1707108 impact of digital twin intervention on microalbuminuria progression in participants enrolled for type 2 diabetes remission: outcomes of RCCT at 1 year
Open accessIntegrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
DT technology effectively managed T2D complications, showing significant regression in microalbuminuria.
“The DT technology also effectively managed T2D complications, showing significant regression in microalbuminuria (22), diabetic neuropathy (23) and diabetic retinopathy (24).”
From Personalized nutrition in type 2 diabetes remission: application of digital twin technology for predictive glycemic control (2024) · cites this paper as [22]
The DT group demonstrated improvements in albuminuria: 92% of participants had normal albuminuria at one year (up from 79% at baseline), macroalbuminuria decreased from 4% to 1%, and mean albuminuria decreased from 36.5 mg/g to 17 mg/g (P=0.0166) while increasing in the SC group.
“The DT group demonstrated significant improvements in albuminuria, with 92% of participants exhibiting normal albuminuria at one year, up from 79% at baseline. Macroalbuminuria decreased from 4% to 1% in the DT group, and mean albuminuria levels significantly decreased from 36.5 mg/g to 17 mg/g (P=0.0166) in the DT group while increasing in the SC group (22).”
From Personalized nutrition in type 2 diabetes remission: application of digital twin technology for predictive glycemic control (2024) · cites this paper as [22]
Cites
Still being checked.
Cited by
Sorted by citations
Shamanna, P., Joshi, S., Thajudeen, M., Shah, L., Poon, T., Mohamed, M., & Mohammed, J. (2024) · Frontiers in Endocrinology · doi:10.3389/fendo.2024.1485464 · Cited by 56 · see citing works
Self-citationThe future of precision diabetes: Digital twin
Shamanna, P., & Joshi, S. (2024) · Elsevier eBooks · doi:10.1016/b978-0-323-98808-7.00021-7 · Cited by 2 · see citing works
Self-citation
- Authors
- Shamanna, P., Joshi, S., Dharmalingam, M., Vadavi, A., Keshavamurthy, A., Thajudeen, M., Bhonsley, S., & Shamanna, P.
- Affiliations
- Lilavati Hospital & Research Centre (IN)
- M.S. Ramaiah Medical College (IN)
- Sudha Hospital and Medical Research Centre (IN)
- Venue
- Endocrine Practice
- Publisher
- Elsevier BV
- Published
- 2024-05
- Volume
- 30
- Issue
- 5
- Pages
- S50-S51
- ISSN
- 1530-891X (ISSN-L)
- OpenAlex
- W4396744841
- Cited by
- 2
- References
- 0
- Citations by year
- 2024: 2
- FWCI
- 1.18
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Endocrine Practice (publishedVersion)
- Topics
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Health Sciences › Medicine › Nephrology › Chronic Kidney Disease and Diabetes
- Keywords
- digital twin, type 2 diabetes remission, microalbuminuria, albuminuria progression, HbA1c, personalized nutrition, mobile health apps, artificial intelligence, Internet of Things
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review