Abstract
Objective
This study aimed to systematically review cost-effectiveness studies of newer antidiabetic medications.
Methods
The PubMed/MEDLINE, EMBASE, CINAHL Plus, Cochrane Library–NHS Economic Evaluation Database (Wiley), Cochrane Library–Health Technology Assessment Database (Wiley), Cochrane Library–Database of Abstracts of Reviews of Effects (Wiley), and the Cost-Effectiveness Analysis Registry databases (from 1 January 2000 to 1 June 2018) were searched. The search strategies included the Medical Subject Heading (MeSH) term ‘economics’, and the MeSH entry terms ‘cost’, ‘cost effectiveness’, ‘value’, and ‘cost utility’, as well as all names for GLP-1 receptor agonists, DPP-4 inhibitors, and SGLT2 inhibitors. Inclusion criteria included (1) cost-effectiveness studies of the newer antidiabetic medications, including sodium-glucose cotransporter-2 (SGLT2) inhibitors, glucagon-like peptide-1 (GLP-1) receptor agonists, and dipeptidyl peptidase-4 (DPP-4) inhibitors; and (2) full-text publications in English. Two reviewers independently screened the titles, abstracts, and full-text articles to select studies for data extraction. Discrepancies were resolved by discussion and consensus. The quality of reporting cost-effectiveness analyses was assessed using the Consolidated Health Economic Evaluation Reporting Standards (CHEERS) guideline.
Results
Among 85 studies selected, 82 clearly stated the types of diabetes model used (e.g. CORE model), and 70 studied used validated diabetes models. Seventy-four (87%) studies were funded by pharmaceutical companies, and 72 (85%) studies were conducted from a payer’s perspective. Seventy-six (89%) studies presented were of good quality (20–24 CHEERS items), and nine were of moderate quality (14–19 items). Thirty studies compared newer antidiabetic medications with insulin, 3 studies compared newer antidiabetic medications with thiazolidinediones (TZDs), 15 studies compared newer antidiabetic medications with sulfonylureas, 40 studies compared new antidiabetic medications with alternative newer antidiabetic medication, and 9 studies compared other antidiabetic agents that were not included above. Newer antidiabetic medications were reported to be cost-effective in 26 of 30 (87%) studies compared with insulin, and 13 of 15 (87%) studies compared with sulfonylureas.
Conclusions
Most economic evaluations of antidiabetic medications have good reporting quality and use validated diabetes models. The newer antidiabetic medications in most of the reviewed studies were found to be cost effective, compared with insulin, TZDs, and sulfonylureas.
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Change history
04 September 2019
CORE diabetes model was used throughout the article for consistency.
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Acknowledgements
Lizheng Shi and Dongzhe Hong formulated the study question. Dongzhe Hong also drafted the data abstraction form and the project proposal, and developed the search strategies for study selection; all other authors reviewed and revised the search strategies and the study materials. Dongzhe Hong and Minghuan Jiang screened the titles and abstracts, and extracted articles for full-text review. Hui Shao, Yingnan Zhao, Yan Li, and Lizheng Shi performed the critical appraisal of the studies. Dongzhe Hong, Lei Si, Minghuan Jiang, and Wai-kit Ming abstracted data from the selected articles, and Dongzhe Hong conducted the data synthesis. Dongzhe Hong also drafted the Methods and Introduction sections of the manuscript, and Lei Si drafted the Introduction, Discussion, and Conclusions sections. All authors reviewed and revised the manuscript.
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This research received no specific grants from any funding agency in the public, commercial, or not-for-profit sectors.
Conflicts of Interest
Lei Si is a recipient of the National Health and Medical Research Council Early Career Fellowship (GNT1139826). Yan Li was partly supported by the National Heart, Lung, and Blood Institute of the National Institutes of Health under Award Number R01HL141427. Dongzhe Hong, Minghuan Jiang, Hui Shao, Wai-kit Ming, Yingnan Zhao, and Lizheng Shi have no conflicts of interest to declare.
Additional information
Dongzhe Hong and Lei Si contribution as the first co-authors.
Minghuan Jiang and Hui Shao as the second co-authors.
Appendices
Appendix 1: Details of the search strategies for the identification of studies
(1) (GLP-1) AND (cost effectiveness OR cost utility OR economics OR value OR cost).
(2) (exenatide OR Byetta OR Bydureon OR liraglutide OR Victoza OR Saxenda OR lixisenatide OR Lyxumia OR albiglutide OR Tanzeum OR dulaglutide OR trulicity OR emaglutide OR Ozempic) AND (cost effectiveness OR cost utility OR economics OR value OR cost).
(3) (DPP-4) AND (cost effectiveness OR cost utility OR economics OR value OR cost).
(4) (Sitagliptin OR Januvia OR Vildagliptin OR Galvus OR Saxagliptin OR Onglyza OR Linagliptin OR Tradjenta OR Gemigliptin OR Zemiglo OR Anagliptin OR Suiny OR Teneligliptin OR Tenelia OR Alogliptin OR Nesina OR Vipidia OR Trelagliptin OR Zafatek OR Omarigliptin OR MK-3102 OR Evogliptin OR Suganon OR Gosogliptin OR SatRx) AND (cost effectiveness OR cost utility OR economics OR value OR cost).
(5) (SGLT2) AND (cost effectiveness OR cost utility OR economics OR value OR cost).
(6) (Dapagliflozin OR Farxiga OR Empagliflozin OR Jardiance OR Canagliflozin OR Invokana OR Ipragliflozin OR ASP-1941 OR Suglat OR Tofogliflozin OR Apleway OR Deberza OR Ertugliflozin OR Steglatro) AND (cost effectiveness OR cost utility OR economics OR value OR cost).
Appendix 2: Summary of sensitivity analyses in the included studies
References | Comparison | Probabilistic sensitivity analysis (Y/N) | Cost-effectiveness acceptability curve (Y/N) | Sensitive factors 1 | Sensitive factors 2 | Sensitive factors 3 | Sensitive factors 4 | Sensitive factors 5 |
---|---|---|---|---|---|---|---|---|
Ray et al., 2007 [20] | Exenatide vs. insulin | N | Y | Exenatide price | HbA1c change | Insulin dose | Time horizon | |
Shaya et al., 2007 [21] | Exenatide vs. placebo; exenatide vs. no additional treatment | N | N | HbA1c change | Discount rate | |||
Minshall et al., 2008 [22] | Exenatide vs. no additional treatment beyond metformin and/or a sulfonylurea | Y | Y | Time horizon | HbA1c change | BMI change | Lipid change | |
Schwarz et al., 2008 [88] | Sitagliptin vs. rosiglitazone; sitagliptin vs. sulfonylurea | N | N | Lipid change | SBP change | Congestive heart failure risk | Sitagliptin efficacy | SBP change |
Woehl et al., 2008 [75] | Exenatide vs. insulin glargine in three scenarios | N | N | Hypoglycemic events | Coefficient of durability of sitagliptin | |||
Brandle et al., 2009 [23] | Exenatide vs. insulin glargine | Y | Y | Time horizon | Discount rate | Cost of exenatide | Complication costs | |
Mittendorf et al., 2009 [24] | Exenatide vs. insulin glargine | Y | Y | Baseline BMI | Baseline HbA1c | Time horizon | HbA1c effect sustainability | |
Sullivan et al., 2009 [25] | Liraglutide vs. rosiglitazone | N | N | HbA1c change | ||||
Lee et al., 2010 [26] | Liraglutide vs. exenatide | N | N | Discount rate | Time horizon | HbA1c reduction | Disutility for BMI | |
Sinha et al., 2010 [89] | Exenatide vs. sitagliptin; Sitagliptin vs. glyburide | N | N | Disutility for injectable medication | Disutility for injectable medication, and cost of medication | Utility for weight change | Third-line therapy change | |
Beaudet et al., 2011 [27] | Exenatide vs. insulin glargine | Y | Y | Time horizon | Cost of complications | Discount rate | Exenatide price | |
Goodall et al., 2011 [28] | Exenatide vs. insulin glargine | Y | Y | Time horizon | HbA1c effect sustainability | Discount rate | HbA1c reduction | |
Klarenbach et al., 2011 [76] | DPP-4 vs. no additional treatment | N | Y | Clinical effects of HbA1c, weight, hypoglycemia | Treatment intensification | Price of DPP-4 inhibitors | Cost of complications | |
Lee et al., 2011 [29] | liraglutide vs. rosiglitazone | N | N | Discount rate | Time horizon | HbA1c reduction | (Dis)utility for BMI change | |
Valentine et al., 2011 [30] | Liraglutide vs. exenatide | N | Y | Time horizon | Discount rate | HbA1c and minor hypoglycemia benefits only | HbA1c reduction | |
Bergenheim et al., 2012 [56] | Saxagliptin vs. sulfonylurea | Y | N | Cost and disutility for weight gain and hypoglycemic event | Cost and disutility for hypoglycemic event | HbA1c effect sustainability, cost and disutility for hypoglycemic event | HbA1c effect sustainability, cost and disutility for weight gain and hypoglycemic event | |
Davies et al., 2012 [31] | Liraglutide vs. glimepiride; liraglutide vs. sitagliptin | N | Y | Treatment duration | Discount rate | Weight gain | BMI disutility | |
Erhardt et al., 2012 [57] | Saxagliptin vs. sulfonylurea | Y | Y | Model entry on second-line treatment | Weight change | BMI disutility | Discount rate | |
Gaebler et al., 2012 [87] | Exenatide vs. insulin | N | N | Time horizon | ||||
Gao et al., 2012 [77] | Liraglutide vs. glimepiride | N | N | Time horizon | Discount rate | Complication costs | Initial utility score: use UKPDS utilities | |
Granstrōm et al., 2012 [58] | Saxagliptin vs. sulfonylurea; | Y | Y | Hypoglycemia rates | Cost of hypoglycemia | BMI disutility | Sustainability of weight change | |
Grzeszczak et al., 2012 [59] | Saxagliptin vs. insulin | Y | Y | Model entry on second-line treatment | Baseline HbA1c | Weight change | Discount rate | |
Lee et al., 2012 [32] | Liraglutide vs. sitagliptin | Y | Y | Time horizon | ||||
Samyshkin et al., 2012 [33] | Exenatide vs. insulin glargine | Y | N | Time horizon | HbA1c reduction | BMI change | Convenience of less frequent administration of exenatide | |
Elgart et al., 2013 [60] | Saxagliptin vs. sulfonylureas | Y | Y | HbA1c values | age | Cost values | Utility values | |
Fonseca et al., 2013 [34] | Exenatide once weekly vs. exenatide twice daily; exenatide once weekly vs. insulin glargine | Y | Y | Time horizon | 95% upper CI for HbA1c | (Dis)utility for BMI/nausea | ||
Langer et al., 2013 [93] | Liraglutide vs. sitagliptin | Y | N | Discount rate | ||||
Raya et al., 2013 [35] | Liraglutide vs. sitagliptin | N | Y | Time horizon | Discount rates | Over- or underestimating the unit costs of diabetes complications | ||
Teramachi et al., 2013 [102] | Sitagliptin 100 mg vs. sitagliptin 50 mg; vildagliptin vs. sitagliptin; alogliptin vs. sitagliptin | N | N | The standard deviation of HbA1c | Price of each drug | |||
Brown et al., 2014 [36] | Sitagliptin vs. insulin glargine | Y | Y | Changes to the number of testing strips | ||||
DeKoven et al., 2014 [103] | Liraglutide vs. exenatide | N | N | |||||
Ektare et al., 2014 [94] | Canagliflozin vs. sitagliptin | Y | N | Drug costs | Treatment discontinuations | BMI | LDL-c | Discount rates |
Kiadaliri et al., 2014 [80] | GLP-1 vs. DPP-4; GLP-1 vs. NPH insulin; DPP-4 vs. NPH insulin | Y | N | Drug costs | Treatment discontinuations | BMI | LDL-c | HbA1c reduction |
Steen Carlsson et al., 2014 [81] | Liraglutide vs. sulfonylurea; liraglutide vs. sitagliptin | Y | Y | Frequency of hypoglycemia | Baseline BMI | HbA1c at which the second-line treatment was initiated | Cost of glucose monitoring strips | |
Van Haalen et al., 2014 [61] | Dapagliflozin vs. placebo | Y | Y | Uncertainty around the QALY point estimate | Price of test strips | |||
Viriato et al., 2014 [78] | Vildagliptin vs. sulfonylurea | Y | Y | Coefficient of treatment failure | Drug costs | HbA1c | Discount rates | Risk of congestive heart failure |
Charokopou et al., 2015 [62] | Dapagliflozin vs. DPP-4 | Y | Y | HbA1c change from baseline | Weight change from baseline | BMI utility values | Total non-drug costs | Risk of congestive heart failure |
Charokopou et al., 2015 [63] | Dapagliflozin vs. sulfonylurea | Y | Y | Change in HbA1c from baseline | Change in weight from baseline | Disutility for minor hypoglycemia | ||
Deng et al., 2015 [64] | Exenatide vs. insulin glargine | Y | Y | HbA1c level at baseline | Health utilities decrement | BMI at baseline | Disutility for minor hypoglycemia | |
Gu et al., 2015 [65] | Saxagliptin vs. glimepiride | Y | Y | Utility | HbA1c | BMI | Age | Disutility for minor hypoglycemia |
Huetson et al., 2015 [37] | Lixisenatide vs. basal-bolus insulin | Y | N | Discount rates | Reductions in HbA1c | Application of code-2 disutility for excess BMI | Disutility for minor hypoglycemia | |
Neslusan et al., 2015 [84] | Canagliflozin vs. sitagliptin | N | Y | QALY gains for canagliflozin | Time horizon | Disutility for overweight/obesity | Disutility for minor hypoglycemia | |
Pérez et al., 2015 [38] | Liraglutide vs. sitagliptin | N | N | Time horizon | Disutility for minor hypoglycemia | |||
Sabale et al., 2015 [101] | Dapagliflozin vs. sulfonylurea | Y | Y | Assumptions on body weight progression over time | Utility weights associated with this change | |||
Wang et al., 2015 [90] | Liraglutide vs. exenatide | Y | Y | the cost of liraglutide and exenatide | the liraglutide and exenatide AE rates | the cost of treating gastrointestinal AEs | the effectiveness of liraglutide and exenatide in patients who completed the full treatment duration | |
Bruhn et al., 2016 [54] | Albiglutide vs. insulin lispro; albiglutide vs. sitagliptin | Y | Y | Time horizon | Discount rate | Complication costs | Us ethnic breakdown | hypoglycemia disutility |
Chuang et al., 2016 [66] | Exenatide vs. dulaglutide; exenatide vs. liraglutide; exenatide vs. lixisenatide | Y | Y | HbA1c reduction | Weight loss | Treatment discontinuation due to AE | Nausea as an AE | |
Davies et al., 2016 [55] | IDegLira vs. basal insulin + liraglutide; IDegLira vs. insulin glargine + IAsp; IDegLira vs. uptitrated insulin glargine | Y | Y | Alternative time horizon | Alternative discount rate | Alternative treatment switching | Alternative BMI progression | Hypoglycemia disutility |
Gordon et al., 2016 [40] | Metformin + alogliptin vs. metformin + sulfonylurea | Y | Y | Time horizon | Costs | Utility | Discount rate | Age at model entry |
Gordon et al., 2016 [67] | Exenatide vs. lispro | Y | Y | Time horizon | Discount rate | Complication utility | Complication costs | |
Gu et al., 2016 [68] | Dapagliflozin vs. acarbose | Y | Y | Utility | Age | HbA1c | Ethnicity | |
Gu et al., 2016 [69] | Saxagliptin vs. acarbose | Y | Y | Utility | Age | HbA1c | Ethnicity | |
Permsuwan et al., 2016 [17] | Saxagliptin vs. metformin; sitagliptin vs. metformin; vildagliptin vs. metformin; saxagliptin vs. sulfonylurea; sitagliptin vs. sulfonylurea; vildagliptin vssulfonylurea | Y | Y | HbA1c change of DPP-4 inhibitors | Discount rate | Risk of severe hypoglycemia of DPP-4 inhibitors | Cost of sexagliptin | HbA1c reduction |
Roussel et al., 2016 [41] | Liraglutide vs. sitagliptin; liraglutide vs. glimepiride | Y | Y | Time horizon | Discount rate | Alternative costs of complications | HbA1c difference | Rule of treatment intensification |
Sabapathy et al., 2016 [85] | Canagliflozin vs. sitagliptin | Y | Y | Discount rate | Time horizon | eGFR drift | Alternative treatment thresholds | Insulin dose |
Tzanetakos et al., 2016 [70] | Dapagliflozin vs. sulfonylurea; dapagliflozin vs. DPP-4 | Y | Y | the assumptions around the HbA1c switching threshold | the utility weights applied to BMI progression | utilities t2 dm complications | Discount rate | Insulin dose |
Zhang et al., 2016 [71] | Liraglutide vs. exenatide | Y | Y | Discount rates | Simulated treatment period | |||
Cazarim et al., 2017 [91] | Linagliptin vs. none; linagliptin + metformin vs. none; sitagliptin vs. none; sitagliptin + metformin vs. none; vildagliptin vs. none; vildagliptin + metformin vs. none; saxagliptin vs. none | N | N | NA | ||||
Dilla et al., 2017 [39] | dulaglutide vs. liraglutide | Y | Y | Treatment effects | Treatment duration | Economics | Disutility exclusions | Discount rate |
Ericsson et al., 2017 [82] | IDegLira vs. insulin glargine; IDegLira vs. NPH insulin; IDegLira vs. insulin aspart + insulin glargine; IDegLira vs. insulin aspart + NPH insulin; IDegLira vs. liraglutide + insulin glargine; IDegLira vs. liraglutide + NPH insulin | Y | Y | Absolute treatment effect on the HbA1c level | Annual absolute drift of the HbA1c level, HbA1c | Initial absolute treatment effects on other biomarker levels | Absolute drift of the other biomarker levels | |
Gu et al., 2017 [72] | Exenatide vs. insulin glargine | Y | N | HbA1c threshold value for therapy | BMI-associated disutility | BMI-related prescription costs | Incidence, costs and disutility of the AEs | |
Hunt et al., 2017 [42] | Exenatide vs. insulin glargine | Y | Y | Time horizon | Upper and lower limits of HbA1c change | HbA1c progression | BMI progression | |
Hunt et al., 2017 [43] | Liraglutide vs. lixisenatide | Y | Y | Time horizon | Discount rates | HbA1c difference | Blood pressure difference | Lipid difference |
Hunt et al., 2017 [95] | Liraglutide vs. lixisenatide | N | N | NA | ||||
Hunt et al., 2017 [44] | IDegLira vs. liraglutide | Y | N | No influential parameters identified could influence base-case results | ||||
Hunt et al., 2017 [45] | IDegLira vs. insulin glargine | Y | N | Time horizon | HbA1c difference abolished | Cost of neutral protamine Hagedorn | ||
Hunt et al., 2017 [96] | IDegLira vs. insulin glargine | N | N | NA | ||||
Hunt et al., 2017 [46] | Liraglutide vs. lixisenatide | Y | N | Time horizon | HbA1c difference abolished | |||
Hunt et al., 2017 [47] | Liraglutide vs. exenatide; liraglutide vs. lixisenatide | N | N | No influential parameters identified could influence the base-case results | ||||
Kousoulakou et al., 2017 [79] | Vildagliptin vs. glimepiride | N | N | No influential parameters identified could influence the base-case results | ||||
Kvapil et al., 2017 [48] | IDegLira vs. basal insulin | N | N | No influential parameters identified could influence the base-case results | ||||
Lasalvia et al., 2017 [97] | Dulaglutide vs. liraglutide; dulaglutide vs. glargine | Y | N | Non-daily injection utility | Monthly dulaglutide cost | Percentage of patients achieving < 7% HbA1c with glargine | Glucometries per month | Blood pressure |
Mezquita-Raya et al., 2017 [49] | Liraglutide vs. lixisenatide | Y | Y | HbA1c difference abolished | Blood pressure | |||
Psota et al., 2017 [50] | IDegLira vs. basal bolus | Y | Y | No influential parameters identified could influence the base-case results | Blood pressure | |||
Shao et al., 2017 [73] | Dapagliflozin vs. glimepiride | Y | Y | No influential parameters identified could influence the base-case results | ||||
Vega-Hernandez et al., 2017 [51] | Liraglutide (dual therapy) vs. dapagliflozin (dual therapy); liraglutide (triple therapy) vs. dapagliflozin (triple therapy) | Y | Y | Treatment switch year | Time horizon | |||
Basson et al., 2018 [52] | Dulaglutide vs. exenatide | Y | Y | No influential parameters identified could influence the base-case results | ||||
Chakravarty et al., 2018 [98] | Dapagliflozin vs. DPP-4; dapagliflozin vs. GLP-1 | Y | Y | No influential parameters identified could influence the base-case results | ||||
Drummond et al., 2018 [92] | IDegLira vs. basal-bolus | N | N | NA | ||||
Ericsson et al., 2018 [83] | Liraglutide vs. lixisenatide | Y | Y | Between-treatment difference in HbA1c abolished | ||||
Gourzoulidis et al., 2018 [99] | Empagliflozin vs. standard of care (background glucose-lowering therapy) | Y | Y | Time horizon | ||||
Ishii et al., 2018 [53] | Dulaglutide vs. insulin glargine | Y | Y | No influential parameters identified could influence the base-case results | ||||
Neslusan et al., 2018 [86] | Canagliflozin vs. dapagliflozin | Y | Y | No influential parameters identified could influence the base-case results | ||||
Nguyen et al., 2018 [100] | Empagliflozin vs. standard treatment | Y | N | Cost of empagliflozin | Death rate of standard treatment | |||
Tzanetakos et al., 2018 [74] | Exenatide vs. insulin glargine; exenatide vs. liraglutide | Y | Y | No influential parameters identified could influence the base-case results |
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Hong, D., Si, L., Jiang, M. et al. Cost Effectiveness of Sodium-Glucose Cotransporter-2 (SGLT2) Inhibitors, Glucagon-Like Peptide-1 (GLP-1) Receptor Agonists, and Dipeptidyl Peptidase-4 (DPP-4) Inhibitors: A Systematic Review. PharmacoEconomics 37, 777–818 (2019). https://doi.org/10.1007/s40273-019-00774-9
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DOI: https://doi.org/10.1007/s40273-019-00774-9