ReviewWiener klinische Wochenschrift2023
Value of SGLT-2 inhibitors in the treatment of chronic kidney disease : Clinical and practical implications.
Review in Wiener klinische Wochenschrift, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed, 4 citations in OpenAlex.
- Sweet relief: exploring mechanisms and therapeutic approaches of sodium-glucose cotransporter-2 inhibitors in cardiovascular-kidney metabolic syndrome.Cardiovascular diabetology · 2026Review
- Impact of SGLT-2 inhibitors on long-term prognosis in patients with heart failure with preserved ejection fraction: a systematic review and meta-analysis of randomized controlled trials.American journal of translational research · 2026Review
- Chronic cardiorenal syndrome: cardio-renal protective effect of SGLT2i.Renal failure · 2025Review
- Impact of DPP-4 Inhibitors in Patients with Diabetes Mellitus and Heart Failure: An In-Depth Review.Medicina (Kaunas, Lithuania) · 2024Review
- Understanding the heterogeneity and dysfunction of HDL in chronic kidney disease: insights from recent reviews.BMC nephrology · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Chronic kidney disease (CKD) drastically increases the risk for cardiovascular morbidity and mortality and its worldwide prevalence is still rising. Effective treatment slows CKD progression, prevents development of end-stage kidney disease and cardiovascular disease thereby prolonging survival of patients. Recently, several large-scale studies with sodium-glucose cotransport‑2 inhibitors (SGLT-2i) have demonstrated profound nephroprotective and cardioprotective properties in patients with type 2 diabetes mellitus with both CKD and heart failure. Recently, the dapagliflozin and prevention of adverse outcomes in chronic kidney disease (DAPA-CKD) trial demonstrated that the selective SGLT-2i dapagliflozin reduced the hazard ratio for a composite renal and cardiovascular death endpoint in patients with CKD with or without type 2 diabetes. Furthermore, dapagliflozin exerted strong nephroprotection in CKD patients with diverse etiologies like IgA nephropathy. Furthermore, other promising CKD trials such as with empagliflozin are underway. Hence, individualized treatment with SGLT2i represents a promising therapeutic option for patients with both diabetic and non-diabetic CKD. Here we summarize the current knowledge on the treatment with SGLT-2i in CKD patients underscoring a strong rationale for SGLT2 inhibition to be incorporated into standard of care for most CKD patients also with non-diabetic kidney disease. Finally, we aim to translate the current evidence into recommendations for the clinical practice in the management of patients with CKD.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.