Prediction of Postprandial Blood Glucose Variability Using Machine Learning in Frequent Insulin Injection Therapy with a Simplified Carbohydrate Counting Model.
Observational study in Nutrients, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
2 · The registry
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.
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what money
Authors and funding
11 authors.
Hiroyuki TominagaDepartment of Endocrinology and Metabolism, Graduate School of Medicine, Kyoto Prefectural University of Medicine, Kyoto 602-8566, Japan.
Masahide HamaguchiDepartment of Endocrinology and Metabolism, Graduate School of Medicine, Kyoto Prefectural University of Medicine, Kyoto 602-8566, Japan.ORCID 0000-0002-8651-4445
Youji HamaguchiS.I.P., Tokyo 141-0021, Japan.
Ren YashikiDepartment of Endocrinology and Metabolism, Graduate School of Medicine, Kyoto Prefectural University of Medicine, Kyoto 602-8566, Japan.
Aki YamaguchiPersol Avc Technology Co., Ltd., Osaka 569-1194, Japan.
Masahiro YamazakiDepartment of Metabolism and Endocrinology, Japanese Red Cross Society Kyoto Daini Hospital, Kyoto 602-8026, Japan.
Noriyuki KitagawaDepartment of Endocrinology and Metabolism, Graduate School of Medicine, Kyoto Prefectural University of Medicine, Kyoto 602-8566, Japan.ORCID 0000-0003-3263-9469
Yoshitaka HashimotoDepartment of Diabetes and Endocrinology, Matsushita Memorial Hospital, Osaka 570-8540, Japan.ORCID 0000-0002-8794-0550
Hiroshi OkadaDepartment of Endocrinology and Metabolism, Graduate School of Medicine, Kyoto Prefectural University of Medicine, Kyoto 602-8566, Japan.ORCID 0000-0002-1707-970X
Michiaki FukuiDepartment of Endocrinology and Metabolism, Graduate School of Medicine, Kyoto Prefectural University of Medicine, Kyoto 602-8566, Japan.ORCID 0000-0003-0903-1797
Funding
Fiscal Year 2024 Research and Development Support Program for Growth-Oriented Small and Medium-Sized Enterprises 24020192Japan IDDM Network 2022 Research Grant NAJapan Science and Technology Agency (JST) 2023 Feasibility Verification 23815138Kyoto Innovative Medical Technology Research and Development Program (FY2022) NATanuma Green House Foundation Research Grant (2024) NA
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.
Prediction of Postprandial Blood Glucose Variability Using Machine Learning in Frequent Insulin Injection Therapy with a Simplified Carbohydrate Counting Model. · full record | OpenQuestion