ReviewReviews in endocrine & metabolic disorders2017
Current therapeutic approaches in the management of hyperglycemia in chronic renal disease.
Review in Reviews in endocrine & metabolic disorders, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed, 17 citations in OpenAlex.
- Associations of mixed metal exposure with chronic kidney disease from NHANES 2011-2018.Scientific reports · 2024Article
- The importance of proinflammatory failed-repair tubular epithelia as a predictor of diabetic kidney disease progression.iScience · 2024Article
- Screening and Management of Coronary Artery Disease in Kidney Transplant Candidates.Diagnostics (Basel, Switzerland) · 2023Review
- Susceptibility to Metabolic Diseases in COVID-19: To be or Not to be an Issue.Frontiers in molecular biosciences · 2022Review
- 2020 Consensus of Taiwan Society of Cardiology on the pharmacological management of patients with type 2 diabetes and cardiovascular diseases.Journal of the Chinese Medical Association : JCMA · 2020Article
- Current molecular aspects in the development and treatment of diabetes.Journal of physiology and biochemistry · 2020Review
- Nephroendocrinology: When endocrinology meets nephrology.Reviews in endocrine & metabolic disorders · 2017Article
- Effects of Intensive Control of Glycemia on Clinical Kidney Outcomes in Type 2 Diabetes Patients Compared with Standard Control: A Meta-Analysis.Frontiers in pharmacology · 2017Article
- PROTECTIVE EFFECT OF INSULIN TREATMENT ON EARLY RENAL CHANGES IN STREPTOZOTOCIN-INDUCED DIABETIC RATS.Acta endocrinologica (Bucharest, Romania : 2005)Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Diabetes mellitus (DM) and chronic kidney disease (CKD) are intricately intertwined. DM is the most common cause of CKD. Adequate control of DM is necessary for prevention of progression of CKD, while careful management of the metabolic abnormalities in CKD will assist in achieving better control of DM. Two of the key organs involved in glucose production are the kidney and the liver. Furthermore, the kidney also plays a role in glucose filtration and reabsorption. In CKD, monitoring of glycemic control using traditional methods such as Hemoglobin A1c (Hba1c) must be done with caution secondary to associated hematological abnormalities in CKD. With regard to medication management in the care of patients with DM, CKD has significant effects. For example, the dosages of oral and non-insulin anti-hyperglycemic agents often need to be modified according to renal function. Insulin metabolism is altered in CKD, and a reduction in insulin dose is almost always needed. Dialysis also affects various aspects of glucose homeostasis, necessitating appropriate changes in therapy. Due to the aforementioned factors glycemic management in patients with DM and CKD can be quiet challenging.
Indexed as
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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 Socratic graph.