ArticleCureus2022
Frequency of Urinary Tract Infections in Type 2 Diabetic Patients Taking Dapagliflozin.
Article in Cureus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed, 19 citations in OpenAlex.
- Article
- Article
- Analysing the influence of dapagliflozin on urinary tract infection vulnerability and kidney injury in mice infected with uropathogenic Escherichia coli.Diabetes, obesity & metabolism · 2025Article
- Article
- Sizing SGLT2 Inhibitors Up: From a Molecular to a Morpho-Functional Point of View.International journal of molecular sciences · 2023Review
- Lower Urinary Tract Disorders as Adverse Drug Reactions-A Literature Review.Pharmaceuticals (Basel, Switzerland) · 2023Review
- The Incidence and Risk Factors of Urinary Tract Infection in Patients with Type 2 Diabetes Mellitus Using SGLT2 Inhibitors: A Real-World Observational Study.Medicines (Basel, Switzerland) · 2022Article
- Septic Shock Due to Urinary Tract Infection in an Immunosuppressed Patient Prescribed Dapagliflozin.Cureus · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background Urinary tract infections (UTIs) are common in patients with diabetes. The use of sodium-glucose cotransporter-2 inhibitors (SGLT2i) to achieve good glycemic control increases glucose levels in urine. This glycosuria further enhances the risk of UTIs. This study aimed to evaluate the frequency of UTIs in patients with type 2 diabetes receiving the SGLT2i dapagliflozin as an add-on therapy. Methods We conducted this cross-sectional study at the Endocrinology Department of Hayatabad Medical Complex in Peshawar from April 2020 to September 2020. A total of 400 patients with diabetes receiving either 5 mg or 10 mg of dapagliflozin as an add-on therapy for the treatment of type 2 diabetes were included in this study. We collected blood and urine samples from participants and measured glycosylated hemoglobin levels. Urine samples were cultured on cysteine lactose electrolyte deficient agar. We used IBM SPSS Statistics for Windows, version 25.0 (IBM Corp., Armonk, NY) to analyze our data. Results The prevalence of UTIs in diabetic patients receiving 5 mg or 10 mg of dapagliflozin was 5.3%. Women were more affected (76.2%) than men (p < 0.05). UTIs were more prevalent in patients older than 50 years (85.7%) than in any other age group. The dose strength of dapagliflozin was not associated with UTIs (p > 0.05). Conclusion This study examined UTIs in patients taking dapagliflozin for the treatment of type 2 diabetes. These infections were mild to moderate and were treated easily. None of these infections caused the patient to discontinue the treatment. Dapagliflozin is well-tolerated in patients with diabetes but should be used with appropriate caution and monitoring.
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.