Cited by 61Diabetes Treatment and ManagementDiabetes Management and ResearchDiabetes and associated disorders

Assessing the risk of ketoacidosis due to sodium-glucose cotransporter (SGLT)-2 inhibitors in patients with type 1 diabetes: A meta-analysis and meta-regression

Open access
Musso, Giovanni, Sircana, Antonio, Saba, Francesca, Cassader, Maurizio, Gambino, Roberto·2020·PLOS Medicine

Abstract

Background: Sodium-glucose cotransporter-2 (SGLT2) inhibitors (SGLT2i) showed benefits in type 1 diabetes mellitus (T1DM), but the risk of diabetic ketoacidosis (DKA) limits their use. Ability to predict DKA risk and therapeutic responses would enable appropriate patient selection for SGLT2i. We conducted a meta-analysis and meta-regression of randomized controlled trials (RCTs) evaluating SGLT2i in T1DM to assess moderators of the relative risk (RR) of DKA, of glycemic (HbA1c, fasting plasma glucose, continuous glucose monitoring parameters, insulin dose, and insulin sensitivity indices) and non-glycemic (body mass index (BMI), systolic BP, renal function, albuminuria, and diabetic eye disorders) efficacy, and of other safety outcomes (including hypoglycemia, infections, major adverse cardiovascular events, and death). Methods and findings: We searched MEDLINE, Cochrane Library, EMBASE, ClinicalTrials.gov , Cochrane CENTRAL Register of Controlled Trials, and other electronic sources through August 30, 2020, for RCTs comparing SGLT2i with active comparators or placebo in adult patients with T1DM. Reviewers extracted data for relevant outcomes, performed random effects meta-analyses, subgroup analyses, and multivariable meta-regression. The strength of evidence was summarized with the GRADE approach. Among 9,914 records identified, 18 placebo-controlled RCTs (7,396 participants, 50% males, mean age 42 y (range 23 to 55 y), 5 different SGLT2i evaluated), were included. Main outcome measures were effect sizes and moderators of glycemic and non-glycemic efficacy and of safety outcomes. In a multivariable meta-regression model, baseline BMI (β = 0.439 [95% CI: 0.211, 0.666], p < 0.001) and estimated glucose disposal rate (eGDR) (β = −0.766 [−1.276, −0.256], p = 0.001) were associated with the RR of DKA (RR: 2.81; 95% CI:1.97, 4.01; p < 0.001, R 2 = 61%). A model including also treatment-related parameters (insulin dose change-to-baseline insulin sensitivity ratio and volume depletion) explained 86% of variance across studies in the risk of DKA (R 2 = 86%). The association of DKA with a BMI >27 kg/m 2 and with an eGDR <8.3 mg/kg/min was confirmed also in subgroup analyses. Among efficacy outcomes, the novel findings were a reduction in albuminuria (WMD: −9.91, 95% CI: −16.26, −3.55 mg/g, p = 0.002), and in RR of diabetic eye disorders (RR: 0.27[0.11, 0.67], p = 0.005) associated with SGLT2i. A SGLT2i dose-response gradient was consistently observed for main efficacy outcomes, but not for adverse events (AEs). Overall, predictors of DKA and of other AEs differed substantially from those of glycemic and non-glycemic efficacy. A limitation of our analysis was the relatively short (≤52 weeks) duration of included RCTs. The potential relevance for clinical practice needs also to be confirmed by real-world prospective studies. Conclusions: In T1DM, the risk of DKA and main therapeutic responses to SGLT2i are modified by baseline BMI and insulin resistance, by total insulin dose reduction-to-baseline insulin sensitivity ratio, and by volume depletion, which may enable the targeted use of these drugs in patients with the greatest benefit and the lowest risk of DKA.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1371/journal.pmed.1003461

Cites

14 of 14 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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?

  • Cardiovascular and heart failure outcomes trials evaluating SGLT inhibition had low rates of ketoacidosis but excluded individuals with type 1 diabetes and/or recent history of diabetic ketoacidosis.

    “Although there were low rates of ketoacidosis in the cardiovascular and heart failure outcomes trials evaluating SGLT inhibition, these studies excluded individuals with type 1 diabetes and/or recent history of diabetic ketoacidosis (309,312).”

    From 10. Cardiovascular Disease and Risk Management: Standards of Care in Diabetes—2025 (2025) · cites this paper as [312]

    The Results section reports ketoacidosis risk in SGLT2-inhibitor trials involving people with type 1 diabetes, not rates in cardiovascular or heart-failure outcomes trials. Searches for those trials and for exclusions based on type 1 diabetes or recent ketoacidosis found no passage addressing the claim in our copy. (LLM, conf=0.72)

    Experimental — accuracy not yet measured
  • Although there were low rates of ketoacidosis in the cardiovascular and heart failure outcomes trials evaluating SGLT inhibition, these studies excluded individuals with type 1 diabetes and/or recent history of diabetic ketoacidosis.

    “Although there were low rates of ketoacidosis in the cardiovascular and heart failure outcomes trials evaluating SGLT inhibition, these studies excluded individuals with type 1 diabetes and/or recent history of diabetic ketoacidosis (296,298).”

    From 10. Cardiovascular Disease and Risk Management: Standards of Care in Diabetes—2026 (2026) · cites this paper as [298]

    The Methods (Study selection; page unavailable) and Results (DKA; page unavailable) concern trials of SGLT2 inhibitors in people with type 1 diabetes, not the cardiovascular or heart-failure outcomes trials named in the claim. Searches for those trials’ ketoacidosis rates and exclusions, including recent DKA, found no passage addressing them in our copy. (LLM, conf=0.73)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 56

  1. [2]Patterson CC, Harjutsa lo V, Rosenbauer J, Neu A, Cinek O, Skrivarhaug T, et al Trends and cyclical variation in the incidence of childhood type 1 diabetes in 26 European centres in the 25 year period 1989–2013: a multicentre prospective registration study. Diabetologia. 2019; 62: 408– 17. 10.1007/s00125-018-4763-3 30483858 · DOI
  2. [4]Grempler R, Thomas L, Eckhardt M, Sauer A, Sharp DE, Bakker RA, et al Empagliflozin, a novel selective sodium glucose cotransporter-2 (SGLT-2) inhibitor: characterisation and comparison with other SGLT-2 inhibitors. Diabetes Obes Metab. 2012; 14: 83– 90. 10.1111/j.1463-1326.2011.01517.x 21985634 · DOI · Paper page
  3. [5]Wolfsdorf JI, Ratner RE. SGLT Inhibitors for Type 1 Diabetes: Proceed With Extreme Caution. Diabetes Care. 2019; 42: 991– 3. 10.2337/dci19-0008 31110116 · DOI · Paper page
  4. [7]Musso G, Gambino R, Cassader M, Paschetta E. Efficacy and safety of dual SGLT 1/2 inhibitor sotagliflozin in type 1 diabetes: meta-analysis of randomised controlled trials. BMJ. 2019; 365: l1328 10.1136/bmj.l1328 30967375 PMC6454301 · DOI
  5. [8]Musso G, Saba F, Cassader M, Gambino R Diabetic ketoacidosis with SGLT2 inhibitors. BMJ. 2020 11 12; 371: m4147 10.1136/bmj.m4147 33184044 · DOI
  6. [9]Astellas Pharma. Approval of Suglat tablets, selective SGLT2 inhibitor, for additional indication of type 1 diabetes mellitus and additional dosage and administration in Japan. Press Release. https://www.astellas.com/system/files/news/2018-12/181221_2_Eg_2.pdf. Accessed December 24., 2018.
  7. [10]AstraZeneca. 2019/forxiga-approved-in-japan-for-type-1-diabetes-27032019. html. 2019. Accessed March 27, 2019. https://www.astrazeneca.com/media-centre/press-releases/
  8. [12]Adler AI, Ting S, Dent R, Latimer N. NICE guidance on dapagliflozin with insulin for type 1 diabetes. Lancet Diabetes Endocrinol. 2019; 7: 750– 1. 10.1016/S2213-8587(19)30265-7 31488391 · DOI
  9. [13]Adler AI, Cronshaw J, Prescott C, Patel S, Donegan E, Hayre J. NICE guidance on sotagliflozin for type 1 diabetes. Lancet Diabetes Endocrinol. 2020; 8: 274– 5. 10.1016/S2213-8587(20)30066-8 32105642 · DOI
  10. [15]https://www.astrazeneca.com/content/astraz/media-centre/press-releases/2019/update-on-us-regulatory-decision-for-farxiga-in-type-1-diabetes-15072019.html
  11. [17]Dashora U, Patel D, Gregory R, Nagi D. Association of British Clinical Diabetologists (ABCD) position statement on the use of sodium-glucose contransporter-2(SGLT-2) inhibitors in type 1 diabetes. Br J Diabetes. 2018; 18: 117– 21.
  12. [18]Danne T, Garg S, Peters AL, John B, Buse JB, Mathieu C, et al International Consensus on Risk Management of Diabetic Ketoacidosis in Patients With Type 1 Diabetes Treated With Sodium-Glucose Cotransporter (SGLT) Inhibitors. Diabetes Care. 2019; 42: 1147– 54. 10.2337/dc18-2316 30728224 PMC6973545 · DOI · Paper page
  13. [22]Kitabchi AE, Umpierrez GE, Miles JM, Fisher JN. Hyperglycemic crises in adult patients with diabetes. Diabetes Care. 2009; 32: 1335– 43. 10.2337/dc09-9032 19564476 PMC2699725 · DOI · Paper page
  14. [24]Soupal J, Skrha J Jr, Fajmon M, Horová E, Mráz M, Škrha J, et al Glycemic variability is higher in type 1 diabetes patients with microvascular complications irrespective of glycemic control. Diabetes Technol Ther. 2014; 16: 198– 203. 10.1089/dia.2013.0205 24401008 · DOI
  15. [25]Donga E, Dekkers OM, Corssmit EP, Romijn JA. Insulin resistance in patients with type 1 diabetes assessed by glucose clamp studies: systematic review and meta-analysis. Eur J Endocrinol. 2015; 173: 101– 9. 10.1530/EJE-14-0911 25899581 · DOI
  16. [26]Agiostratidou G, Anhalt H, Ball D, Blonde L, Gourgari E, Harrimanet KN, et al Standardizing Clinically Meaningful Outcome Measures Beyond HbA1c for Type 1 Diabetes: A Consensus Report of the American Association of Clinical Endocrinologists, the American Association of Diabetes Educators, the American Diabetes Association, the Endocrine Society, JDRF International, The Leona M. and Harry B. Helmsley Charitable Trust, the Pediatric Endocrine Society, and the T1D Exchange. Diabetes Care. 2017; 40: 1622– 30. 10.2337/dc17-1624 29162582 PMC5864122 · DOI · Paper page
  17. [27]Grunberger G, Abelseth JM, Bailey TS, Bode BW, Handelsman Y, Hellman R, et al Consensus statement by the American Association of Clinical Endocrinologists/American College of Endocrinology insulin pump management task force. Endocr Pract. 2014; 20: 463– 89. 10.4158/EP14145.PS 24816754 · DOI
  18. [28]Walsh J, Roberts R, Bailey T. Guidelines for Insulin Dosing in Continuous Subcutaneous Insulin Infusion Using New Formulas from a Retrospective Study of Individuals with Optimal Glucose Levels. J Diabetes Sci Technol. 2010; 4: 1174– 81. 10.1177/193229681000400516 20920437 PMC2956816 · DOI · Paper page
  19. [29]Wilkinson CP, Ferris FL 3rd, Klein RE, Lee PP, Agardh CD, Davis M, et al Global Diabetic Retinopathy Project Group. Proposed international clinical diabetic retinopathy and diabetic macular edema disease severity scales. Ophthalmology. 2003; 110: 1677– 82. 10.1016/S0161-6420(03)00475-5 13129861 · DOI
  20. [32]Viswanathan M, Patnode CD, Berkman ND, Bass EB, Chang S, Hartling L, et al Recommendations for assessing the risk of bias in systematic reviews of health-care interventions. J Clin Epidemiol. 2018; 97: 26– 34. 10.1016/j.jclinepi.2017.12.004 29248724 · DOI · Paper page
  21. [34]Lexchin J. Sponsorship bias in clinical research. Int J Risk Saf Med. 2012; 24: 233– 42. 10.3233/JRS-2012-0574 23135338 · DOI
  22. [35]Safer DJ. Design and reporting modifications in industry sponsored comparative psychopharmacology trials. J Nerv Ment Dis. 2002; 190: 583– 92. 10.1097/00005053-200209000-00002 12357091 · DOI · Paper page
  23. [36]National Research Council. Panel on Handling Missing Data in Clinical Trials. Committee on National Statistics, Division of Behavioral and Social Sciences and Education. Washington, DC: The National Academies Press; 2010. The prevention and treatment of missing data in clinical trials.
  24. [37]Psaty BM, Kronmal RA. Reporting mortality findings in trials of rofecoxib for Alzheimer disease or cognitive impairment: a case study based on documents from rofecoxib litigation. JAMA. 2008; 299: 1813– 7. 10.1001/jama.299.15.1813 18413875 · DOI
  25. [38]Henry DA, Kerridge IH, Hill SR, McNeill PM, Doran E, Newby DA, et al Medical specialists and pharmaceutical industry-sponsored research: A survey of the Australian experience. MJA. 2005; 182: 557– 60. 15938681
  26. [40]Review Manager (RevMan) [computer program]. Version 5.3. Copenhagen, Denmark: Nordic Cochrane Center, Cochrane Collaboration; 2012.
  27. [41]Liberati A, Altman DG, Tetzlaff J, Mulrow C, Gøtzsche PC, et al The PRISMA Statement for Reporting Systematic Reviews and Meta-Analyses of Studies That Evaluate Health Care Interventions: Explanation and Elaboration. BMJ. 2009; 339: b2700 10.1136/bmj.b2700 19622552 PMC2714672 · DOI · Paper page
  28. [43]Fisher DJ, Carpenter JR, Morris TP, Freeman SC, Tierney JF. Meta-analytical methods to identify who benefits most from treatments: daft, deluded, or deft approach? BMJ. 2017; 356: j573 10.1136/bmj.j573 28258124 PMC5421441 · DOI
  29. [44]Guyatt G, Oxman AD, Akl EA. GRADE guidelines: 1. Introduction-GRADE evidence profiles and summary of findings tables. J Clin Epidemiol. 2011; 64: 383– 94. 10.1016/j.jclinepi.2010.04.026 21195583 · DOI · Paper page
  30. [45]Thompson SG, Higgins JP. How should meta-regression analyses be undertaken and interpreted? Stat Med. 2002; 21: 1559– 73. 10.1002/sim.1187 12111920 · DOI · Paper page
  31. [46]Borenstein M, Hedges LV, Higgins JPT. Introduction to Meta-analysis (2009 John Wiley & Sons, Ltd) Chapter 20. Meta-Regression.
  32. [47]Henry RR, Dandona P, Pettus J, Mudaliar S, Xu J, Hansen L. Dapagliflozin in patients with type 1 diabetes: A post hoc analysis of the effect of insulin dose adjustments on 24-hour continuously monitored mean glucose and fasting β-hydroxybutyrate levels in a phase IIa pilot study. Diabetes Obes Metab. 2017; 19: 814– 21. 10.1111/dom.12882 28098426 · DOI
  33. [51]Austin PC, Steyerberg EW. The number of subjects per variable required in linear regression analyses. J Clin Epidemiol. 2015; 68: 627– 36. 10.1016/j.jclinepi.2014.12.014 25704724 · DOI
  34. [52]Henry RR, Rosenstock J, Edelman S, Mudaliar S, Chalamandaris AG, Kasichayanula S, et al Exploring the potential of the SGLT2 inhibitor dapagliflozin in type 1 diabetes: a randomized, double-blind, placebo-controlled pilot study. Diabetes Care. 2015; 38: 412– 9. 10.2337/dc13-2955 25271207 · DOI
  35. [53]Watada H, Shiramoto M, Ueda S, Tang W, Asano M, Thorén F, et al Pharmacokinetics and pharmacodynamics of dapagliflozin in combination with insulin in Japanese patients with type 1 diabetes. Diabetes Obes Metab. 2019; 21: 876– 82. 10.1111/dom.13593 30499157 PMC6590304 · DOI
  36. [55]Dandona P, Mathieu C, Phillip M, Hansen L, Griffen SC, Tschöpe D, et al DEPICT-1 Investigators. Efficacy and safety of dapagliflozin in patients with inadequately controlled type 1 diabetes (DEPICT-1): 24 week results from a multicentre, double-blind, phase 3, randomised controlled trial. Lancet Diabetes Endocrinol. 2017; 5: 864– 76. 10.1016/S2213-8587(17)30308-X 28919061 · DOI
  37. [56]Dandona P, Mathieu C, Phillip M, Hansen L, Tschöpe D, Thorén F, et al DEPICT-1 Investigators. Efficacy and Safety of Dapagliflozin in Patients With Inadequately Controlled Type 1 Diabetes: The DEPICT-1 52-Week Study. Diabetes Care. 2018; 41: 2552– 9. 10.2337/dc18-1087 30352894 · DOI · Paper page
  38. [58]Kaku K, Isaka H, Toyoshima J, Sakatani T. Clinical pharmacology study of ipragliflozin in Japanese patients with type 1 diabetes mellitus: A phase 2, randomized, placebo-controlled trial. Diabetes Obes Metab. 2019; 21: 1445– 54. 10.1111/dom.13679 30821047 PMC6594083 · DOI
  39. [59]Kaku K, Isaka H, Sakatani T, Toyoshima J. Efficacy and safety of ipragliflozin add-on therapy to insulin in Japanese patients with type 1 diabetes mellitus: A randomized, double-blind, phase 3 trial. Diabetes Obes Metab. 2019; 21: 2284– 93. 10.1111/dom.13807 31173455 PMC6772182 · DOI
  40. [60]Henry RR, Thakkar P, Tong C, Polidori D, Alba M. Efficacy and Safety of Canagliflozin, a Sodium-Glucose Cotransporter 2 Inhibitor, as Add-on to Insulin in Patients With Type 1 Diabetes. Diabetes Care. 2015; 38: 2258– 65. 10.2337/dc15-1730 26486192 · DOI
  41. [61]Peters AL, Henry RR, Thakkar P, Tong C, Alba M. Diabetic Ketoacidosis With Canagliflozin, a Sodium-Glucose Cotransporter 2 Inhibitor, in Patients With Type 1 Diabetes. Diabetes Care. 2016; 39: 532– 8. 10.2337/dc15-1995 26989182 · DOI · Paper page
  42. [62]Rodbard HW, Peters AL, Slee A, Cao A, Traina SB, Alba M. The Effect of Canagliflozin, a Sodium Glucose Cotransporter 2 Inhibitor, on Glycemic End Points Assessed by Continuous Glucose Monitoring and Patient-Reported Outcomes Among People With Type 1 Diabetes. Diabetes Care. 2017; 40: 171– 80. 10.2337/dc16-1353 27899497 · DOI · Paper page
  43. [63]Pieber TR, Famulla S, Eilbracht J, Cescutti J, Soleymanlou N, Johansen OE, et al Empagliflozin as adjunct to insulin in patients with type 1 diabetes: a 4-week, randomized, placebo-controlled trial (EASE-1). Diabetes Obes Metab. 2015; 17: 928– 35. 10.1111/dom.12494 26080652 PMC4745028 · DOI
  44. [65]Rosenstock J, Marquard J, Laffel LM, Neubacher D, Kaspers S, Cherney DZ, et al Empagliflozin as Adjunctive to Insulin Therapy in Type 1 Diabetes: The EASE Trials. Diabetes Care. 2018; 41: 2560– 9. 10.2337/dc18-1749 30287422 · DOI · Paper page
  45. [66]Shimada A, Hanafusa T, Yasui A, Lee G, Taneda Y, Sarashina A, et al Empagliflozin as adjunct to insulin in Japanese participants with type 1 diabetes: Results of a 4-week, double-blind, randomized, placebo-controlled phase 2 trial. Diabetes Obes Metab. 2018; 20: 2190– 9. 10.1111/dom.13351 29766633 PMC6099358 · DOI
  46. [67]Baker C, Wason S, Banks P. A 12-week dose-ranging study of sotagliflozin, a dual SGLT1 and SGLT2 inhibitor, as adjunct therapy to insulin in type 1 diabetes (inTandem4). Diabetologia. 2017; 60: S409. PMC4831906 26049551
  47. [68]https://www.easd.org/virtualmeeting/home.html#!resources/a-12-week-dose-ranging-study-of sotagliflozin-a-dual-sglt1-and-sglt2-inhibitor-as-adjunct-therapy-to-insulin-in-type-1-diabetes intandem4Dose-ranging Study in Patients With Type 1 Diabetes Mellitus (inTandem4) PMC4831906 26049551
  48. [69]Bode B, Banks P, Strumph P, Sawhney S, The Sotagliflozin JDRF Study Writing Group. Efficacy and safety of sotagliflozin, a dual SGLT1 and SGLT2 inhibitor, as adjunct to insulin in young adults with poorly controlled type 1 diabetes (JDRF Study). Diabetologia. 2017; 60: S87– 8.
  49. [71]Sands AT, Zambrowicz BP, Rosenstock J, Lapuerta P, Bode BW, Garg SK, et al Sotagliflozin, a Dual SGLT1 and SGLT2 Inhibitor, as Adjunct Therapy to Insulin in Type 1 Diabetes. Diabetes Care. 2015; 38: 1181– 8. 10.2337/dc14-2806 26049551 PMC4831906 · DOI
  50. [73]Danne T, Cariou B, Banks P, Brandle M, Brath H, Franek E, et al HbA1c and Hypoglycemia Reductions at 24 and 52 Weeks With Sotagliflozin in Combination With Insulin in Adults With Type 1 Diabetes: The European inTandem2 Study. Diabetes Care. 2018; 41: 1981– 90. 10.2337/dc18-0342 29937431 · DOI
  51. [74]Garg SK, Henry RR, Banks P, Buse JB, Davies MJ, Fulcher GR, et al Effects of Sotagliflozin Added to Insulin in Patients with Type 1 Diabetes. N Engl J Med. 2017; 377: 2337– 48. 10.1056/NEJMoa1708337 28899222 · DOI · Paper page
  52. [75]Rosenstock J, Ferrannini E. Euglycemic Diabetic Ketoacidosis: A Predictable, Detectable, and Preventable Safety Concern With SGLT2 Inhibitors. Diabetes Care. 2015; 38: 1638– 42. 10.2337/dc15-1380 26294774 · DOI · Paper page
  53. [76]Perry RJ, Rabin-Court A, Song JD, Cardone RL, Wang Y, Kibbey RG, et al Dehydration and insulinopenia are necessary and sufficient for euglycemic ketoacidosis in SGLT2 inhibitor-treated rats. Nat Commun. 2019; 10: 548 10.1038/s41467-019-08466-w 30710078 PMC6358621 · DOI
  54. [77]Neuen BL, Ohkuma T, Neal B, Matthews DR, de Zeeuw D, Mahaffey KW, et al Cardiovascular and Renal Outcomes With Canagliflozin According to Baseline Kidney Function. Circulation. 2018; 138: 1537– 50. 10.1161/CIRCULATIONAHA.118.035901 29941478 PMC6181277 · DOI · Paper page
  55. [78]Heerspink HJ, Perkins BA, Fitchett DH, Husain M, Cherney DZ. Sodium glucose cotransporter 2 inhibitors in the treatment of diabetes mellitus: cardiovascular and kidney effects, potential mechanisms, and clinical applications. Circulation. 2016; 134: 752– 72. 10.1161/CIRCULATIONAHA.116.021887 27470878 · DOI · Paper page
  56. [79]Weinstock RS, Xing D, Maahs DM, Michels A, Rickels MR, Peters AL, et al Severe hypoglycemia and diabetic ketoacidosis in adults with type 1 diabetes: results from the T1D Exchange clinic registry. J Clin Endocrinol Metab. 2013; 98: 3411– 9. 10.1210/jc.2013-1589 23760624 · DOI · Paper page

Cited by

Sorted by citations

Authors
Musso, G., Sircana, A., Saba, F., Cassader, M., & Gambino, R.
Affiliations
  • Ospedale Humanitas Gradenigo (IT)
  • Azienda Ospedaliero Universitaria di Sassari (IT)
  • University of Turin (IT)
Corresponding author
Musso, Giovanni
Venue
PLOS Medicine
Published
2020-12-29
Volume
17
Issue
12
Pages
e1003461
ISSN
  • 1549-1277 (ISSN-L)
  • 1549-1676
OpenAlex
W3116973135
Cited by
61
References
14
Citations by year
2026: 13 · 2025: 11 · 2024: 11 · 2023: 9 · 2022: 10 · 2021: 7
FWCI
1.04
Type
journal article
Language
en
Open access
Locations
  • PLoS Medicine (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Institutional Research Information System University of Turin (University of Turin) (submittedVersion, other-oa)
  • RePEc: Research Papers in Economics (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Topics
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Treatment and Management
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Diabetes and associated disorders
Keywords
SGLT2 inhibitors, type 1 diabetes, diabetic ketoacidosis, estimated glucose disposal rate, insulin dose, hypoglycemia, major adverse cardiovascular events, renal safety, albuminuria, drug safety, patient selection, continuous glucose monitoring, insulin sensitivity index, HbA1c, fasting blood glucose
MeSH terms
Sodium-Glucose Transporter 2 Inhibitors, Adult, Diabetes Mellitus, Type 1, Female, Humans, Male, Middle Aged, Risk Factors, Randomized Controlled Trials as Topic, Diabetic Ketoacidosis, Treatment Outcome, Risk Assessment, Young Adult

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