaborative care for type 2 diabetes: a pilot randomized trial Diabetes Care 2009 32 2 234 239 19017773
   PubMed Web of Science ®Google Scholar
• Torbjørnsen A Jenum AK Småstuen MC A low-intensity mobile health intervention with and without health counseling for persons with Type 2 diabetes, part 1: baseline and short-term results from a randomized controlled trial in the Norwegian Part of RENEWING HEALTH JMIR Mhealth Uhealth 2014 2 4 e52 25499592
   PubMed Web of Science ®Google Scholar
• Higgins JP Thompson SG Deeks JJ Altman DG Measuring inconsistency in meta-analyses BMJ 2003 327 7414 557 560 12958120
   PubMed Web of Science ®Google Scholar
• Egger M Davey Smith G Schneider M Minder C Bias in meta-analysis detected by a simple, graphical test BMJ 1997 315 7109 629 634 9310563
   PubMed Web of Science ®Google Scholar
• Duval S Tweedie R. A nonparametric “Trim and Fill” method of accounting for publication bias in meta-analysis J Am Stat Assoc 2000 95 449 89 98
   Web of Science ®Google Scholar
• Agboola S Jethwani K Lopez L Searl M O’Keefe S Kvedar J Text to move: a randomized controlled trial of a text-messaging program to improve physical activity behaviors in patients with Type 2 diabetes mellitus J Med Internet Res 2016 18 11 e307 27864165
   PubMed Web of Science ®Google Scholar
• Capozza K Woolsey S Georgsson M Going mobile with diabetes support: a randomized study of a text message-based personalized behavioral intervention for type 2 diabetes self-care Diabetes Spectr 2015 28 2 83 91 25987806
   PubMedGoogle Scholar
• Cho JH Kim HS Yoo SH An Internet-based health gateway device for interactive communication and automatic data uploading: clinical efficacy for type 2 diabetes in a multi-centre trial J Telemed Telecare 2017 23 6 595 604 27381040
   PubMed Web of Science ®Google Scholar
• Dario C Toffanin R Calcaterra F Telemonitoring of Type 2 diabetes mellitus in Italy Telemed J E Health 2017 23 2 143 152 27379995
   PubMed Web of Science ®Google Scholar
• Fortmann AL Gallo LC Garcia MI Dulce digital: an mHealth SMS-based intervention improves glycemic control in Hispanics with Type 2 diabetes Diabetes Care 2017 40 10 1349 1355 28600309
   PubMed Web of Science ®Google Scholar
• Hansen CR Perrild H Koefoed BG Zander M Video consultations as add-on to standard care among patients with type 2 diabetes not responding to standard regimens: a randomized controlled trial Eur J Endocrinol 2017 176 6 727 736 28325823
   PubMed Web of Science ®Google Scholar
• Holmen H Torbjørnsen A Wahl AK A Mobile health intervention for self-management and lifestyle change for persons with Type 2 diabetes, part 2: One-year results from the Norwegian randomized controlled trial RENEWING HEALTH JMIR Mhealth Uhealth 2014 2 4 e57 25499872
   PubMed Web of Science ®Google Scholar
• Khanna R Stoddard PJ Gonzales EN An automated telephone nutrition support system for Spanish-speaking patients with diabetes J Diabetes Sci Technol 2014 8 6 1115 1120 25239122
   PubMedGoogle Scholar
• Kim HS Sun C Yang SJ Randomized, open-label, parallel group study to evaluate the effect of internet-based glucose management system on subjects with diabetes in China Telemed J E Health 2016 22 8 666 674 26938489
   PubMed Web of Science ®Google Scholar
• Kleinman NJ Shah A Shah S Phatak S Viswanathan V Improved medication adherence and frequency of blood glucose self-testing using an m-Health platform versus usual care in a multisite randomized clinical trial among people with Type 2 diabetes in India Telemed J E Health 2017 23 9 733 740 28328396
   PubMed Web of Science ®Google Scholar
• Liou JK Soon MS Chen CH Shared care combined with telecare improves glycemic control of diabetic patients in a rural underserved community Telemed J E Health 2014 20 2 175 178 24320193
   PubMed Web of Science ®Google Scholar
• Tang PC Overhage JM Chan AS Online disease management of diabetes: engaging and motivating patients online with enhanced resources-diabetes (EMPOWER-D), a randomized controlled trial J Am Med Inform Assoc 2013 20 3 526 534 23171659
   PubMed Web of Science ®Google Scholar
• Tildesley HD Mazanderani AB Chan JHM Ross SA Efficacy of A1C reduction using internet intervention in patients with Type 2 diabetes treated with insulin Can J Diabetes 2011 35 3 250 253
   Web of Science ®Google Scholar
• Wang G Zhang Z Feng Y Telemedicine in the management of Type 2 diabetes mellitus Am J Med Sci 2017 353 1 1 5 28104096
   PubMed Web of Science ®Google Scholar
• Welch G Zagarins SE Santiago-Kelly P An internet-based diabetes management platform improves team care and outcomes in an urban Latino population Diabetes Care 2015 38 4 561 567 25633661
   PubMed Web of Science ®Google Scholar
• Wild SH Hanley J Lewis SC Supported telemonitoring and glycemic control in people with Type 2 diabetes: the telescot diabetes pragmatic multicenter randomized controlled trial PLOS Med 2016 13 7 e1002163 27760145
   PubMed Web of Science ®Google Scholar
• Alharbi NS Alsubki N Jones S Impact of information technology-based interventions for Type 2 diabetes mellitus on glycemic control: a systematic review and meta-analysis J Med Internet Res 2016 18 11 e310 27888169
   PubMedGoogle Scholar
• Zhai YK Zhu WJ Cai YL Sun DX Zhao J Clinical- and cost-effectiveness of telemedicine in type 2 diabetes mellitus: a systematic review and meta-analysis Medicine 2014 93 28 e312 25526482
   PubMed Web of Science ®Google Scholar
• Verhoeven F van Gemert-Pijnen L Dijkstra K Nijland N Seydel E Steehouder M The contribution of teleconsultation and videoconferencing to diabetes care: a systematic literature review J Med Internet Res 2007 9 5 e37 18093904
   PubMed Web of Science ®Google Scholar
• Tricco AC Ivers NM Grimshaw JM Effectiveness of quality improvement strategies on the management of diabetes: a systematic review and meta-analysis Lancet 2012 379 9833 2252 2261 22683130
   PubMed Web of Science ®Google Scholar
• Su D Zhou J Kelley MS Does telemedicine improve treatment outcomes for diabetes? A meta-analysis of results from 55 randomized controlled trials Diabetes Res Clin Pract 2016 116 136 148 27321329
   PubMed Web of Science ®Google Scholar
• Stratton IM Adler AI Neil HA Association of glycaemia with macrovascular and microvascular complications of type 2 diabetes (UKPDS 35): prospective observational study BMJ 2000 321 7258 405 412 10938048
   PubMed Web of Science ®Google Scholar
• Farmer AJ Mcsharry J Rowbotham S Mcgowan L Ricci-Cabello I French DP Effects of interventions promoting monitoring of medication use and brief messaging on medication adherence for people with Type 2 diabetes: a systematic review of randomized trials Diabet Med 2016 33 5 565 579 26470750
   PubMed Web of Science ®Google Scholar
• Cheng L Sit JW Choi KC Effectiveness of interactive self-management interventions in individuals with poorly controlled Type 2 diabetes: a meta-analysis of randomized controlled trials Worldviews Evid Based Nurs 2017 14 1 65 73 27984672
   PubMed Web of Science ®Google Scholar
• Avery L Flynn D van Wersch A Sniehotta FF Trenell MI Changing physical activity behavior in type 2 diabetes: a systematic review and meta-analysis of behavioral interventions Diabetes Care 2012 35 12 2681 2689 23173137
   PubMed Web of Science ®Google Scholar
• Baron J Mcbain H Newman S The impact of mobile monitoring technologies on glycosylated hemoglobin in diabetes: a systematic review J Diabetes Sci Technol 2012 6 5 1185 1196 23063046
   PubMedGoogle Scholar
• Kirwan M Vandelanotte C Fenning A Duncan MJ Diabetes self-management smartphone application for adults with type 1 diabetes: randomized controlled trial J Med Internet Res 2013 15 11 e235 24225149
   PubMed Web of Science ®Google Scholar
• El-Gayar O Timsina P Nawar N Eid W Mobile applications for diabetes self-management: status and potential J Diabetes Sci Technol 2013 7 1 247 262 23439183
   PubMedGoogle Scholar
• Williams JP Schroeder D Popular glucose tracking apps and use of mHealth by Latinos with diabetes: review JMIR Mhealth Uhealth 2015 3 3 e84 26307533
   PubMed Web of Science ®Google Scholar
• Ryan EA Holland J Stroulia E Improved A1C levels in Type 1 diabetes with Smartphone app use Can J Diabetes 2017 41 1 33 40 27570203
   PubMed Web of Science ®Google Scholar
• Kebede MM Liedtke TP Möllers T Pischke CR Characterizing active ingredients of eHealth interventions targeting persons with poorly controlled Type 2 diabetes mellitus using the behavior change techniques taxonomy: scoping review J Med Internet Res 2017 19 10 e348 29025693
   PubMed Web of Science ®Google Scholar
• Aiello F Attanasio M Tinè F Assessing covariate imbalance in meta-analysis studies Stat Med 2011 30 22 2671 2682 21786283
   PubMed Web of Science ®Google Scholar
• Trowman R Dumville JC Torgerson DJ Cranny G The impact of trial baseline imbalances should be considered in systematic reviews: a methodological case study J Clin Epidemiol 2007 60 12 1229 1233 17998076
   PubMed Web of Science ®Google Scholar
• Mckenzie J Meta-analysis of continuous data: final values, change scores, and ANCOVA Cochrane Statistical Methods Training Course: Addressing advanced issues in meta-analytical techniques 3 4–5 2010 Cardiff, UK
   Google Scholar
• Torbjornsen A Jenum AK Smastuen MC A Low-Intensity Mobile Health Intervention With and Without Health Counseling for Persons With Type 2 Diabetes, Part 1: Baseline and Short-Term Results From a Randomized Controlled Trial in the Norwegian Part of RENEWING HEALTH JMIR mhealth uhealth 2014 2 4 e52 10.2196/mhealth.3535 25499592
   PubMed Web of Science ®Google Scholar