ArticleDiabetes care2013
Diabetes prevention and treatment strategies: are we doing enough?
Article in Diabetes care, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed.
- Personalized Diabetes Management with Digital Twins: A Patient-Centric Knowledge Graph Approach.Journal of personalized medicine · 2024Article
- Potential Medicinal Value of Rhein for Diabetic Kidney Disease.Chinese journal of integrative medicine · 2023Review
- Article
- Maternal low protein diet and fetal programming of lean type 2 diabetes.World journal of diabetes · 2022Review
- Plasma apolipoprotein concentrations and incident diabetes in subjects with prediabetes.Cardiovascular diabetology · 2022Observational
- The Effects of Major Mushroom Bioactive Compounds on Mechanisms That Control Blood Glucose Level.Journal of fungi (Basel, Switzerland) · 2021Review
- Article
- Sex and Gender Differences in Prevention of Type 2 Diabetes.Frontiers in endocrinology · 2018Review
- Prevention of type 2 diabetes through lifestyle modification: is there a role for higher-protein diets?Advances in nutrition (Bethesda, Md.) · 2015Review
- Analyzing Short Message Services Application Effect on Diabetic Patients' Self-caring.International journal of preventive medicine · 2015Article
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.
Funding
Abstract
objectiveEffective interventions to prevent, delay, or remit diabetes are currently available. However, their impact on the prevalence of diabetes at the population level is unknown. This study aimed to estimate the impact of a range of diabetes interventions on the population prevalence of diabetes for Australian adults between 2010 and 2025. RESEARCH DESIGN AND
methodsWe used the Australian Diabetes Projection Model to estimate the impact of a population-wide strategy, high-risk prevention, surgical diabetes treatment, and a combination strategy on the future population prevalence of diabetes and to estimate the number of diabetes cases that could be potentially prevented in the year 2025.
resultsWe estimate that a population-wide strategy would reduce the number of diabetes cases by 60,000-85,000 in 2025 from an estimated 2 million cases under the status quo scenario. A high-risk prevention strategy would result in 106,000 to 150,000 fewer cases of diabetes in 2025, and surgically induced weight loss would result in 3,000-6,000 fewer cases. No single intervention, or combination of interventions, reversed the increasing trend in diabetes prevalence over the next 15 years.
conclusionsTo reverse upward trends in diabetes prevalence in future years, it is essential that current approaches to diabetes prevention and treatment are optimized and implemented and that alternative approaches to reduce the prevalence of diabetes at a population level are developed.
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.