ArticleDiabetes care2025
Large Language Models in Diabetes Management: The Need for Human and Artificial Intelligence Collaboration.
Article in Diabetes care, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed.
- TCMEval-PA: a question-answering benchmark dataset for the prescription audit of Traditional Chinese Medicine.Scientific data · 2025Article
- What do LLMs value? An evaluation framework for revealing subjective trade-offs in assessment of glycemic control.Proceedings of machine learning research · 2025Article
- GLM-DM: language model boosted neural networks for HbA1c trend prediction in diabetes mellitus.Future science OA · 2025Article
- Artificial Intelligence in Diabetes Care: Applications, Challenges, and Opportunities Ahead.Endocrine practice : official journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists · 2025Review
Corrections and comments
- Comment on
Authors and funding
5 authors.
Funding
Abstract
PubMed holds no abstract for this paper.
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.