ReviewDiabetes, obesity & metabolism2018
Treating diabetic complications; from large randomized clinical trials to precision medicine.
Review in Diabetes, obesity & metabolism, 2018. 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, 5 citations in OpenAlex.
- Precision Medicine Approaches to Diabetic Kidney Disease: Personalized Interventions on the Horizon.Cureus · 2023Review
- Precision Nephrology in Patients with Diabetes and Chronic Kidney Disease.International journal of molecular sciences · 2022Review
- Perspectives on a Way Forward to Implementation of Precision Medicine in Patients With Diabetic Kidney Disease; Results of a Stakeholder Consensus-Building Meeting.Frontiers in pharmacology · 2021Article
- Electron paramagnetic resonance oximetry as a novel approach to monitor the effectiveness and quality of red blood cell transfusions.Blood transfusion = Trasfusione del sangue · 2019Article
- Treating diabetic complications; from large randomized clinical trials to precision medicine.Diabetes, obesity & metabolism · 2018Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In the last decades, many large randomized controlled trials have been conducted to assess the efficacy and safety of new interventions for the treatment of diabetic kidney disease (DKD). Unfortunately, these trials failed to demonstrate additional kidney or cardiovascular protection. One of the explanations for the failure of these trials appears to be the large variation in drug response between individual patients. All trials to date tested a drug which was targeted to a large heterogeneous population assuming that every individual will show a similar beneficial respond to the drug. Post hoc analyses from the past clinical trials, however, suggest that individual patients show a marked variation in drug response. This highlights the need to personalize treatment taking proper account of the characteristics and preferences of individual patients. Transitioning to a personalized therapy approach will have implications for clinical trial designs, drug registration and its use in clinical practice. Successful implementation of personalized medicine thus requires engagement of multiple stakeholders including academic community, pharmaceutical industry, regulatory agencies, health policy makers, physicians and patients. This supplement of Diabetes Obesity and Metabolism provides a summary on the state-of-the-art of personalized medicine in diabetic kidney disease from the views of various stakeholders.
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.