ArticleCureus2025
Impact of ChatGPT on Diabetes Mellitus Self-Management Among Patients in Saudi Arabia.
Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
What it found
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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
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Stakeholder Perspectives on the Integration of AI in Diabetes Care: Systematic Review of Qualitative Studies.Journal of medical Internet research · 2026Pooled it
- Metabolic outcomes and insulin therapy modifications during Ramadan fasting in children with type 1 diabetes mellitus in low-resource settings.Pediatric endocrinology, diabetes, and metabolism · 2026Article
- Navigating the artificial intelligence-informed patient: a cross-sectional study of physicians' perceptions and clinical practices.Frontiers in public health · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDiabetes mellitus (DM) is a chronic condition requiring continuous self-management to prevent complications. Artificial intelligence (AI)-driven tools like ChatGPT (OpenAI, Inc., San Francisco, CA, USA) offer potential support in education, monitoring, and decision-making. However, research on its effectiveness in DM self-management remains limited, particularly in Saudi Arabia, necessitating further investigation into its role and impact. PURPOSE: This study aims to analyze the impact of ChatGPT on DM self-management.
methodsA qualitative experimental design was adopted in this study. DM patients after interacting with ChatGPT for a week participated in the interviews, where their perceptions on its impact were recorded. A total of 25 DM patients participated in the study, whose results were analyzed using thematic analysis.
resultsThe analysis of interview data revealed 11 themes related to the impact of ChatGPT on DM self-management, which included informational support, personalized recommendations, motivation and support, assistance in decision-making, offering self-care reminders, facilitating communication with healthcare providers, facilitating peer support, providing mental health support, tracking and monitoring, conducting health assessments, and education and awareness.
conclusionChatGPT has a positive impact on DM self-management. However, further research is needed due to ChatGPT's novel nature for generalizing results and extending its applicability to other areas of healthcare.
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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 OpenQuestion graph.