Benefits and harms of drug treatment for type 2 diabetes: systematic review and network meta-analysis of randomised controlled trials
Open accessAbstract
Objective: To compare the benefits and harms of drug treatments for adults with type 2 diabetes, adding non-steroidal mineralocorticoid receptor antagonists (including finerenone) and tirzepatide (a dual glucose dependent insulinotropic polypeptide (GIP)/glucagon-like peptide-1 (GLP-1) receptor agonist) to previously existing treatment options. Design: Systematic review and network meta-analysis. Data sources: Ovid Medline, Embase, and Cochrane Central up to 14 October 2022. Eligibility criteria for selecting studies: Eligible randomised controlled trials compared drugs of interest in adults with type 2 diabetes. Eligible trials had a follow-up of 24 weeks or longer. Trials systematically comparing combinations of more than one drug treatment class with no drug, subgroup analyses of randomised controlled trials, and non-English language studies were deemed ineligible. Certainty of evidence was assessed following the GRADE (grading of recommendations, assessment, development and evaluation) approach. Results: The analysis identified 816 trials with 471 038 patients, together evaluating 13 different drug classes; all subsequent estimates refer to the comparison with standard treatments. Sodium glucose cotransporter-2 (SGLT-2) inhibitors (odds ratio 0.88, 95% confidence interval 0.83 to 0.94; high certainty) and GLP-1 receptor agonists (0.88, 0.82 to 0.93; high certainty) reduce all cause death; non-steroidal mineralocorticoid receptor antagonists, so far tested only with finerenone in patients with chronic kidney disease, probably reduce mortality (0.89, 0.79 to 1.00; moderate certainty); other drugs may not. The study confirmed the benefits of SGLT-2 inhibitors and GLP-1 receptor agonists in reducing cardiovascular death, non-fatal myocardial infarction, admission to hospital for heart failure, and end stage kidney disease. Finerenone probably reduces admissions to hospital for heart failure and end stage kidney disease, and possibly cardiovascular death. Only GLP-1 receptor agonists reduce non-fatal stroke; SGLT-2 inhibitors are superior to other drugs in reducing end stage kidney disease. GLP-1 receptor agonists and probably SGLT-2 inhibitors and tirzepatide improve quality of life. Reported harms were largely specific to drug class (eg, genital infections with SGLT-2 inhibitors, severe gastrointestinal adverse events with tirzepatide and GLP-1 receptor agonists, hyperkalaemia leading to admission to hospital with finerenone). Tirzepatide probably results in the largest reduction in body weight (mean difference −8.57 kg; moderate certainty). Basal insulin (mean difference 2.15 kg; moderate certainty) and thiazolidinediones (mean difference 2.81 kg; moderate certainty) probably result in the largest increases in body weight. Absolute benefits of SGLT-2 inhibitors, GLP-1 receptor agonists, and finerenone vary in people with type 2 diabetes, depending on baseline risks for cardiovascular and kidney outcomes ( https://matchit.magicevidence.org/230125dist-diabetes ). Conclusions: This network meta-analysis extends knowledge beyond confirming the substantial benefits with the use of SGLT-2 inhibitors and GLP-1 receptor agonists in reducing adverse cardiovascular and kidney outcomes and death by adding information on finerenone and tirzepatide. These findings highlight the need for continuous assessment of scientific progress to introduce cutting edge updates in clinical practice guidelines for people with type 2 diabetes. Systematic review registration: PROSPERO CRD42022325948.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The prior network meta-analysis [55] included only six RCTs involving tirzepatide.
“the authors included only six RCTs involving tirzepatide”
From Subcutaneously administered tirzepatide vs semaglutide for adults with type 2 diabetes: a systematic review and network meta-analysis of randomised controlled trials (2024) · cites this paper as [55]
The Introduction says the network meta-analysis included tirzepatide, and the Results report analyses of its effects. Neither those passages nor the passages retrieved for the trial count state that exactly six tirzepatide RCTs were included; the Introduction cites five tirzepatide trials as background, not as a count of included trials. No page number is available in our copy. (LLM, conf=0.82)
Experimental — accuracy not yet measuredThe prior network meta-analysis [55] did not provide information on comparative effects across different doses of the two medications.
“did not provide information on comparative effects across different doses of the two medications [55]”
A prior network meta-analysis found s.c. tirzepatide to be more effective than s.c. semaglutide in weight management.
“our systematic review builds upon the findings of a network meta-analysis that found s.c. tirzepatide to be more effective than s.c. semaglutide in weight management [55]”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
No citation lists for this paper
No citation lists for this paper yet — checked again daily.
References 41 · Cited by 293
Research works printed but not linked: 27
- [1]Gregg EW Jakicic JM Blackburn G Look AHEAD Research Group. Association of the magnitude of weight loss and changes in physical fitness with long-term cardiovascular disease outcomes in overweight or obese people with type 2 diabetes: a post-hoc analysis of the Look AHEAD randomised clinical trial. Lancet Diabetes Endocrinol 2016; 4: 913- 21. 10.1016/S2213-8587(16)30162-0. 27595918 PMC5094846 · DOI · Paper page
- [3]Li S Vandvik PO Lytvyn L. SGLT-2 inhibitors or GLP-1 receptor agonists for adults with type 2 diabetes: a clinical practice guideline. BMJ 2021; 373: n1091. 10.1136/bmj.n1091. 33975892 · DOI
- [6]Rosenstock J Wysham C Frías JP. Efficacy and safety of a novel dual GIP and GLP-1 receptor agonist tirzepatide in patients with type 2 diabetes (SURPASS-1): a double-blind, randomised, phase 3 trial. Lancet 2021; 398: 143- 55. 10.1016/S0140-6736(21)01324-6. 34186022 · DOI · Paper page
- [8]Ludvik B Giorgino F Jódar E. Once-weekly tirzepatide versus once-daily insulin degludec as add-on to metformin with or without SGLT2 inhibitors in patients with type 2 diabetes (SURPASS-3): a randomised, open-label, parallel-group, phase 3 trial. Lancet 2021; 398: 583- 98. 10.1016/S0140-6736(21)01443-4. 34370970 · DOI · Paper page
- [9]Del Prato S Kahn SE Pavo I SURPASS-4 Investigators. Tirzepatide versus insulin glargine in type 2 diabetes and increased cardiovascular risk (SURPASS-4): a randomised, open-label, parallel-group, multicentre, phase 3 trial. Lancet 2021; 398: 1811- 24. 10.1016/S0140-6736(21)02188-7. 34672967 · DOI · Paper page
- [11]Rydén L Standl E. After Metformin - Next Steps for Type 2 Diabetes with Low Cardiovascular Risk. N Engl J Med 2022; 387: 1136- 8. 10.1056/NEJMe2210531. 36130002 · DOI
- [14]Marx N Ryden L Brosius F. Towards living guidelines on cardiorenal outcomes in diabetes: A pilot project of the Taskforce of the Guideline Workshop 2020. Diabetes Res Clin Pract 2021; 177: 108870. 10.1016/j.diabres.2021.108870. 34044026 · DOI
- [16]Hutton B Salanti G Caldwell DM. The PRISMA extension statement for reporting of systematic reviews incorporating network meta-analyses of health care interventions: checklist and explanations. Ann Intern Med 2015; 162: 777- 84. 10.7326/M14-2385. 26030634 · DOI · Paper page
- [19]Rücker G. Network meta-analysis, electrical networks and graph theory. Res Synth Methods 2012; 3: 312- 24. 10.1002/jrsm.1058. 26053424 · DOI · Paper page
- [20]Shi Q Wang Y Hao Q. Pharmacotherapy for adults with overweight and obesity: a systematic review and network meta-analysis of randomised controlled trials. Lancet 2022; 399: 259- 69. 10.1016/S0140-6736(21)01640-8. 34895470 · DOI · Paper page
- [21]Bhaumik DK Amatya A Normand S-L. Meta-Analysis of Rare Binary Adverse Event Data. J Am Stat Assoc 2012; 107: 555- 67. 10.1080/01621459.2012.664484. 23734068 PMC3665366 · DOI
- [22]Higgins JPT Jackson D Barrett JK Lu G Ades AE White IR. Consistency and inconsistency in network meta-analysis: concepts and models for multi-arm studies. Res Synth Methods 2012; 3: 98- 110. 10.1002/jrsm.1044. 26062084 PMC4433772 · DOI · Paper page
- [23]König J Krahn U Binder H. Visualizing the flow of evidence in network meta-analysis and characterizing mixed treatment comparisons. Stat Med 2013; 32: 5414- 29. 10.1002/sim.6001. 24123165 · DOI
- [24]Wiksten A Hawkins N Piepho H-P Gsteiger S. Nonproportional Hazards in Network Meta-Analysis: Efficient Strategies for Model Building and Analysis. Value Health 2020; 23: 918- 27. 10.1016/j.jval.2020.03.010. 32762994 · DOI
- [25]Efthimiou O Rücker G Schwarzer G Higgins JPT Egger M Salanti G. Network meta-analysis of rare events using the Mantel-Haenszel method. Stat Med 2019; 38: 2992- 3012. 10.1002/sim.8158. 30997687 · DOI
- [28]Davies AL Papakonstantinou T Nikolakopoulou A Rücker G Galla T. Network meta-analysis and random walks. Stat Med 2022; 41: 2091- 114. 10.1002/sim.9346. 35293631 PMC9311228 · DOI
- [30]Zeng L Brignardello-Petersen R Hultcrantz M. GRADE guidelines 32: GRADE offers guidance on choosing targets of GRADE certainty of evidence ratings. J Clin Epidemiol 2021; 137: 163- 75. 10.1016/j.jclinepi.2021.03.026. 33857619 · DOI
- [33]Phillips MR Sadeghirad B Busse JW. Development and design validation of a novel network meta-analysis presentation tool for multiple outcomes: a qualitative descriptive study. BMJ Open 2022; 12: e056400. 10.1136/bmjopen-2021-056400. 35688599 PMC9189833 · DOI
- [34]Buchan TA Malik A Chan C. Predictive models for cardiovascular and kidney outcomes in patients with type 2 diabetes: systematic review and meta-analyses. Heart 2021; 107: 1962- 73. 10.1136/heartjnl-2021-319243. 33833070 · DOI
- [35]Wright AK Carr MJ Kontopantelis E. Primary Prevention of Cardiovascular and Heart Failure Events With SGLT2 Inhibitors, GLP-1 Receptor Agonists, and Their Combination in Type 2 Diabetes. Diabetes Care 2022; 45: 909- 18. 10.2337/dc21-1113. 35100355 · DOI
- [36]Rossing P Anker SD Filippatos G FIDELIO-DKD and FIGARO-DKD Investigators. Finerenone in Patients With Chronic Kidney Disease and Type 2 Diabetes by Sodium-Glucose Cotransporter 2 Inhibitor Treatment: The FIDELITY Analysis. Diabetes Care 2022; 45: 2991- 8. 10.2337/dc22-0294. 35972218 PMC9862372 · DOI
- [37]Sato N Ajioka M Yamada T ARTS-HF Japan study group. A Randomized Controlled Study of Finerenone vs. Eplerenone in Japanese Patients With Worsening Chronic Heart Failure and Diabetes and/or Chronic Kidney Disease. Circ J 2016; 80: 1113- 22. 10.1253/circj.CJ-16-0122. 27074824 · DOI
- [38]Ruilope LM Pitt B Anker SD. Kidney outcomes with finerenone: an analysis from the FIGARO-DKD study. Nephrol Dial Transplant 2023; 38: 372- 83. 35451488 PMC9923706
- [40]Hundemer GL Sood MM. Hyperkalemia with RAAS inhibition: Mechanism, clinical significance, and management. Pharmacol Res 2021; 172: 105835. 10.1016/j.phrs.2021.105835. 34438065 · DOI
- [42]Deacon CF. Dipeptidyl peptidase 4 inhibitors in the treatment of type 2 diabetes mellitus. Nat Rev Endocrinol 2020; 16: 642- 53. 10.1038/s41574-020-0399-8. 32929230 · DOI · Paper page
- [43]Liu J Li L Li S. Sodium-glucose co-transporter-2 inhibitors and the risk of diabetic ketoacidosis in patients with type 2 diabetes: A systematic review and meta-analysis of randomized controlled trials. Diabetes Obes Metab 2020; 22: 1619- 27. 10.1111/dom.14075. 32364674 · DOI
- [44]Lin C Zhu X Cai X. SGLT2 inhibitors and lower limb complications: an updated meta-analysis. Cardiovasc Diabetol 2021; 20: 91. 10.1186/s12933-021-01276-9. 33910574 PMC8082772 · DOI
- Authors
- Shi, Q., Nong, K., Vandvik, P. O., Guyatt, G. H., Schnell, O., Rydén, L., Marx, N., Brosius, F. C., Mustafa, R. A., Agarwal, A., Zou, X., Mao, Y., Asadollahifar, A., Chowdhury, S. R., Zhai, C., Gupta, S., Gao, Y., Lima, J. P., Numata, K., Qiao, Z., Fan, Q., Yang, Q., Jin, Y., Ge, L., Yang, Q., Zhu, H., Yang, F., Chen, Z., Lu, X., He, S., Chen, X., Lyu, X., An, X., Chen, Y., Hao, Q., Standl, E., Siemieniuk, R., Agoritsas, T., Tian, H., & Li, S.
- Affiliations
- Sichuan University (CN)
- Lovisenberg Diakonale Sykehus (NO)
- McMaster University (CA)
- Helmholtz Munich (DE)
- Karolinska Institutet (SE)
- Universitätsklinikum Aachen (DE)
- University of Arizona (US)
- University of Kansas (US)
- Shariati Hospital (IR)
- Shandong Provincial Hospital (CN)
- Lanzhou University (CN)
- St. Marianna University School of Medicine (JP)
- Zhongnan Hospital of Wuhan University (CN)
- Chengdu Fifth People's Hospital (CN)
- Tianjin University of Traditional Chinese Medicine (CN)
- Department of Endocrinology and Metabolism, Division of Guideline and Rapid Recommendation, Cochrane China Centre, MAGIC China Centre, Chinese Evidence-Based Medicine Centre, West China Hospital, Sichuan University, Chengdu, China
- The First People's Hospital of Shuangliu District (CN)
- University Hospital of Geneva (CH)
- Corresponding author
- He, Siyu
- Li, Sheyu
- ORCID
- Shi, Qingyang
- Nong, Kailei
- Vandvik, Per Olav
- Guyatt, Gordon H
- Schnell, Oliver
- Rydén, Lars
- Marx, Nikolaus
- Brosius, Frank C
- Mustafa, Reem A
- Agarwal, Arnav
- Zou, Xinyu
- Mao, Yunhe
- Chowdhury, Saifur Rahman
- Zhai, Chunjuan
- Gupta, Sana
- Gao, Ya
- Lima, João Pedro
- Numata, Kenji
- Yang, Qinbo
- Jin, Yinghui
- Ge, Long
- Yang, Qiuyu
- Zhu, Hongfei
- Yang, Fan
- Chen, Zhe
- He, Siyu
- Chen, Xiangyang
- Chen, Yaolong
- Hao, Qiukui
- Standl, Eberhard
- Siemieniuk, Reed
- Agoritsas, Thomas
- Tian, Haoming
- Li, Sheyu
- Venue
- BMJ
- Publisher
- BMJ
- Published
- 2023-04-06
- Volume
- 381
- Pages
- e074068
- ISSN
- 1756-1833 (ISSN-L)
- PMC
- PMC10077111
- OpenAlex
- W4362693001
- Cited by
- 293
- References
- 41
- Citations by year
- 2026: 55 · 2025: 91 · 2024: 118 · 2023: 29
- FWCI
- 10.57
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- BMJ (publishedVersion, cc-by)
- PubMed (publishedVersion)
- RWTH Publications (RWTH Aachen) (publishedVersion, other-oa)
- PubMed Central (publishedVersion, cc-by)
- Archive ouverte UNIGE (University of Geneva) (submittedVersion, cc-by)
- RWTH Publications (RWTH Aachen)
- Funders
- University of Otago
- Sichuan University
- West China Hospital, Sichuan University (2020HXF011, 1.3.5)
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Treatment and Management
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Heart Failure Treatment and Management
- Keywords
- type 2 diabetes, SGLT2 inhibitors, GLP-1 receptor agonists, tirzepatide, finerenone, non-steroidal mineralocorticoid receptor antagonists, all-cause mortality, cardiovascular mortality, heart failure hospitalization, end-stage renal disease, stroke, quality of life, drug-related harm, comparative effectiveness
- MeSH terms
- Glucagon-Like Peptide-1 Receptor, Network Meta-Analysis, Sodium-Glucose Transporter 2 Inhibitors, Adult, Mineralocorticoid Receptor Antagonists, Diabetes Mellitus, Type 2, Heart Failure, Humans, Kidney Failure, Chronic, Quality of Life, Randomized Controlled Trials as Topic
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review