ReviewAnnals of the New York Academy of Sciences2018
Precision medicine in diabetes: an opportunity for clinical translation.
Review in Annals of the New York Academy of Sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 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
19 citing papers in PubMed.
- The Skin Microbiome: A New Key Player in Melanoma, From Onset to Metastatic Stage.Pigment cell & melanoma research · 2025Review
- Harnessing Pharmacomultiomics for Precision Medicine in Diabetes: A Comprehensive Review.Biomedicines · 2025Review
- Data-driven Cluster Analysis Reveals Increased Risk for Severe Insulin-deficient Diabetes in Black/African Americans.The Journal of clinical endocrinology and metabolism · 2025Article
- Transform diabetes care with precision medicine.Health science reports · 2023Review
- Article
- Insulin detection in diabetes mellitus: challenges and new prospects.Nature reviews. Endocrinology · 2023Review
- Insulin resistance and beta-cell dysfunction in newly diagnosed type 2 diabetes: Expression, aggregation and predominance. Verona Newly Diagnosed Type 2 Diabetes Study 10.Diabetes/metabolism research and reviews · 2022Article
- Epigenetics in Precision Nutrition.Journal of personalized medicine · 2022Review
- Effective Treatment Recommendations for Type 2 Diabetes Management Using Reinforcement Learning: Treatment Recommendation Model Development and Validation.Journal of medical Internet research · 2021Article
- How practice setting affects family physicians' views on genetic screening: a qualitative study.BMC family practice · 2021Article
- The ongoing effect of diabetes during pregnancy and the impact on infants.The Lancet regional health. Western Pacific · 2020Article
- Paracrine signaling in islet function and survival.Journal of molecular medicine (Berlin, Germany) · 2020Review
- Utility of Precision Medicine in the Management of Diabetes: Expert Opinion from an International Panel.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2020Review
- The current state of omics technologies in the clinical management of asthma and allergic diseases.Annals of allergy, asthma & immunology : official publication of the American College of Allergy, Asthma, & Immunology · 2019Review
- A systems biology approach towards understanding and treating non-neovascular age-related macular degeneration.Nature communications · 2019Review
- Disease progression and treatment response in data-driven subgroups of type 2 diabetes compared with models based on simple clinical features: an analysis using clinical trial data.The lancet. Diabetes & endocrinology · 2019 · on this mapArticle
- The Continuing Evolution of Precision Health in Type 2 Diabetes: Achievements and Challenges.Current diabetes reports · 2019Review
- Precision Medicine in Non Communicable Diseases.International journal of molecular and cellular medicine · 2019Review
- The "A to Z" of Managing Type 2 Diabetes in Culturally Diverse Populations.Frontiers in endocrinology · 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.
Funding
Abstract
Metabolic disorders present a public health challenge of staggering proportions. In diabetes, there is an urgent need to better understand disease heterogeneity, clinical trajectories, and related comorbidities. A pressing and timely question is whether we are ready for precision medicine in diabetes. Some biological insights that have emerged during the last decade have already been used to direct clinical decision making, especially in monogenic forms of diabetes. However, much work is necessary to integrate high-dimensional explorations into complex disease architectures, less penetrant biological alterations, and broader phenotypes, such as type 2 diabetes. In addition, for precision medicine to take hold in diabetes, reproducibility, interpretability, and actionability remain key guiding objectives. In this review, we examine how mounting data sets generated during the last decade to understand biological variability are now inspiring new venues to clarify diabetes nosology and ultimately translate findings into more effective prevention and treatment strategies.
Indexed as
Identifiers
What Socratic 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 Socratic graph.