Mohan-Taylor-Lakhani tool for Diabetes Remission Eligibility
Based on Research by : Dr Roy Taylor and Dr. V. Mohan
Developed by: Dr. Om J Lakhani
Use Case: Tool that helps to find if the patient is eligible for diabetes remission (colloquially called 'Diabetes reversal' ) based on the DiRECT study of Roy Taylor and Cluster classification by Dr. V. Mohan
Frequently asked questions
Q. Tell me more about diabetes remission ?
- Please see the notes on Diabetes Remission here - Diabetes Remission
Q. For whom is this too meant for ?
- This is only meant for adult patients with newly diagnosed diabetes mellitus
Q. Is this tool clinically validated ?
- No
Q. Is this patented ?
- No
- This is an open source initiative
- You can find the code and the logic used for the tool on GitHub : https://github.com/endocrinologyindia/diabetesremissioncalculator
Q. What is the algorithm used in the tool ?
- Here is the algorithm that we have used
Q. Can you show an example ?
Yes, please see this video:
Citations
- Anjana RM, Pradeepa R, Unnikrishnan R, Tiwaskar M, Aravind SR, Saboo B, Joshi SR, Mohan V. New and unique clusters of type 2 diabetes identified in Indians. J Assoc Physicians India. 2021 Feb 1;69(2):58-61.
- Lean ME, Leslie WS, Barnes AC, Brosnahan N, Thom G, McCombie L, Peters C, Zhyzhneuskaya S, Al-Mrabeh A, Hollingsworth KG, Rodrigues AM. Primary care-led weight management for remission of type 2 diabetes (DiRECT): an open-label, cluster-randomised trial. The Lancet. 2018 Feb 10;391(10120):541-51.
- Lakhani OJ, Gupta A, Tripathi P, Mehta C. An alpha-test of Diabetology. co. in—an algorithm-driven personalized and precision medicine prescription system for treatment-naive patients with type 2 diabetes. International Journal of Diabetes in Developing Countries. 2024 Jun 29:1-0.