Saxagliptin 5mg / Dapagliflozin 10mg tablets
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View full Drug TariffSource: NHS Drug Tariff via NHSBSA. Derived from dm+d VMPP (Virtual Medicinal Product Pack) pricing data. Contains public sector information licensed under the Open Government Licence v3.0.
Therapeutically similar medicines
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SNOMED CT and dm+d codes from NHS TRUD (Technology Reference data Update Distribution), licensed under the Open Government Licence v3.0. BNF code shown is the factual mapping value distributed by NHS Business Services Authority (NHSBSA) in the dm+d supplementary file under OGL v3.0; it is not affiliated with, nor licensed from, the publishers of the British National Formulary. ATC codes from the WHO Collaborating Centre for Drug Statistics Methodology (whocc.no).
Active and completed clinical studies from ClinicalTrials.gov
Source: ClinicalTrials.gov, a database of the U.S. National Library of Medicine (NLM), National Institutes of Health (NIH). Data accessed via ClinicalTrials.gov API v2. Trial information is provided for research purposes and does not constitute medical advice.
Academic studies and reviews for this medicine's active substance
Showing all 22 studies.
Reviews & meta-analyses: 7 · Randomised trials: 4 · 2014–2026
Showing all 22 studies, sorted by most relevant.
Julio Rosenstock, Lars Hansen, Pamela Zee, et al.
Diabetes Care, 2014
- Adamantane
- Benzhydryl Compounds
- Blood Glucose
Zhu X, Wang X, Zhang P, et al.
2026
- Diabetes Mellitus, Type 2
- Hypoglycemic Agents
- Renal Insufficiency, Chronic
Background: A number of novel antidiabetic drugs have been developed. These drugs include sodium-glucose cotransporter 2 inhibitors (SGLT-2is), glucagon-like peptide-1 receptor agonists (GLP-1RAs), and dipeptidyl peptidase-4 inhibitors (DPP-4is). However, the optimal medication for individuals with type 2 diabetes mellitus (T2DM) and comorbid chronic kidney disease (CKD) has not been established. To this end, this study was conducted to compare specific novel antidiabetic drugs regarding efficacy and safety. Methods: PubMed, Embase, Cochrane Library, and Web of Science databases were searched for publications dated as of July 9, 2025. Cochrane risk of bias tool version 2.0 (RoB 2.0) was applied to measure the quality of the publications, and R 4.2.2 and Stata 15.1 were used to execute a Bayesian network meta-analysis (NMA). Primary outcomes encompassed major adverse cardiovascular events (MACEs), composite renal outcomes, and all-cause mortality (ACM). Secondary outcomes comprised adverse events (AEs), hypoglycemia, and cardiovascular death. Results: This NMA incorporated 30 studies, involving 39,844 participants with T2DM and comorbid CKD. The interventions were ranked by performance in various outcomes using the surface under the cumulative ranking curve (SUCRA) values. Sotagliflozin ranked first in reducing MACEs (SUCRA: 90.57%). Empagliflozin ranked first in improving composite renal outcomes (SUCRA: 89.76%) and reducing ACM (SUCRA: 72.38%). Canagliflozin ranked first in reducing AEs (SUCRA: 83.37%). Dapagliflozin + exenatide ranked first in reducing hypoglycemic events (SUCRA: 77.74%). Semaglutide ranked first in reducing cardiovascular mortality (SUCRA: 89.46%). Conclusion: Novel antidiabetic drugs offer benefits for patients with T2DM and comorbid CKD. However, the optimal intervention varies for different outcomes. Further clinical studies are anticipated to validate these findings. Systematic Review Registration: https://www.crd.york.ac.uk/prospero/, identifier CRD420251146144.
Abstract licence: CC BY
Nam Hoon Kim, J. Moon, Yong‐ho Lee, et al.
Diabetes, 2024
- Adamantane
- Benzhydryl Compounds
- Sitagliptin Phosphate
AIM: To evaluate the efficacy and tolerability of an initial triple combination therapy (TCT) compared with conventional stepwise add-on therapy (SAT) in patients with newly diagnosed type 2 diabetes (T2D). MATERIALS AND METHODS: This multicentre, randomized, 104-week, open-label trial randomized 105 patients with drug-naïve T2D (with HbA1c level ≥ 8.0%, < 11.0%) to the TCT (1000 mg of metformin, 10 mg of dapagliflozin and 5 mg of saxagliptin once daily) or SAT (initiated with metformin, followed by glimepiride and sitagliptin) groups. The primary outcome was the proportion of patients who achieved an HbA1c level of less than 6.5% without hypoglycaemia, weight gain of 5% or higher, or discontinuation of drugs because of adverse events at week 104. RESULTS: HbA1c reduction from baseline at week 104 was similar between the groups (the least squares mean change was -2.56% in the TCT group vs. -2.75% in the SAT group). The primary outcome was achieved in 39.0% and 17.1% of the TCT and SAT groups, respectively, with a risk difference of 22.0 (95% confidence interval 3.0, 40.8; P = .027). HbA1c level less than 6.5% at week 104 was 46.3% in both the TCT and SAT groups, whereas the incidence of hypoglycaemia, weight gain, or discontinuation of drugs was 16.7% and 62.0% in the TCT and SAT groups, respectively (P < .001). TCT was well-tolerated and had fewer adverse events than SAT. CONCLUSIONS: Among newly diagnosed patients with T2D, initial TCT effectively lowered HbA1c levels with higher tolerability and safety than SAT for 104 weeks, suggesting a novel strategy for initial combination therapy in T2D patients.
Abstract licence: CC BY-NC
Carol Pollock, Bergur Stefánsson, Daniel Reyner, et al.
The Lancet Diabetes & Endocrinology, 2019
S. Nandula, Arad Jain, Sabyasachi Sen
Stem Cell Research & Therapy, 2025
- Adamantane
- Benzhydryl Compounds
INTRODUCTION: Effects of Dapagliflozin (Dapa) and Dapagliflozin-Saxagliptin combination (Combo) was examined on peripheral blood derived CD34 + Hematopoetic Stem Cells (HSCs) as a cellular CVD biomarker. Both Dapa (a sodium-glucose co-transporter 2 or SGLT2, receptor inhibitor) and Saxagliptin (a Di-peptydl-peptidase-4 or DPP4 enzyme inhibitor) are commonly used type 2 diabetes mellitus or T2DM medications, however the benefit of using the combination has not been evaluated for cardio-renal risk assessment, in a real-life practice setting, compared to a placebo. HYPOTHESIS: We hypothesized that Dapa will improve the outcomes when compared to placebo and the Combo maybe even more beneficial. METHODS: This is a pilot study evaluating low dose Dapagliflozin 10 mg or low dose Dapa + low dose Saxagliptin combination. 15 subjects were enrolled in 16 weeks, double-blind, three-arm, randomized placebo matched trial, with 10mg Dapa + Saxa placebo (n = 4), 10 mg Dapa + 5 mg Saxa (n = 5) Combo, And Dapa placebo + Saxa placebo (n = 6), Placebo groups. T2DM subjects (age 30-70 yrs) with HbA1c of 7-10%, were included. CD34 + HSC number, migration, mRNA expression along with biochemistry and urine exosomes were measured. Data were collected at week 0, 8, and 16. For statistics, a mixed model regression analysis was used. RESULTS: Significant HbA1c (p = 0.0357) reduction was noted in Combo group versus Dapa alone and Placebo. hsCRP levels (P = 0.0317) and IL-6, two important inflammatory molecules, were significantly reduced in both Dapa and Combo vs. Placebo. Leptin levels decreased significantly in both Dapa alone (p = 0.035) and Combo group(p = 0.015), vs. Placebo, however the Adiponectin levels were higher in Dapa alone group. Dapagliflozin alone reduced lipid parameters significantly particularly triglyceride (TG) when compared to placebo, with resultant visit 3 values at 99.5 ± 7.2 vs. 129 ± 12.3 and LDL/HDL ratio values were similar at 2.18 ± 0.08 vs. 2.13 ± 0.15. CD34 + cell migration improved significantly in both Dapa alone (p = 0.05) and Combo group (p = 0.05) vs. Placebo. CONCLUSIONS: Several parameters showed significant improvement with both Dapa alone and Combo compared to placebo. However, when all outcome measures were taken into account, other than glycemic control the Combo didn't seem to offer any further benefit, over Dapa alone. Therefore, contrary to our initial hypothesis we do not believe the more expensive Dapa + Saxa combination offers any specific cardiovascular benefit compared to Dapagliflozin alone. However it is noteworthy that both Dapa and its combination with Saxagliptin showed significant improvement compared to placebo in T2DM, particularly when progenitor cell based numbers and function were analyzed and taken into account. TRIAL REGISTRATION: The trial was registered with Clinical Trials.gov number NCT03660683, last updated 06052023.
Abstract licence: CC BY
Gomes DS, Lourenço J, Moura MJ, et al.
2026
- Antitubercular Agents
- Hypoglycemic Agents
- Tuberculosis
BACKGROUND: The co-occurrence of tuberculosis (TB) and diabetes mellitus (DM) presents a growing public global health concern. Managing DM during anti-TB therapy is challenging due to potential drug-drug interactions, especially with rifamycin (RIF). RESEARCH QUESTION: Assess the effects of anti-TB drugs on the pharmacokinetics and pharmacodynamics of novel antidiabetic agents, including DPP-4 inhibitors (DPP4i), SGLT-2 inhibitors (SGLT2i) and GLP-1 receptor agonists (GLP-1a). STUDY DESIGN AND METHODS: A PRISMA-ScR-based scoping review was conducted among four databases. RESULTS: Ten studies involving 307 participants were included. RIF significantly reduced the plasma exposure of DPP4i (saxagliptin, gemigliptin, evogliptin) and canagliflozin, while other SGLT2i (dapagliflozin, empagliflozin, ertugliflozin) were minimally affected. No direct data was available for GLP-1a. Adverse events were rare in healthy participants but more frequent in elderly patients with poorly controlled DM. Linezolid and dapagliflozin co-administration may lead to severe pancytopenia. DISCUSSION: RIF co-administration with gemigliptin, evogliptin and canagliflozin requires caution and potential requiring dose adjustments, while saxagliptin, dapagliflozin, ertugliflozin and empagliflozin appear safer alternatives. Haematologic monitoring is recommended when combining linezolid and dapagliflozin. However, current evidence remains limited by small sample sizes, single-dose designs, inclusion of mainly healthy participants, and lack of data on GLP-1a or other anti-TB agents. The limited inclusion of DM patients with TB, restricted to one study with latent TB infection, further reduces generalisability. We developed a clinical decision algorithm to support co-treatment in TB - DM cases, but further dedicated studies are warranted to guide optimal co-treatment.
Abstract licence: CC BY
S. Desai, R. Maradia, B. Suhagia
Current Pharmaceutical Analysis, 2022
Sources: aggregated from Europe PMC (EMBL-EBI), OpenAlex, Crossref, PubMed and other open scholarly databases. Retracted articles are excluded. Study information is provided for research purposes and does not constitute medical advice.
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Scientific data (pharmacology, interactions, ADME) is not yet available for this medicine. Clinical sections are sourced from the NHS dm+d database.