What this is
- This systematic review evaluates the effects of sodium-glucose cotransporter-2 inhibitors (SGLT2i) on (HF) outcomes.
- The analysis includes 77 randomized controlled trials with a total of 43,561 patients.
- The review compares the efficacy and safety of six SGLT2i, focusing on their impact on hospitalization, cardiovascular death, and cardiac remodeling.
Essence
- SGLT2i significantly improve outcomes in patients, with sotagliflozin showing superior efficacy over empagliflozin and dapagliflozin in reducing hospitalizations and cardiovascular death.
Key takeaways
- SGLT2i enhance outcomes, including reduced hospitalizations and cardiovascular death, compared to placebo. Dapagliflozin notably reduced hospitalizations for by a relative risk (RR) of 0.51.
- Sotagliflozin outperformed empagliflozin and dapagliflozin in reducing a composite outcome of hospitalization for and cardiovascular death, with RR values of 0.88 and 0.86 respectively.
- Canagliflozin exhibited a lower risk of urinary and reproductive infections compared to sotagliflozin, with a RR of 0.09.
Caveats
- The review primarily focuses on empagliflozin and dapagliflozin, with limited data on other SGLT2i, potentially biasing results.
- Clinical heterogeneity exists due to variations in baseline characteristics among the included studies, which may affect the generalizability of findings.
- Only one direct comparison between dapagliflozin and empagliflozin exists, limiting the evaluation of other SGLT2i's efficacy and safety.
Definitions
- SGLT2 inhibitors: A class of medications that lower blood sugar by preventing glucose reabsorption in the kidneys.
- Heart failure: A condition where the heart cannot pump enough blood to meet the body's needs, categorized by ejection fraction.
AI simplified
Introduction
Heart failure (HF) results from either contraction or relaxation dysfunction of the heart, leading to multisystem symptoms and signs. Despite a decrease in the age-standardized prevalence of HF from 1990 to 2019, the reduction is not significant, and HF remains a significant cause of disability and death worldwide (1). Currently, in developed countries (2β4), such as Britain, France, and the United States, the prevalence of HF ranges from 1.5% to 2.0%, while in developing countries (5) and regions, such as Asia and Africa, it spans from 1.3% to 6.7%. According to the latest definitions by the European and American Heart Association, HF is categorized into three main types, namely, HF with mildly reduced ejection fraction (HFrEF) (LVEF, <40%), HF with moderately reduced ejection fraction (LVEF, 40%β50%), and HF with preserved ejection fraction (HFpEF) (EF, β₯50%). However, many previous meta-analyses defined HFpEF as EF β₯ 45%, which contrasts with the current HF classification. Hence, our study adopts the definition of HFpEF β₯ 50%.
SGLT2i is a new class of antidiabetic medications originally developed for managing diabetes. Recent research demonstrated their efficacy in improving outcomes for patients with HF, such as reduction in hospitalizations, cardiovascular mortality, adverse cardiac remodeling, and other associated factors, irrespective of the presence of diabetes. In addition, adverse cardiac remodeling is a critical mechanism in the progression of HF and serves as an independent risk factor for mortality and morbidity in patients with cardiovascular disease (5). Nevertheless, the comprehensive evaluation of SGLT2i effects on adverse cardiac remodeling in HF patients remains limited, with existing studies yielding divergent results. Despite the generally favorable effects of SGLT2i on HF patients, there is a lack of consensus on the most effective SGLT2i variation for HF treatment. Therefore, we conducted a systematic review and meta-analysis of randomized controlled trials (RCT), including a subgroup analysis based on varying ejection fractions to assess the effectiveness and safety profile of six SGLT2i for HF. This study aims to offer valuable evidence to aid clinical decision-making in HF management.
Materials and methods
Registration
The protocol for this systematic review and meta-analysis was not registered. The data supporting this article are available in the article and its online. Supplementary Material
Literature search
PubMed, Embase, Web of Science, Cochrane Library, CNKI, China Biomedical Literature Service, VIP, and WanFang databases were systematically searched until 20 March 2024. Additionally, the reference lists of these relevant articles were meticulously reviewed to identify any potentially overlooked trials. The search strategy employed a combination of subject words and free words. The primary search terms included βsodiumβglucose cotransporter-2 inhibitorsβ or βSGLT2iβ and βheart failureβ and specific drug names such as βempagliflozinβ or βdapagliflozinβ or βcanagliflozinβ or βsotagliflozinβ or βipragliflozinβ or βertugliflozin.β
Inclusion and exclusion criteria
Literature inclusion criteria
Literature exclusion criteria
(1) Non-RCT, (2) duplicate publication, (3) meta-analysis studies, (4) ongoing or unpublished studies, (5) studies lacking original data or where data could not be calculated, and (6) observational or cohort studies.
Data extraction
Literature screening involved two researchers who independently reviewed articles based on the established inclusion and exclusion criteria. After individual assessments, they cross-checked their selections to ensure consistency. Key information, such as the first author's name, study design, baseline characteristics, and study endpoints, was systematically extracted from each article.
Literature quality evaluation
The quality of the included studies was independently assessed by two researchers using the βrisk of bias assessment criteriaβ from the Cochrane Reviewersβ Handbook (version 5.1.0). The evaluation of the RCTs involved the following components: (1) randomized method, (2) allocation concealment, (3) blinding of participant personnel and outcome assessors, (4) completeness of outcome data, (5) absence of selective outcome reporting, and (6) clarity of reasons for losses to follow-up or discontinuation.
Statistical analysis
The statistical analysis was conducted using Stata 15.1 software for network meta-analysis. Relative risks or odds ratios were determined for dichotomous variables, while continuous variables were analyzed using the frequentist methodology in network meta-analysis. Heterogeneity was set as I2 < 50% and p > 0.01 for the fixed effect model. Otherwise, the random effects model was applied. Pooled results for continuous variables were expressed as the mean difference (MD). The surface under the cumulative ranking (SUCRA) was employed to indicate the preferred ranking of each treatment. Small sample effects were investigated through a network funnel plot. P < 0.05 was considered statistically significant.
Results
Basic characteristics and quality assessment
A total of 6,229 relevant literature sources were identified through a comprehensive search across multiple databases. After thorough screening, 77 RCTs (6β82) were included in this study. The study encompassed a cohort of 43,561 patients diagnosed with HF, consisting of 11,734 patients with HFpEF and 31,827 patients with HFrEF. A detailed description of the literature search and screening process is illustrated in Figure 1, while the baseline characteristics are outlined in Table 1. Among the 77 selected articles, the outcome indicators related to HFpEF or HFrEF were simultaneously reported in 5 articles, 22 focused on HFpEF, and the remaining studies were centered on HFrEF. Specifically, 5 studies investigated canagliflozin treatment, which involved a total of 453 patients; 55 studies examined dapagliflozin treatment, with a collective enrollment of 16,201 patients; 16 studies utilized empagliflozin, which included 21,024 patients; 1 study explored the efficacy of ertugliflozin, which enrolled 478 patients; 1 study evaluated ipragliflozin treatment, with a cohort of 68 patients; and 4 studies analyzed the effects of sotagliflozin, which involved a total of 5,537 patients. Notably, except for empagliflozin and dapagliflozin, no studies directly compared the remaining four types of SGLT2i.
Flow diagram of study identification and selection.
| Author, year | Design | Country | Age, year | Sample size ()n | EF (%) | Type of SGLT2i | Control | Follow-up (months) | Oral dose (mg) | Outcome |
|---|---|---|---|---|---|---|---|---|---|---|
| Savarese, 2021 | RCT | Global | 65.45βΒ±β9.41 | 208 | β₯50 | Empagliflozin | Placebo | 37.2 | 10/25 | ABCD |
| Ueda, 2021 | RCT | Canada | 75.70βΒ±β6.50 | 82 | β₯50 | Canagliflozin | Placebo | 5.6 | 100 | BE |
| Akasaka, 2022 | RCT | Japan | 71.14βΒ±β8.21 | 68 | β₯50 | Ipragliflozin | Placebo | 2.8 | NR | JKLMN |
| Bhatt, 2021 | RCT | Global | 69.00βΒ±β1.83 | 1,667 | β₯50 | Sotagliflozin | Placebo | 16 | 200/400 | ABCDE |
| Pu XP, 2022 | RCT | China | 74.92βΒ±β8.57 | 123 | β₯50 | Empagliflozin | Placebo | 12 | 10 | BFGIJK |
| Li L, 2021 | RCT | China | 61.40βΒ±β9.78 | 60 | β₯50 | Dapagliflozin | Placebo | 6 | 10 | EFIJ |
| Liu SS, 2022 | RCT | China | 72.0βΒ±β6.0 | 100 | β₯50 | Dapagliflozin | Placebo | 12 | 10 | GN |
| Luo P, 2022 | RCT | China | 65.47βΒ±β7.15 | 64 | β₯50 | Dapagliflozin | Placebo | 6 | 10 | EFGN |
| Sun H, 2021 | RCT | China | 71.0βΒ±β7.38 | 46 | β₯50 | Dapagliflozin | Placebo | 6 | 10 | GJ |
| Xu X, 2021 | RCT | China | 67.01βΒ±β6.59 | 100 | β₯50 | Dapagliflozin | Placebo | 6 | 10 | EN |
| Yang F, 2022 | RCT | China | 18β80 | 96 | β₯50 | Dapagliflozin | Placebo | 6 | 10 | GHN |
| Solomon, 2022 | RCT | Global | 71.6βΒ±β9.5 | 4,147 | β₯50 | Dapagliflozin | Placebo | 8 | 10 | ABCD |
| Anker, 2021 | RCT | Global | 71.8βΒ±β9.3 | 4,013 | β₯50 | Empagliflozin | Placebo | 26.2 | 10 | ABCDE |
| Oldgren, 2021 | RCT | Italy | 64.4 | 49 | β₯50 | Dapagliflozin | Placebo | 1.5 | 10 | GIKCMNO |
| Tanaka, 2020 | RCT | Japan | 66.42βΒ±β10.18 | 165 | β₯50 | Canagliflozin | Placebo | 6 | 10 | GJN |
| Zeng H, 2023 | RCT | China | 52.10βΒ±β6.06 | 100 | β₯50 | Dapagliflozin | Placebo | 6 | 10 | GLMN |
| Duan HQ, 2023 | RCT | China | 52.92βΒ±β10.32 | 90 | β₯50 | Dapagliflozin | Placebo | 5.6 | 10 | ABCDGIJK |
| Liang ML, 2023 | RCT | China | 70.26βΒ±β0.53 | 80 | β₯50 | Dapagliflozin | Placebo | 3 | 10 | IK |
| Liu SS, 2023 | RCT | China | 64.03βΒ±β5.25 | 87 | β₯50 | Dapagliflozin | Placebo | 6 | 10 | GKLM |
| Lv LX, 2023 | RCT | China | 75.12βΒ±β5.45 | 115 | β₯50 | Dapagliflozin | Placebo | 6 | 10 | GIKN |
| Wang JM, 2023 | RCT | China | 18β75 | 74 | β₯50 | Dapagliflozin | Placebo | 12 | 10 | LM |
| Zhang N, 2024 | RCT | China | 72.30βΒ±β3.29 | 200 | β₯50 | Dapagliflozin | Placebo | 6 | 10 | CEFGN |
| Savarese, 2021 | RCT | Global | 64.03βΒ±β8.59 | 419 | <50 | Empagliflozin | Placebo | 37.2 | 10 | ABCD |
| Anker, 2021 | RCT | Global | 69.99βΒ±β9.84 | 1983 | 40β50 | Empagliflozin | Placebo | 31.2 | 10 | ABCD |
| Bhatt, 2021 | RCT | Global | 69.00βΒ±β1.83 | 2,108 | β€40 | Sotagliflozin | Placebo | 16 | 200/400 | ABCDE |
| Bhatt, 2021 | RCT | Global | 68.15βΒ±β2.25 | 966 | <50 | Sotagliflozin | Placebo | 9 | 200/400 | A |
| Nassif, 2019 | RCT | USA | 60.61βΒ±β11.98 | 263 | β€40 | Dapagliflozin | Placebo | 2.8 | 10 | ACFGH |
| McMurray, 2019 | RCT | Global | 64.34βΒ±β11.01 | 4,744 | β€40 | Dapagliflozin | Placebo | 2 | 10 | ABCD |
| Jensen, 2020 | RCT | Denmark | 64.00βΒ±β11.00 | 190 | β€40 | Empagliflozin | Placebo | 2.8 | 10 | GH |
| Packer, 2020 | RCT | Global | 66.78βΒ±β11.00 | 3,730 | β€40 | Empagliflozin | Placebo | 16 | 10 | ABCD |
| Lee, 2021 | RCT | British | 68.7βΒ±β11.1 | 105 | β€40 | Empagliflozin | Placebo | 8.4 | 10 | FGHIKLMNO |
| Santos, 2021 | RCT | USA | 62βΒ±β12.1 | 84 | β€40 | Empagliflozin | Placebo | 6 | 10 | CDFHILMNO |
| Omar, 2021 | RCT | Denmark | 64βΒ±β11 | 190 | β€40 | Empagliflozin | Placebo | 2.8 | 10 | IKLMNO |
| Cosentino, 2020 | RCT | USA | 64.33βΒ±β7.69 | 478 | β€45 | Ertugliflozin | Placebo | 42 | 15 | B |
| Abraham, 2021 | RCT | Global | 69.5βΒ±β2.41 | 312 | β€40 | Empagliflozin | Placebo | 2.8 | 10 | FH |
| Cao HQ, 2022 | RCT | China | 61.26βΒ±β2.66 | 48 | β€40 | Dapagliflozin | Placebo | 6 | 10 | FG |
| Cai RY, 2020 | RCT | China | 66.31βΒ±β6.52 | 80 | β€40 | Dapagliflozin | Placebo | 6 | 10 | GKN |
| Dai RX, 2022 | RCT | China | 66.5βΒ±β6.89 | 50 | 40β50 | Dapagliflozin | Placebo | 6 | 10 | FGN |
| Deng YF, 2022 | RCT | China | 84.68βΒ±β3.67 | 70 | β€40 | Dapagliflozin | Placebo | 6 | 10 | GN |
| Fan H, 2022 | RCT | China | 68.43βΒ±β12.77 | 80 | β€40 | Dapagliflozin | Placebo | 3 | 10 | FGN |
| Ni RZ, 2023 | RCT | China | 71.8βΒ±β3.39 | 200 | β€40 | Dapagliflozin | Placebo | 3 | 10 | FGN |
| He GZ, 2022 | RCT | China | 65.08βΒ±β5.25 | 100 | β€40 | Dapagliflozin | Placebo | 6 | 10 | GN |
| Su Y, 2022 | RCT | China | 51.69βΒ±β4.05 | 104 | β€40 | Dapagliflozin | Placebo | 3 | 10 | FGN |
| Jia PC, 2021 | RCT | China | 71.32βΒ±β3.32 | 50 | β€40 | Dapagliflozin | Placebo | 3 | 10 | ABEGJN |
| Xu LH, 2023 | RCT | China | 63.02βΒ±β9.71 | 84 | β€40 | Dapagliflozin | Placebo | 9 | 10 | BN |
| Li XF, 2020 | RCT | China | 72.81βΒ±β8.36 | 102 | β€40 | Dapagliflozin | Placebo | 2.8 | 10 | FGN |
| Liu YL, 2022 | RCT | China | 69.33βΒ±β5.39 | 106 | β€40 | Dapagliflozin | Placebo | 3 | 10 | B |
| Zhang LN, 2023 | RCT | China | 65.82βΒ±β6.60 | 70 | β€40 | Dapagliflozin | Placebo | 2.8 | 10 | FG |
| Wang FB, 2023 | RCT | China | 61.49βΒ±β6.68 | 103 | 40β50 | Dapagliflozin | Placebo | 6 | 10 | FGN |
| Yang P, 2021 | RCT | China | 63.10βΒ±β7.04 | 104 | β€40 | Dapagliflozin | Placebo | 6 | 10 | FGN |
| Wu WJ, 2021 | RCT | China | 69.00βΒ±β7.25 | 112 | 40β50 | empagliflozin | Placebo | 6 | 10 | AEFGH |
| Zhang ZR, 2022 | RCT | China | 55.60βΒ±β5.21 | 100 | 40β50 | Dapagliflozin | Placebo | 6 | 10 | FKLMN |
| Zheng HS, 2021 | RCT | China | 61.92βΒ±β11.56 | 147 | β€40 | Dapagliflozin | Placebo | 12 | 10 | EFGN |
| Ferreira, 2021 | RCT | Global | 68.20βΒ±β9.66 | 3,726 | β€40 | Empagliflozin | Placebo | 12 | 10 | ABCD |
| Jensen, 2021 | RCT | Denmark | 67.5βΒ±β10 | 120 | β€40 | Empagliflozin | Placebo | 2.8 | 10 | EO |
| Packer, 2021 | RCT | Global | 66.7βΒ±β10.9 | 3,726 | β€40 | Empagliflozin | Placebo | 12.1 | 10 | ABC |
| Palau, 2022 | RCT | Spain | 67.1βΒ±β10.7 | 90 | β€40 | Dapagliflozin | Placebo | 3 | 10 | F |
| Solomon, 202 | RCT | Global | 71.7βΒ±β9.5 | 2,116 | <50 | Dapagliflozin | Placebo | 8 | 10 | A |
| Anker, 2021 | RCT | Global | 71.7βΒ±β9.21 | 1,983 | <50 | Empagliflozin | Placebo | 26.2 | 10 | A |
| Gao ML, 2022 | RCT | China | 50.55βΒ±β4.50 | 123 | <50 | Dapagliflozin | Placebo | 6 | 10 | FGN |
| Tanaka, 2020 | RCT | Japan | 66.42βΒ±β10.18 | 68 | <50 | Canagliflozin | Placebo | 6 | 100 | GJN |
| Carbone, 2020 | RCT | USA | 58.15βΒ±β7.54 | 36 | <50 | Canagliflozin | Placebo | 3 | 100 | JLMN |
| Wei YJ, 2020 | RCT | China | 60.5βΒ±β13.53 | 102 | <50 | Canagliflozin | Placebo | 2 | 10 | FGN |
| Chen A, 2023 | RCT | China | 64.81βΒ±β10.72 | 80 | β€40 | Dapagliflozin | Placebo | 12 | 10 | ABCDG |
| Du BY, 2023 | RCT | China | 62.59βΒ±β5.67 | 75 | β€40 | Dapagliflozin | Placebo | 2.8 | 10 | CGN |
| Gong ZY, 2023 | RCT | China | 65.44βΒ±β4.68 | 100 | β€40 | Dapagliflozin | Placebo | 6 | 10 | BFGN |
| He P, 2023 | RCT | China | 68.75βΒ±β3.53 | 76 | <50 | Dapagliflozin | Placebo | 6 | 10 | GN |
| lv G, 2023 | RCT | China | 58.95βΒ±β6.26 | 160 | β€40 | Dapagliflozin | Placebo | 12 | 10 | GN |
| Pan LH, 2023 | RCT | China | 69.07βΒ±β9.35 | 120 | β€40 | Dapagliflozin | Placebo | 2.8 | 10 | FHN |
| Peng XX, 2023 | RCT | China | 59.97βΒ±β2.10 | 68 | 40β50 | Dapagliflozin | Placebo | 6 | 10 | IJKL |
| Wu F, 2023 | RCT | China | 61.01βΒ±β4.03 | 159 | β€40 | Dapagliflozin | Placebo | 3 | 10 | GN |
| Wu JF, 2023 | RCT | China | 69.28βΒ±β7.19 | 60 | β€40 | Dapagliflozin | Placebo | 3 | 10 | FGHLM |
| Wu N, 2023 | RCT | China | 64.8βΒ±β4.19 | 60 | β€40 | Dapagliflozin | Placebo | 6 | 10 | FGN |
| Yang L, 2023 | RCT | China | 67.32βΒ±β5.54 | 80 | β€40 | Dapagliflozin | Placebo | 3 | 10 | BCDGN |
| Zhao CC, 2023 | RCT | China | 55.89βΒ±β8.26 | 60 | β€40 | Dapagliflozin | Placebo | 3 | 10 | GN |
| Chen Y, 2024 | RCT | China | 65.14βΒ±β5.41 | 80 | β€45 | Dapagliflozin | Placebo | 3 | 10 | FGN |
| Gong QP, 2024 | RCT | China | 65.50βΒ±β5.48 | 120 | β€40 | Dapagliflozin | Placebo | 12 | 10 | EGN |
| Lu Q, 2024 | RCT | China | 67.43βΒ±β1.45 | 128 | β€40 | Dapagliflozin | Placebo | 12 | 10 | ACDEGN |
| Zhang LF, 20 | RCT | China | 72.95βΒ±β8.95 | 60 | β€40 | Dapagliflozin | Placebo | 5 | 10 | FGN |
| Bertram, 2023 | RCT | USA | 69.12βΒ±β2.00 | 596 | <50 | Sotagliflozin | Placebo | 3 | 200 | ABCDE |
| McMurray, 2024 | RCT | British | 69.00βΒ±β2.33 | 313 | β€40 | Dapagliflozin | Placebo | 3.7 | 10 | FH |
| Fu QY, 2023 | RCT | China | 70.55βΒ±β6.44 | 60 | β€40 | Dapagliflozin | Placebo | 12 | 10 | LMN |
Bias risk evaluation
The results of the bias risk evaluation are presented in Figure 2 and Supplementary Figure S1. For random sequence generation, 77 studies employing a random number table or a random Excel table were identified as low risk; 33 studies provided detailed descriptions of their allocation concealment procedures; however, the remaining studies lacked such descriptions. Regarding implementation bias, 29 studies were defined as high risk, 15 studies did not provide sufficient details, and the rest were classified as low risk. For the assessment of outcome data, one study was identified as high risk due to insufficient details, one was poorly described, and the others were considered low risk. All studies reported complete data for outcomes. Outcome selection bias indicated that 72 studies were classified as low risk, while 5 required further clarification. The results of other preferences showed that seven studies were defined as high risk, two were poorly described, and the remaining studies were assessed as low risk.
Risk of bias summary of all eligible RCTs evaluating the effect of SGLT2i in HFrEF or HFpEF.
Meta-analysis results
A composite of hospitalizations for HF and CV death
As shown in Table 2, sotagliflozin [RR = 0.69, 95% CI (0.64β0.75)], empagliflozin [RR = 0.79, CI (0.75β0.84)], and dapagliflozin [RR = 0.80, CI:(0.75β0.87)] exhibited significant efficacy in reducing a composite outcome of hospitalization for HF and CV death when compared to placebo. Sotagliflozin demonstrated superiority over empagliflozin [RR = 0.88, CI (0.79β0.97)] and dapagliflozin [RR = 0.86, CI (0.77β0.96)]. The network plot is shown in Figure 3A. The ranking based on SUCRA values is as follows: sotagliflozin (99%), empagliflozin (55%), dapagliflozin (47%), and placebo (0%), as shown in Table 3.
A network plot of each comparison in all eligible trials in HFrEF or HFpEF. () The network plot of each comparison in terms of a composite of hospitalization for HF and CV death. () The network plot of each comparison in terms of hospitalization for HF. () The network plot of each comparison in terms of CV death. () The network plot of each comparison in terms of all-cause death. () The network plot of each comparison in terms of a composite of urinary and reproductive infections. () The network plot of each comparison in terms of 6 min walk distance. () The network plot of each comparison in terms of NT-proBNP. () The network plot of each comparison in terms of KCCQ. () The network plot of each comparison in terms of LAVi. () The network plot of each comparison in terms of E/eβ. () The network plot of each comparison in terms of LVMi. () The network plot of each comparison in terms of LVEDV. () The network plot of each comparison in terms of LVESV. () The network plot of each comparison in terms of LVEF. () The network plot of each comparison in terms of HCT. A B C D E F G H I J K L M N O
| A composite of hospitalization for HF and CV death | |||||
| Sotagliflozin | |||||
| 0.88 (0.79, 0.97) | Empagliflozin | ||||
| 0.86 (0.77, 0.96) | 0.98 (0.89, 1.08) | Dapagliflozin | |||
| 0.69 (0.64, 0.75) | 0.79 (0.75, 0.84) | 0.80 (0.75, 0.87) | Placebo | ||
| Hospitalization for HF | |||||
| Dapagliflozin | |||||
| 0.94 (0.52, 1.69) | Sotagliflozin | ||||
| 0.90 (0.37, 2.20) | 0.96 (0.37, 2.45) | Ertugliflozin | |||
| 0.60 (0.04, 10.12) | 0.64 (0.04, 10.94) | 0.67 (0.04, 12.38) | Canagliflozin | ||
| 0.75 (0.49, 1.16) | 0.80 (0.47, 1.37) | 0.84 (0.35, 1.99) | 1.26 (0.08, 21.19) | Empagliflozin | |
| 0.57 (0.39, 0.82) | 0.61 (0.38, 0.96) | 0.63 (0.28, 1.44) | 0.95 (0.06, 15.75) | 0.75 (0.58, 0.99) | Placebo |
| CV death | |||||
| Dapagliflozin | |||||
| 0.97 (0.66, 1.44) | Sotagliflozin | ||||
| 0.93 (0.73, 1.19) | 0.96 (0.66, 1.38) | Empagliflozin | |||
| 0.84 (0.68, 1.03) | 0.86 (0.61, 1.21) | 0.90 (0.78, 1.03) | Placebo | ||
| All-cause death | |||||
| Empagliflozin | |||||
| 1.00 (0.81, 1.24) | Dapagliflozin | ||||
| 0.89 (0.60, 1.31) | 0.89 (0.59, 1.33) | Sotagliflozin | |||
| 0.89 (0.79, 1.01) | 0.89 (0.75, 1.06) | 1.01 (0.70, 1.45) | Placebo | ||
| A composite of urinary and reproductive infections | |||||
| Canagliflozin | |||||
| 0.12 (0.00, 3.09) | Sotagliflozin | ||||
| 0.11 (0.00, 2.48) | 0.89 (0.39, 2.01) | Placebo | |||
| 0.08 (0.00, 2.16) | 0.65 (0.17, 2.48) | 0.73 (0.26, 2.11) | Empagliflozin | ||
| 0.05 (0.00, 1.30) | 0.43 (0.15, 1.26) | 0.49 (0.24, 0.97) | 0.66 (0.19, 2.34) | Dapagliflozin | |
| 6MWT | |||||
| Canagliflozin | |||||
| 21.07 (β60.18, 102.31) | Dapagliflozin | ||||
| 31.27 (β58.25, 120.78) | 10.20 (β32.77, 53.17) | Empagliflozin | |||
| 71.62 (β8.36, 151.60) | 50.55 (35.27, 65.84) | 40.35 (0.19, 80.52) | Placebo | ||
| NT-proBNP | |||||
| Dapagliflozin | |||||
| 171.98 (β320.51, 664.46) | Empagliflozin | ||||
| β205.67 (β602.26, 190.91) | β377.65 (β992.37, 237.07) | Canagliflozin | |||
| β365.33 (β504.83, β225.83) | β537.31 (β1,021.40, β53.22) | β159.66 (β543.13, 223.81) | Placebo | ||
| KCCQ | |||||
| Dapagliflozin | |||||
| 1.10 (β2.63, 4.84) | Empagliflozin | ||||
| 4.72 (2.52, 6.91) | 3.61 (0.61, 6.62) | Placebo | |||
| LAVi | |||||
| Dapagliflozin | |||||
| β2.74 (β6.37, 0.90) | Empagliflozin | ||||
| β2.67 (β3.44, β1.91) | 0.06 (β3.50, 3.63) | Placebo | |||
| E/eβ | |||||
| Dapagliflozin | |||||
| β0.73 (β3.52, 2.07) | Placebo | ||||
| β1.13 (β8.26, 6.00) | β0.40 (β6.96, 6.16) | Ipragliflozin | |||
| β3.80 (β8.41, 0.81) | β3.07 (β6.96, 0.81) | β2.67 (β10.30, 4.95) | Canagliflozin | ||
| LVMi | |||||
| Ipragliflozin | |||||
| β12.16 (β39.49, 15.17) | Empagliflozin | ||||
| β14.58 (β41.45, 12.28) | β2.42 (β8.51, 3.66) | Dapagliflozin | |||
| β19.10 (β45.86, 7.66) | β6.94 (β12.52, β1.36) | β4.52 (β6.96, β2.08) | Placebo | ||
| LVEDV | |||||
| Canagliflozin | |||||
| β3.81 (β25.25, 17.63) | Dapagliflozin | ||||
| β8.17 (β32.21, 15.87) | β4.36 (β21.51, 12.79) | Empagliflozin | |||
| β9.71 (β44.29, 24.87) | β5.90 (β35.87, 24.08) | β1.54 (β33.58, 30.50) | Ipragliflozin | ||
| β16.41 (β35.96, 3.14) | β12.60 (β21.83, β3.37) | β8.24 (β22.85, 6.37) | β6.70 (β35.22, 21.82) | Placebo | |
| LVESV | |||||
| Canagliflozin | |||||
| β4.34 (β19.88, 11.21) | Dapagliflozin | ||||
| β7.12 (β29.68, 15.45) | β2.78 (β21.72, 16.16) | Ipragliflozin | |||
| β8.30 (β25.59, 8.98) | β3.97 (β16.21, 8.28) | β1.19 (β21.80, 19.43) | Empagliflozin | ||
| β13.32 (β27.26, 0.63) | β8.98 (β15.64, β2.33) | β6.20 (β23.94, 11.54) | β5.02 (β15.53, 5.49) | Placebo | |
| LVEF | |||||
| Dapagliflozin | |||||
| 0.70 (β3.41, 4.82) | Empagliflozin | ||||
| 1.67 (β2.90, 6.23) | 0.96 (β4.91, 6.84) | Canagliflozin | |||
| 2.95 (β5.46, 11.35) | 2.24 (β6.95, 11.44) | 1.28 (β8.13, 10.69) | Ipragliflozin | ||
| 5.05 (3.81, 6.29) | 4.34 (0.42, 8.27) | 3.38 (β1.02, 7.78) | 2.10 (β6.22, 10.42) | Placebo | |
| HCT | |||||
| Placebo | |||||
| β0.01 (β0.02, 0.00) | Dapagliflozin | ||||
| β0.03 (β0.04, β0.02) | β0.02 (β0.03, β0.00) | Empagliflozin | |||
| Ranking | A composite of hospitalization for HF and CV death | Hospitalization for HF | CV death | All-cause death | A composite of urinary and reproductive infections | 6MWT | NT-ProBNP | KCCQ | LAVi | E/eβ | LVMi | LVEDV | LVESV | LVEF | HCT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Sotagliflozin (99%) | Dapagliflozin (74%) | Sotagliflozin (81%) | Dapagliflozin (74%) | Canagliflozin (92%) | Canagliflozin (80%) | Empagliflozin (87%) | Dapagliflozin (86%) | Dapagliflozin (96%) | Dapagliflozin (75%) | Ipragliflozin (85%) | Canagliflozin (76%) | Canagliflozin (80%) | Dapagliflozin (78%) | Placebo (95%) |
| 2 | Empagliflozin (55%) | Sotagliflozin (67%) | Dapagliflozin (77%) | Sotagliflozin (61%) | Sotagliflozin (60%) | Dapagliflozin (65%) | Dapagliflozin (70%) | Empagliflozin (63%) | Empagliflozin (27%) | Placebo (60%) | Empagliflozin (66%) | Dapagliflozin (67%) | Dapagliflozin (65%) | Empagliflozin (66%) | Dapagliflozin (53%) |
| 3 | Dapagliflozin (45%) | Ertugliflozin (59%) | Empagliflozin (35%) | Empagliflozin (55%) | Placebo (54%) | Empagliflozin (51%) | Canagliflozin (34%) | Placebo (1%) | Placebo (25%) | Ipragliflozin (52%) | Dapagliflozin (45%) | Empagliflozin (49%) | Ipragliflozin (43%) | Canagliflozin (53%) | Empagliflozin (1%) |
| 4 | Placebo (0%) | Empagliflozin (43%) | Placebo (6%) | Placebo (10%) | Empagliflozin (34%) | Placebo (2%) | Placebo (8%) | Canagliflozin (11%) | Placebo (3%) | Ipragliflozin (44%) | Empagliflozin (48%) | Ipragliflozin (41%) | |||
| 5 | Canagliflozin (41%) | Dapagliflozin (10%) | Placebo (12%) | Placebo (11%) | Placebo (10%) | ||||||||||
| 6 | Placebo (13%) |
Hospitalization for HF
As shown in Table 2, empagliflozin [RR = 0.75, CI (0.58β0.99)], sotagliflozin (RR = 0.61, CI 0.38β0.96), and dapagliflozin [RR = 0.57, CI (0.39β0.82)] significantly reduced hospitalization for HF compared to placebo. However, no significant differences were observed between ertugliflozin and canagliflozin or among the different SGLT2i treatments. The network plot is shown in Figure 3B. The ranking based on SUCRA values is as follows: dapagliflozin (74%), sotagliflozin (67%), erugliflozin (59%), empagliflozin (43%), canagliflozin (41%), and placebo (13%).
CV death and all-cause death
A composite of urinary and reproductive infections
As shown in Table 2, dapagliflozin [RR = 0.49, CI (0.24β0.97)] significantly reduced urinary and reproductive system infections compared to placebo. However, canagliflozin, sotagliflozin, and empagliflozin did not exhibit a significant difference in reducing these infections. There was no difference observed among the different SGLT2i treatments. These findings are visually represented in the network plot shown in Figure 3E. The ranking based on SUCRA value is as follows: canagliflozin (92%), sotagliflozin (60%), placebo (54%), empagliflozin (34%), and dapagliflozin (10%).
6MWT
Table 2 shows that dapagliflozin [RR = 50.55, CI (35.27β65.84)] and empagliflozin [RR = 40.35, CI (0.19β80.52)] significantly improved walking distance compared to placebo, whereas canagliflozin [RR = 71.62, CI (β8.36β151.60)] showed no difference. There was no difference observed among the different SGLT2i treatments. These comparisons are graphically illustrated in the network plot shown in Figure 3F. The ranking based on SUCRA values is as follows: canagliflozin (80%), dapagliflozin (65%), empagliflozin (51%), and placebo (2%).
NT-proBNP
As presented in Table 2, empagliflozin [MD = β537.81, CI (β1,021.40 to β53.22)] and dapagliflozin [MD = β365.33, CI (β504.83 to β225.83)] showed significant differences in improving NT-proBNP in patients with HF compared to placebo. However, canagliflozin [MD = β159.66, CI (β543.13β223.81)] showed no significant impact on proBNP levels. There was no difference observed among the different SGLT2i treatments. These results are illustrated in the network plot shown in Figure 3G. The ranking based on SUCRA values is as follows: empagliflozin (87%), dapagliflozin (70%), canagliflozin (34%), and placebo (8%).
KCCQ
As detailed in Table 2, compared to placebo, there was no significant difference in the improvement of KCCQ scores in patients with HF between dapagliflozin [MD = 4.72, CI (2.52β6.91)] and empagliflozin [MD = 3. 6, CI (0.61β6.62)]. No significant differences were observed among the different SGLT2i treatments. These findings are visually represented in the network plot shown in Figure 3H. The ranking based on SUCRA values is as follows: dapagliflozin 86%), empagliflozin (63%), and placebo (1%).
LAVi
As shown in Table 2, compared with placebo, dapagliflozin [MD = β2.67, CI (β3.44 to β1.91)] showed significant statistical differences in improving LAVi, while empagliflozin [MD = 0.06, CI (β3.05β3.63)] showed no significant change. These findings are depicted in the network plot shown in Figure 3I. The ranking based on SUCRA values is as follows: dapagliflozin (96%), empagliflozin (27%), and placebo (25%).
E/e'
As shown in Table 2, compared with placebo, dapagliflozin [MD = β0.73, CI (β3.52β2.07)], ipragliflozin [MD = β0.40, CI (β6.96β6.16)], and canagliflozin [MD = β3.07, CI (β6.96β0.81)] showed no difference in improving E/e', and there were no significant variations observed among the different SGLT2i treatments. The network plot is presented in Figure 3J. The ranking based on SUCRA values is as follows: dapagliflozin (75%), placebo (60%), ipragliflozin (52%), and canagliflozin (11%).
LVMi
The results presented in Table 2 indicated that empagliflozin [MD = β6.94, CI (β12.52 to β1.36)] and dapagliflozin [MD = β4.52, CI (β6.96 to β2.08)] significantly reduced LVMi compared to placebo. There was no significant difference observed among the different SGLT2i treatments. The network plot is shown in Figure 3K. The ranking based on SUCRA values is as follows: ipragliflozin (85%), empagliflozin (66%), dapagliflozin (45%), and placebo (3%).
LVEDV
Table 2 demonstrates that dapagliflozin [MD = β12.60, CI (β21.83 to β3.37)] reduced LVEDV in patients with HF compared to placebo, while ipragliflozin, empagliflozin, and canagliflozin did not show a significant impact in this aspect. No differences were observed among the different SGLT2i treatments. The network plot illustrating these findings is presented in Figure 3L. The ranking based on SUCRA values is as follows: canagliflozin (76%), empagliflozin (67%), ipragliflozin (49%), dapagliflozin (44%), and placebo (12%).
LVESV
Table 2 demonstrates that dapagliflozin [MD = β8.98, CI (β15.64 to β2.33)] reduced LVESV in patients with HF compared to placebo. In contrast, ipragliflozin, canagliflozin, and empagliflozin did not exhibit statistically significant differences in this aspect, indicating no significant variance among the different SGLT2i treatments. The network plot illustrating these relationships is presented in Figure 3M. The ranking based on SUCRA values is as follows: canagliflozin (80%), dapagliflozin (65%), ipragliflozin (43%), empagliflozin (48%), and placebo (11%).
LVEF
As indicated in Table 2, dapagliflozin [MD = 5.05, CI (3.81β6.29)] significantly increased LVEF in patients with HF compared to placebo, whereas canagliflozin, empagliflozin, and ipragliflozin showed no significant differences. No differences were observed among the different SGLT2i treatments. These findings are visually represented in the network plot shown in Figure 3N. The ranking based on SUCRA values is as follows: dapagliflozin (78%), empagliflozin (66%), canagliflozin (53%), ipragliflozin (41%), and placebo (10%).
HCT
Table 2 illustrates that empagliflozin [MD = β0.03, CI (β0.04 to β0.02)] significantly increased hematocrit (HCT) in patients with HF compared to placebo. Dapagliflozin did not show any significant difference, and there was no disparity observed among the different SGLT2i treatments. The network plot illustrating these findings is presented in Figure 3O. The ranking based on SUCRA values is as follows: placebo (95%), dapagliflozin (53%), and empagliflozin (1%).
The results of the subgroup analysis
The efficacy of SGLT2i in HFrEF patients
The network plot in Figure 4 illustrates that dapagliflozin [RR = 0.44, CI (0.15β1.23)], empagliflozin [RR = 0.75, CI (0.11β5.15)], and sotagliflozin [RR = 0.42, CI (0.05β3.66)] did not significantly reduce the composite of hospitalization for HF and CV death compared to placebo, and there was no difference between the different SGLT2i, as shown in Table 4. The ranking based on SUCRA values is presented in Table 5. Compared with placebo, dapagliflozin significantly improved hospitalization for HF [RR = 0.51, CI (0.33β0.80)] and CV death [RR = 0.73, CI (0.54β0.97)], with no significant differences noted between the different SGLT2i treatments. These findings are outlined in Table 4, and the associated SUCRA rankings are presented in Table 5. Compared to placebo, dapagliflozin reduced all-cause death [RR = 0.69, CI (0.48β0.99)], and dapagliflozin [RR = 0.40, CI (0.18β0.93)] increased a composite of urinary and reproductive infections, with no differences observed between the different SGLT2i treatments. The SUCRA values for these comparisons are also presented in Table 5.
Compared to placebo, dapagliflozin improved the 6MWT of HFrEF patients [MD = 41.61, CI (27.23β56.00)] and proBNP levels [MD = β402.49, CI (β575.29 to β299.68)], and empagliflozin improved the 6MWT of HF patients [MD = 40.00, CI (2.99β77.01)] and proBNP levels [MD = β547.13, CI (β1,065.35 to β28.91)]. No significant differences were observed between different SGLT2i. The ranking based on SUCRA values is shown in Table 5. Compared to placebo, SGLT2i did not improve E/e' in cardiac structure. Compared to placebo, dapagliflozin significantly reduced LVMi [MD = β3.79, CI (β4.33 to β3.27)] and increased LVEF [MD = 5.64, CI (4.27 to 7.01)] LVEDV [MD = β19.14, CI (β38.14 to β0.13)], LVESV [MD = β14.78, CI (β27.79 to β1.78)], and KCCQ score [MD = 4.86, CI (1.90β7.83)]. Compared to placebo, canagliflozin reduced LVESV [MD = β13.85, CI (β27.33 to β0.36] in patients with HFrEF. Compared to placebo, empagliflozin reduced LVMi [MD = β6.89, CI (β11.18 to β2.59)] and KCCQ score [MD = 3.60, CI (0.15β7.04)]. The ranking based on SUCRA values is shown in Table 5.
A network plot of each comparison in all eligible trials in HFrEF. () The network plot of each comparison in terms of a composite of hospitalization for HF and CV death. () The network plot of each comparison in terms of hospitalization for HF. () The network plot of each comparison in terms of CV death. () The network plot of each comparison in terms of all-cause death. () The network plot of each comparison in terms of a composite of urinary and reproductive infections. () The network plot of each comparison in terms of 6 min walk distance. () The network plot of each comparison in terms of NT-proBNP. () The network plot of each comparison in terms of KCCQ. () The network plot of each comparison in terms of LAVi. () The network plot of each comparison in terms of E/eβ. () The network plot of each comparison in terms of LVMi. () The network plot of each comparison in terms of LVEDV. () The network plot of each comparison in terms of LVESV. () The network plot of each comparison in terms of LVEF. A B C D E F G H I J K L M N
| Hospitalization for HF | ||||
| Dapagliflozin | ||||
| 0.85 (0.41, 1.77) | Sotagliflozin | |||
| 0.81 (0.31, 2.12) | 0.95 (0.34, 2.69) | Ertugliflozin | ||
| 0.62 (0.37, 1.05) | 0.73 (0.38, 1.44) | 0.77 (0.31, 1.92) | Empagliflozin | |
| 0.51 (0.33, 0.80) | 0.60 (0.34, 1.08) | 0.63 (0.27, 1.49) | 0.82 (0.59, 1.14) | Placebo |
| A composite of urinary and reproductive infections | ||||
| Canagliflozin | ||||
| 0.14 (0.00, 4.05) | Sotagliflozin | |||
| 0.11 (0.00, 2.61) | 0.77 (0.26, 2.28) | Placebo | ||
| 0.08 (0.00, 2.34) | 0.57 (0.12, 2.74) | 0.74 (0.23, 2.31) | Empagliflozin | |
| 0.04 (0.00, 1.18) | 0.31 (0.08, 1.23) | 0.40 (0.18, 0.93) | 0.55 (0.13, 2.27) | Dapagliflozin |
| A composite of hospitalization for HF and CV death | ||||
| Sotagliflozin | ||||
| 0.57 (0.22, 1.48) | Placebo | |||
| 0.42 (0.05, 3.66) | 0.75 (0.11, 5.15) | Empagliflozin | ||
| 0.25 (0.06, 1.01) | 0.44 (0.15, 1.23) | 0.58 (0.07, 5.17) | Dapagliflozin | |
| CV death | ||||
| Dapagliflozin | ||||
| 0.94 (0.53, 1.67) | Sotagliflozin | |||
| 0.77 (0.55, 1.07) | 0.81 (0.48, 1.37) | Empagliflozin | ||
| 0.73 (0.54, 0.97) | 0.77 (0.47, 1.27) | 0.95 (0.81, 1.11) | Placebo | |
| All-cause death | ||||
| Dapagliflozin | ||||
| 0.89 (0.51, 1.57) | Sotagliflozin | |||
| 0.78 (0.51, 1.19) | 0.87 (0.52, 1.45) | Empagliflozin | ||
| 0.69 (0.48, 0.99) | 0.77 (0.48, 1.23) | 0.88 (0.73, 1.08) | Placebo | |
| 6MWT | ||||
| Canagliflozin | ||||
| 27.63 (β46.83, 102.09) | Dapagliflozin | |||
| 29.24 (β52.88, 111.36) | 1.61 (β38.08, 41.30) | Empagliflozin | ||
| 69.24 (β4.02, 142.51) | 41.61 (27.23, 56.00) | 40.00 (2.99, 77.01) | Placebo | |
| NT-proBNP | ||||
| Empagliflozin | ||||
| β144.64 (β675.00, 385.71) | Dapagliflozin | |||
| β376.49 (β1,113.11, 360.12) | β231.85 (β776.49, 312.79) | Canagliflozin | ||
| β547.13 (β1,065.35, β28.91) | β402.49 (β575.29, β229.68) | β170.64 (β699.36, 358.08) | Placebo | |
| LVEF | ||||
| Dapagliflozin | ||||
| 1.79 (β2.35, 5.92) | Empagliflozin | |||
| 1.35 (β4.04, 6.74) | β0.44 (β6.92, 6.04) | Canagliflozin | ||
| 5.64 (4.27, 7.01) | 3.85 (β0.05, 7.76) | 4.29 (β0.93, 9.51) | Placebo | |
| KCQQ | ||||
| Dapagliflozin | ||||
| 1.27 (β3.28, 5.82) | Empagliflozin | |||
| 4.86 (1.90, 7.83) | 3.60 (0.15, 7.04) | Placebo | ||
| E/eβ | ||||
| Dapagliflozin | ||||
| β0.28 (β7.87, 7.31) | Placebo | |||
| β4.60 (β13.93, 4.74) | β4.32 (β11.37, 2.73) | Canagliflozin | ||
| LVMi | ||||
| Empagliflozin | ||||
| β3.09 (β7.42, 1.23) | Dapagliflozin | |||
| β6.89 (β11.18, β2.59) | β3.79 (β4.32, β3.27) | Placebo | ||
| LVEDV | ||||
| Dapagliflozin | ||||
| β1.65 (β29.15, 25.86) | Canagliflozin | |||
| β10.92 (β34.09, 12.25) | β9.27 (β33.65, 15.10) | Empagliflozin | ||
| β19.14 (β38.14, β0.13) | β17.49 (β37.30, 2.32) | β8.22 (β22.73, 6.29) | Placebo | |
| LVESV | ||||
| Dapagliflozin | ||||
| β0.94 (β20.48, 18.60) | Canagliflozin | |||
| β9.95 (β25.37, 5.47) | β9.01 (β26.23, 8.20) | Empagliflozin | ||
| β14.78 (β27.79, β1.78) | β13.85 (β27.33, β0.36) | β4.84 (β15.19, 5.52) | Placebo | |
| Ranking | A composite of hospitalization for HF and CV death | Hospitalization for HF | CV death | All-cause death | A composite of urinary and reproductive infections | 6MWT | NT-proBNP | LAVi | KCCQ | E/eβ | LVMi | LVEDV | LVESV | LVEF |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Sotagliflozin (97%) | Dapagliflozin (82%) | Dapagliflozin (75%) | Dapagliflozin (83%) | Sotagliflozin (87%) | Canagliflozin (82%) | Empagliflozin (84%) | Empagliflozin (77%) | Dapagliflozin (85%) | Dapagliflozin (68%) | Empagliflozin (96%) | Dapagliflozin (78%) | Dapagliflozin (80%) | Dapagliflozin (82%) |
| 2 | Empagliflozin (51%) | Sotagliflozin (65%) | Empagliflozin (50%) | Empagliflozin (63%) | Placebo (57%) | Dapagliflozin (59%) | Dapagliflozin (69%) | Dapagliflozin (71%) | Empagliflozin (63%) | Placebo (67%) | Dapagliflozin (53%) | Canagliflozin (72%) | Canagliflozin (76%) | Canagliflozin (61%) |
| 3 | Dapagliflozin (47%) | Ertugliflozin (59%) | Sotagliflozin (49%) | Sotagliflozin (44%) | Empagliflozin (42%) | Empagliflozin (57%) | Canagliflozin (36%) | Canagliflozin (41%) | Placebo (2%) | Canagliflozin (13%) | Placebo (1%) | Empagliflozin (42%) | Empagliflozin (36%) | Empagliflozin (54%) |
| 4 | Placebo (0%) | Empagliflozin (34%) | Placebo (24%) | Placebo (9%) | Dapagliflozin (13%) | Placebo (2%) | Placebo (9%) | Placebo (9%) | Placebo (7%) | Placebo (7%) | Placebo (3%) | |||
| 5 | Placebo (8%) |
The efficacy of SGLT2i in HFpEF patients
The network plot presented in Figure 5 indicates that compared to placebo, sotagliflozin, dapagliflozin, and empagliflozin did not significantly reduce a composite of hospitalization for HF and CV death, individual hospitalizations for HF and CV death, or all-cause mortality, as detailed in Table 6. No significant differences were observed between the different SGLT2i treatments in these outcomes. The ranking based on SUCRA values is shown in Table 7.
In terms of safety for patients with HFpEF, empagliflozin [RRβ=β0.73, CI (0.61β0.87)] and sotagliflozin [RRβ=β0.36, CI (0.15β0.84)] increased the risk of urinary and reproductive tract infections compared to placebo, while canagliflozin [RRβ=β0.09, CI (0.01β0.86)] presented a lower risk than sotagliflozin. The ranking based on SUCRA values for safety is as follows: canagliflozin (96%), placebo (75%), empagliflozin (44%), dapagliflozin (26%), and sotagliflozin (8%).
Compared to placebo, dapagliflozin [MD = β272.79, CI (β469.26 to β76.32)] showed significant differences in reducing NT-proBNP levels, while canagliflozin showed no difference. There were no significant differences among the different SGLT2i treatments. The ranking based on SUCRA values is as follows: dapagliflozin (87%), canagliflozin (48%), and placebo (14%). In addition, compared to placebo, dapagliflozin improved E/e' [MD = β1.46, CI (β2.19 to β0.74)], LVMi [MD = β4.33, CI (β7.80 to β0.86)], and LVEF [MD = 2.79, CI (0.37β5.20)] in terms of adverse cardiac remodeling. No differences were noted for canagliflozin and ipragliflozin or among different SGLT2i. There was no statistical difference in improving LVESV and LVEDV compared to placebo and among the different SGLT2i treatments. The ranking based on SUCRA values is detailed in Table 7.
A network plot of each comparison in all eligible trials in HFpEF. () The network plot of each comparison in terms of a composite of hospitalization for HF and CV death. () The network plot of each comparison in terms of hospitalization for HF. () The network plot of each comparison in terms of CV death. () The network plot of each comparison in terms of all-cause death. () The network plot of each comparison in terms of a composite of urinary and reproductive infections. () The network plot of each comparison in terms of NT-proBNP. () The network plot of each comparison in terms of E/eβ () The network plot of each comparison in terms of LVMi. () The network plot of each comparison in terms of LVEDV. () The network plot of each comparison in terms of LVESV. () The network plot of each comparison in terms of LVEF. A B C D E F G H I J K
| Hospitalization for HF | ||||
| Empagliflozin | ||||
| 0.81 (0.35, 1.86) | Dapagliflozin | |||
| 0.79 (0.29, 2.14) | 0.98 (0.32, 2.96) | Sotagliflozin | ||
| 0.60 (0.03, 10.72) | 0.75 (0.04, 13.84) | 0.77 (0.04, 14.44) | Canagliflozin | |
| 0.57 (0.32, 1.02) | 0.71 (0.34, 1.51) | 0.73 (0.32, 1.66) | 0.95 (0.06, 15.95) | Placebo |
| A composite of hospitalization for HF and CV death | ||||
| Sotagliflozin | ||||
| 0.94 (0.28, 3.13) | Dapagliflozin | |||
| 0.69 (0.23, 2.12) | 0.74 (0.27, 2.01) | Empagliflozin | ||
| 0.51 (0.21, 1.26) | 0.55 (0.25, 1.22) | 0.74 (0.38, 1.42) | Placebo | |
| CV death | ||||
| Dapagliflozin | ||||
| 0.87 (0.23, 3.25) | Sotagliflozin | |||
| 0.82 (0.28, 2.43) | 0.95 (0.26, 3.40) | Empagliflozin | ||
| 0.61 (0.26, 1.42) | 0.70 (0.25, 1.91) | 0.74 (0.34, 1.61) | Placebo | |
| All-cause death | ||||
| Empagliflozin | ||||
| 0.97 (0.79, 1.19) | Dapagliflozin | |||
| 0.90 (0.53, 1.53) | 0.93 (0.55, 1.58) | Sotagliflozin | ||
| 0.91 (0.78, 1.06) | 0.94 (0.82, 1.08) | 1.01 (0.61, 1.69) | Placebo | |
| A composite of urinary and reproductive infections | ||||
| Canagliflozin | ||||
| 0.24 (0.03, 2.04) | Placebo | |||
| 0.17 (0.02, 1.50) | 0.73 (0.61, 0.87) | Empagliflozin | ||
| 0.12 (0.01, 1.20) | 0.52 (0.25, 1.08) | 0.72 (0.34, 1.52) | Dapagliflozin | |
| 0.09 (0.01, 0.86) | 0.36 (0.15, 0.84) | 0.49 (0.21, 1.18) | 0.69 (0.22, 2.12) | Sotagliflozin |
| E/eβ | ||||
| Dapagliflozin | ||||
| β1.36 (β4.33, 1.60) | Canagliflozin | |||
| β1.46 (β2.19, β0.74) | β0.10 (β2.98, 2.78) | Placebo | ||
| β1.86 (β4.16, 0.43) | β0.50 (β4.11, 3.10) | β0.40 (β2.57, 1.77) | Ipragliflozin | |
| LVEF | ||||
| Dapagliflozin | ||||
| 0.69 (β7.36, 8.73) | Ipragliflozin | |||
| 1.59 (β6.27, 9.44) | 0.90 (β9.81, 11.61) | Canagliflozin | ||
| 2.79 (0.37, 5.20) | 2.10 (β5.58, 9.78) | 1.20 (β6.27, 8.68) | Placebo | |
| NT-proBNP | ||||
| Dapagliflozin | ||||
| β144.86 (β646.35, 356.64) | Canagliflozin | |||
| β272.79 (β469.26, β76.32) | β127.93 (β608.67, 352.80) | Placebo | ||
| LVMi | ||||
| Ipragliflozin | ||||
| β14.77 (β42.20, 12.67) | Dapagliflozin | |||
| β19.10 (β46.31, 8.11) | β4.33 (β7.80, β0.86) | Placebo | ||
| LVESV | ||||
| Dapagliflozin | ||||
| β0.32 (β21.43, 20.79) | Ipragliflozin | |||
| β6.52 (β15.12, 2.07) | β6.20 (β25.48, 13.08) | Placebo | ||
| LVEDV | ||||
| Ipragliflozin | ||||
| 3.54 (β29.68, 36.76) | Dapagliflozin | |||
| β6.70 (β37.71, 24.31) | β10.24 (β22.16, 1.68) | Placebo | ||
| Ranking | A composite of hospitalization for HF and CV death | Hospitalization for HF | CV death | All-cause death | A composite of urinary and reproductive infections | NT-ProBNP | E/eβ | LVMi | LVEDV | LVESV | LVEF |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Sotagliflozin (73%) | Empagliflozin (74%) | Dapagliflozin (70%) | Empagliflozin (71%) | Canagliflozin (96%) | Dapagliflozin (87%) | Dapagliflozin (99%) | Ipragliflozin (87%) | Dapagliflozin (77%) | Dapagliflozin (71%) | Dapagliflozin (77%) |
| 2 | Dapagliflozin (70%) | Dapagliflozin (55%) | Sotagliflozin (57%) | Dapagliflozin (59%) | Placebo (75%) | Canagliflozin (48%) | Canagliflozin (37%) | Dapagliflozin (55%) | Ipragliflozin (54%) | Ipragliflozin (61%) | ipragliflozin (53%) |
| 3 | Empagliflozin (44%) | Sotagliflozin (53%) | Empagliflozin (53%) | Sotagliflozin (41%) | Empagliflozin (44%) | Placebo (14%) | Placebo (36%) | Placebo (5%) | Placebo (19%) | Placebo (16%) | Canagliflozin (43%) |
| 4 | Placebo (11%) | Canagliflozin (43%) | Placebo (19%) | Placebo (27%) | Dapagliflozin (26%) | Ipragliflozin (26%) | Placebo (24%) | ||||
| 5 | Placebo (23%) | Sotagliflozin (8%) |
Consistency and small sample study effect
Comparison-corrected funnel plots were utilized to assess publication bias in the study, focusing on a range of outcome indicators such as a composite of hospitalization for HF and CV death, hospitalization for HF, CV death, all-cause death, urinary and reproductive infections, 6MWT, NT-ProBNP, KCCQ, LAVi, E/e', LVMi, LVEDV, LVESV, LVEF, and HCT. The network funnel plot revealed the presence of small sample effects in the comparison between dapagliflozin and placebo for a composite of hospitalization for HF and CV death (Figure 6A), a composite of urinary and reproductive infections (Figure 6E), CV death (Figure 6C), 6MWT and NT-ProBNP (Figures 6F,G), LVMi (Figure 6K), LVESV (Figure 6M), and LVEDV (Figure 6L). The comparison between canagliflozin and placebo showed a small sample effect in hospitalization for HF (Figure 6B), while the comparison between empagliflozin and placebo indicated small sample effects in CV death (Figure 6C), LVESV (Figure 6M), LVEF (Figure 6N), and all-cause death (Figure 6D).
Funnel plot of pairwise comparison among each SGLT2i treatment. () The funnel plot of a composite of hospitalization for HF and CV death. () The funnel plot of hospitalization for HF. () The funnel plot of CV death. () The funnel plot of all-cause death. () The funnel plot of a composite of urinary and reproductive infections. () The funnel plot of 6 min walk distance. () The funnel plot of NT-proBNP. () The funnel plot of KCCQ. () The funnel plot of LAVi. () The funnel plot of E/eβ. () The funnel plot of LVMi. () The funnel plot of LVEDV. () The funnel plot of LVESV. () The funnel plot of LVEF. () The funnel plot of HCT. A B C D E F G H I J K L M N O
Discussion
This review analyzed 77 RCT involving 43,561 patients using Bayesian network meta-analysis for a comprehensive evaluation. The study encompassed more than 10 outcome indicators, including a composite of hospitalization for HF and CV death, hospitalization for HF and CV death, a composite of urinary and reproductive effects, and an assessment of the cardiac structure. Subgroup analysis was performed based on the ejection fraction of HF. Although the efficacy of SGLT2i varies slightly with different LVEF baselines of patients, it may be beneficial in patients with HF regardless of LVEF baseline. Compared with the placebo, SGLT2i demonstrated a significant advantage in reducing a composite of hospitalization for HF and CV death, hospitalization for HF and CV death, and KCQQ scores while showing no significant impact on reducing all-cause mortality. Indirect comparisons between different SGLT2i suggest improvements in a composite of hospitalization for HF and CV death, hospitalization for HF, and CV death. Sotagliflozin outperformed empagliflozin and dapagliflozin in reducing hospitalization for HF and CV death. However, there is no difference between empagliflozin and dapagliflozin. Nevertheless, given the limited research on sotagliflozin, further investigation is warranted.
Regarding the safety profile in total HF patients, SGLT2i are associated with an increased risk of urinary and reproductive system infections, with dapagliflozin showing the highest risk among them. However, there is no distinction between various types of SGLT2i. A previous meta-analysis (83) showed that, except for dapagliflozin, SGLT2i did not increase incidences of urinary and reproductive system infections, which is consistent with our findings. Moreover, the US Food and Drug Administration has included this potential side effect in its list of adverse reactions. HCT was utilized as a reference indicator to assess low blood volume. The meta-analysis demonstrated that SGLT2i resulted in a rise in HCT relative to placebo, implying an elevated hypotension hazard for SGLT2i. The primary mechanism of action of SGLT2i involves the inhibition of the SGLT2 transporter, predominantly located in the S1 segment of the proximal tubules (84), increasing the excretion of glucose in the urine. Nevertheless, inhibiting SGLT2i also diminishes sodium reabsorption in the proximal tubules, potentially increasing sodium excretion. Previous studies (85, 86) reported a correlation between the administration of SGLT2i and a reduction of body weight and blood pressure.
The network meta-analysis results indicated that dapagliflozin and empagliflozin significantly improved NT-proBNP and 6MWT. However, no statistically significant difference was observed among different SGLT2i. While SGLT2i have shown promise in treating HF, it is crucial to determine whether they directly influence the heart's structural function. Therefore, we collected relevant indicators, such as LAVi, E/e', LVMi, and LVEDV, to systematically evaluate the changes in cardiac structure in HF patients treated with SGLT2i. The results showed that SGLT2i significantly reduced LVMi, LVEDV, LAVi, and LVESV and increased LVEF, reflecting significant benefits in improving cardiac systolic and diastolic function. Cardiac anatomy and functional parameters are vital in predicting the prognosis and quality of life in HF patients. Animal studies conducted on T2DM models revealed the positive effects of SGLT2i on left ventricular hypertrophy and dilation (87, 88), as well as cardiac systolic and diastolic function. LAVi and E/e' are predictive factors (89) used to evaluate cardiac diastolic function. Our research revealed that SGLT2i did not reduce E/e' in HFrEF patients. Nonetheless, subgroup analysis indicated SGLT2i could enhance the E/e' and LAVi of patients with HFpEF, potentially due to differing mechanisms between HFpEF and HFrEF.
According to the grading of HFpEF by the European and American Heart Association, this study conducted subgroup analysis based on ejection fraction. The HFpEF (EF β₯ 50%) group did not show significant differences in reducing a composite of hospitalization for HF and CV death, hospitalization for HF, CV death, and all-cause death. No significant differences were observed between different SGLT2i. However, some meta-analyses have shown that (90β92) SGLT2i can reduce a composite of HF and CV death hospitalizations. However, the previous study defined HFpEF as EF greater than 40%, which differs from our study. Therefore, our study should be more convincing. Regarding the safety of HFpEF patients, SGLT2i also present risks of urinary and reproductive infections, with empagliflozin and sotagliflozin being notable culprits. Canagliflozin has demonstrated higher safety compared to sotagliflozin in this aspect. In terms of improving ventricular remodeling, compared to placebo, SGLT2i have shown improvement in LAVi, E/e', LVEF, and LVMi. However, no significant differences were observed in LVESV and LVEDV, and there was no difference between different SGLT2i. The mechanism of HFpEF remains unclear, and left ventricular diastolic dysfunction is considered the main pathophysiological mechanism underlying the occurrence of HFpEF (93). Our research also confirmed that SGLT2i can improve the diastolic function of HFpEF patients. Typically, remodeling the structure of the patient's heart can significantly enhance their prognosis and quality of life. Unfortunately, there has been limited research on the quality of life scores of HFpEF patients; thus, this outcome measure was not included in our analysis.
In the subgroup analysis of HFrEF (EF <50%), the network meta-analysis results revealed significant effects of SGLT2i in reducing hospitalization for HF, CV death, all-cause death, NT-ProBNP, and 6MWT. Interestingly, this finding contrasts with the statistical results obtained before conducting the subgroup analysis, indicating the importance of evaluating the contribution of SGLT2i to HF based on ejection fraction. Furthermore, SGLT2i showed significant advantages in improving all-cause death. The indirect comparison revealed no statistical difference between different SGLT2i. Regarding the safety of HFrEF, dapagliflozin significantly increased the risk of a composite of urinary and reproductive infections compared to placebo. Additionally, our analysis revealed that SGLT2i could enhance KCCQ scores in HFrEF patients. Regarding ventricular remodeling, our study revealed that SGLT2i reduced LVMi, LVESV, and LVEDV and increased LVEF. These findings suggest that SGLT2i can enhance diastolic and systolic function in patients with HFrEF, thereby potentially augmenting the prognostic outcomes for these patients. The therapeutic effect of SGLT2i on cardiac structural remodeling was found to be significantly better in HFrEF patients compared to HFpEF patients, with SGLT2i demonstrating superiority in improving cardiac diastolic function in HFpEF patients. Consistent with our findings, a previous meta-analysis (94) showed that empagliflozin had a more significant effect in improving cardiac structure.
This study presents several limitations. β This study mainly focuses on empagliflozin and dapagliflozin, with relatively little research available on canagliflozin, sotagliflozin, ipragliflozin, and ertugliflozin. Future research should explore these alternative SGLT2i to provide a more comprehensive understanding of their efficacy and safety profiles. β‘ Currently, there is only one direct comparison between dapagliflozin and empagliflozin available in current literature, leading to an indirect evaluation of the efficacy and safety of canagliflozin, sotagliflozin, ipragliflozin, and ertugliflozin in treating HF patients. Consequently, a potential bias exists between the reported results and the actual drug performances, underscoring the need for further direct-controlled trials to validate their efficacy and safety profiles. β’ There are variations in baseline characteristics such as gender, age, race, and chronic medical conditions among the included studies, potentially resulting in clinical heterogeneity. β£ Variations in follow-up durations between the six SGLT2i drug studies and within individual studies for each drug could introduce bias into the study results. β€ The limited number of studies on HF with HFpEF (EF β₯ 50%) underscores the necessity for more research to substantiate the relevant findings.
Conclusion
In summary, SGLT2i can significantly improve the prognosis of all patients with HF despite the associated increased risk of urinary and reproductive infections. Overall, HF patients benefit from enhanced cardiac remodeling, with those with HFrEF experiencing the most substantial benefits. Indirect comparisons between different SGLT2i revealed no significant differences in HFrEF. Among the six types of SGLT2i, sotagliflozin demonstrated superiority over empagliflozin and dapagliflozin in reducing hospitalization for HF and cardiovascular death in total HF. Canagliflozin exhibited higher safety than sotagliflozin regarding urinary and reproductive infections in patients with HFpEF. Overall, SGLT2i showed better efficacy in patients with HFrEF than those with HFpEF.
Funding Statement
The author(s) declare financial support was received for the research, authorship, and/or publication of this article.
Funded by Military Logistical Special Project for Health Care (23KYBJ06).
Data availability statement
The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.
Author contributions
XL: Formal Analysis, Methodology, Software, Writing β original draft, Writing β review & editing. HZ: Methodology, Project administration, Writing β review & editing. YC: Conceptualization, Formal Analysis, Investigation, Methodology, Supervision, Writing β review & editing. YH: Investigation, Resources, Software, Writing β original draft. XF: Data curation, Investigation, Methodology, Writing β original draft. KZ: Investigation, Methodology, Writing β review & editing. MW: Resources, Validation, Writing β original draft.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher's note
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Supplementary material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fcvm.2024.1379765/full#supplementary-materialβ
References
Associated Data
Supplementary Materials
Data Availability Statement
The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.