Evidence map›Paper›PMID 34743418›Full record

ArticleJournal of diabetes investigation2022

Usefulness of subclassification of adult diabetes mellitus among inpatients in Japan.

Kohei Saito, Tatsuhide Inoue, Hiroyuki Ariyasu, Toshio Shimada, Hiroshi Itoh, Issei Tanaka, Chikashi Terao

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In one paragraph

Article in Journal of diabetes investigation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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4 · The record

Corrections and comments

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

7 authors.

Kohei SaitoCenter for Diabetes, Endocrinology and Metabolism, Shizuoka General Hospital, Shizuoka, Japan.ORCID https://orcid.org/0000-0001-5309-3317
Tatsuhide InoueCenter for Diabetes, Endocrinology and Metabolism, Shizuoka General Hospital, Shizuoka, Japan.
Hiroyuki AriyasuCenter for Diabetes, Endocrinology and Metabolism, Shizuoka General Hospital, Shizuoka, Japan.ORCID https://orcid.org/0000-0002-9307-1275
Toshio ShimadaClinical Research Center, Shizuoka General Hospital, Shizuoka, Japan.
Hiroshi ItohDepartment of Endocrinology, Metabolism and Nephrology, Keio University School of Medicine, Tokyo, Japan.
Issei TanakaCenter for Diabetes, Endocrinology and Metabolism, Shizuoka General Hospital, Shizuoka, Japan.
Chikashi TeraoClinical Research Center, Shizuoka General Hospital, Shizuoka, Japan.ORCID https://orcid.org/0000-0002-6452-4095

Funding

the Medical Research Support Project of the Shizuoka Prefectural Hospital Organization
6 · The paper itself

Abstract

AIMS/

introductionWe aimed to replicate a new diabetes subclassification based on objective clinical information at admission in a diabetes educational inpatient program. We also assessed the educational outcomes for each cluster.

methodsWe included diabetes patients who participated in the educational inpatient program during 2009-2020 and had sufficient clinical information for the cluster analysis. We applied a data-driven clustering method proposed in a previous study and further evaluated the clinical characteristics of each cluster. We investigated the association between the clusters and changes in hemoglobin A1c level from the start of the education program. We also assessed the risk of re-admission for the educational program.

resultsWe divided a total of 651 patients into five clusters. Their clinical characteristics followed the same pattern as in previous studies. The intercluster ranking of the cluster center coordinates showed strong correlation coefficients with those of the previous studies (mean ρ = 0.88). Patients classified as severe insulin-resistant diabetes (cluster 3) showed a more pronounced progression of renal dysfunction than patients classified as the other clusters. The patients classified as severe insulin-deficient diabetes (cluster 2) had the highest rate of reduction in hemoglobin A1c level from the start of the program (P < 0.01) and a tendency toward a lower risk of re-admission for the education program (hazard ratio 0.47, P = 0.09).

conclusionWe successfully replicated the diabetes subclassification using objective clinical information at admission for the education program. In addition, we showed that severe insulin-deficient diabetes patients tended to have better educational outcomes than patients classified as the other clusters.

Indexed as

Diabetes Mellitus, Type 2InpatientsAdultGlycated HemoglobinHumansInsulinJapanGlycated HemoglobinInsulinHomeostasis model assessmentType 1 diabetesType 2 diabetes

Identifiers

PMID34743418
PMCPMC9017630

What Socratic holds

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Registered trials

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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 Socratic graph.