Diversity of Daily Glycemic Phenotypes Is Independently Associated With HbA1c: A Time-Resolved CGM Clustering Analysis

Saeko Osawa, Emi Kuroiwa, Naohiko Ito

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DOI: 10.1177/19322968261436429
Published: 2026-07-06
Container: Journal of Diabetes Science and Technology
Publisher: SAGE Publications
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1177/19322968261436429,
  title = {Diversity of Daily Glycemic Phenotypes Is Independently Associated With HbA1c: A Time-Resolved CGM Clustering Analysis},
  author = {Saeko Osawa and Emi Kuroiwa and Naohiko Ito},
  year = {2026},
  journal = {Journal of Diabetes Science and Technology},
  doi = {10.1177/19322968261436429},
  url = {https://doi.org/10.1177/19322968261436429}
}

RIS

TY  - JOUR
TI  - Diversity of Daily Glycemic Phenotypes Is Independently Associated With HbA1c: A Time-Resolved CGM Clustering Analysis
AU  - Saeko Osawa
AU  - Emi Kuroiwa
AU  - Naohiko Ito
PY  - 2026
JO  - Journal of Diabetes Science and Technology
DO  - 10.1177/19322968261436429
UR  - https://doi.org/10.1177/19322968261436429
ER  -

APA

Osawa, S., Kuroiwa, E., & Ito, N. (2026). Diversity of Daily Glycemic Phenotypes Is Independently Associated With HbA1c: A Time-Resolved CGM Clustering Analysis. Journal of Diabetes Science and Technology. https://doi.org/10.1177/19322968261436429

Source records

crossref · retrieved 2026-09-25T16:50:38.441Z