Unveiling the heterogeneity of T2DM: a narrative review of clustering algorithms in stratifying comorbidity and complication risk.

Aziz N, Kamran N, Almas A, Bloomfield GS, Ahmed A, Samad Z, Mahmood T

Open source

DOI
10.1186/s40842-026-00273-9
Published
2026 Feb 28
Container
Cardiovascular diabetology. Endocrinology reports
Publisher
Not recorded
Open access
yes

Credibility signals

limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1186/s40842-026-00273-9,
  title = {Unveiling the heterogeneity of T2DM: a narrative review of clustering algorithms in stratifying comorbidity and complication risk.},
  author = {Aziz N and Kamran N and Almas A and Bloomfield GS and Ahmed A and Samad Z and Mahmood T},
  year = {2026},
  journal = {Cardiovascular diabetology. Endocrinology reports},
  doi = {10.1186/s40842-026-00273-9},
  url = {https://doi.org/10.1186/s40842-026-00273-9}
}

RIS

TY  - JOUR
TI  - Unveiling the heterogeneity of T2DM: a narrative review of clustering algorithms in stratifying comorbidity and complication risk.
AU  - Aziz N
AU  - Kamran N
AU  - Almas A
AU  - Bloomfield GS
AU  - Ahmed A
AU  - Samad Z
AU  - Mahmood T
PY  - 2026
JO  - Cardiovascular diabetology. Endocrinology reports
DO  - 10.1186/s40842-026-00273-9
UR  - https://doi.org/10.1186/s40842-026-00273-9
ER  - 

APA

N, A., N, K., A, A., GS, B., A, A., Z, S., & T, M. (2026). Unveiling the heterogeneity of T2DM: a narrative review of clustering algorithms in stratifying comorbidity and complication risk.. Cardiovascular diabetology. Endocrinology reports. https://doi.org/10.1186/s40842-026-00273-9

Source records