Evidence map›Paper›PMID 32630741›Full record

ArticleJournal of clinical medicine2020

Factors Associated with Risk of Diabetic Complications in Novel Cluster-Based Diabetes Subgroups: A Japanese Retrospective Cohort Study.

Hayato Tanabe, Haruka Saito, Akihiro Kudo, Noritaka Machii, Hiroyuki Hirai, Gulinu Maimaituxun, Kenichi Tanaka, Hiroaki Masuzaki, Tsuyoshi Watanabe, Koichi Asahi and 2 more

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed, 3 pooled it
10.4field-weighted citation impact, top 1% of its field
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

66 citing papers in PubMed, 3 syntheses or guidelines pooled it, 106 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. The Identification of Diabetes Mellitus Subtypes Applying Cluster Analysis Techniques: A Systematic Review.International journal of environmental research and public health · 2020
    Pooled it
  4. Trial
  5. Trial
  6. Trial
  7. Trial
  8. Review
  9. Review
  10. Review
  11. Article
  12. Genetic basis of Asian diabetes.Journal of diabetes investigation · 2026
    Review
  13. Article
  14. Identification of Patient Clusters with Distinct Disease Progression Patterns Utilizing a Nationwide Finnish Population with Type 2 Diabetes.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2026
    Article
  15. Article
  16. Article
  17. Article
  18. Diabetes Genetic Clusters and Clinical Outcomes in the Chronic Renal Insufficiency Cohort.Clinical journal of the American Society of Nephrology : CJASN · 2026
    Article
  19. Observational
  20. Article

6 more citing papers are in PubMed but not listed here.

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

12 authors at 4 institutions in 1 country.

Hayato TanabeDepartment of Diabetes, Endocrinology and Metabolism, Fukushima Medical University, Fukushima 960-1295, Japan.
Haruka SaitoDepartment of Diabetes, Endocrinology and Metabolism, Fukushima Medical University, Fukushima 960-1295, Japan.
Akihiro KudoDepartment of Diabetes, Endocrinology and Metabolism, Fukushima Medical University, Fukushima 960-1295, Japan.
Noritaka MachiiDepartment of Diabetes, Endocrinology and Metabolism, Fukushima Medical University, Fukushima 960-1295, Japan.
Hiroyuki HiraiDepartment of Diabetes, Endocrinology and Metabolism, Fukushima Medical University, Fukushima 960-1295, Japan.
Gulinu MaimaituxunDepartment of Diabetes, Endocrinology and Metabolism, Fukushima Medical University, Fukushima 960-1295, Japan.
Kenichi TanakaDepartment of Nephrology and Hypertension, Fukushima Medical University, Fukushima 960-1295, Japan.
Hiroaki MasuzakiDivision of Endocrinology, Diabetes and Metabolism, Hematology, Rheumatology (Second Department of Internal Medicine), University of the Ryukyu, Okinawa 903-0215, Japan.
Tsuyoshi WatanabeDepartment of General Medicine, Tokyo-Kita Medical Center, Tokyo 115-0053, Japan.
Koichi AsahiDepartment of Nephrology and Hypertension, Iwate Medical University, Iwate 020-8505, Japan.
Junichiro KazamaDepartment of Nephrology and Hypertension, Fukushima Medical University, Fukushima 960-1295, Japan.
Michio ShimabukuroDepartment of Diabetes, Endocrinology and Metabolism, Fukushima Medical University, Fukushima 960-1295, Japan.ORCID 0000-0001-7835-7665
Fukushima Medical University · JPIwate Medical University · JPTokyo-Kita Medical Center · JPUniversity of the Ryukyus · JP

Funding

Japan Agency for Medical Research and Development 965304Japan Society for the Promotion of Science 16K01823, 18K02242, 17K00924
6 · The paper itself

Abstract

Diabetes is a complex and heterogeneous disease, making the prediction of the risks of diabetic complications challenging. Novel adult-onset diabetes subgroups have been studied using cluster analysis, but its application in East Asians remains unclear. We conducted a retrospective cohort study to elucidate the clinical utility of cluster-based subgroup analysis in the Japanese population. Cluster analysis based on anti-glutamate decarboxylase antibody (GAD antibody) levels, age at diagnosis, body mass index (BMI), hemoglobin A1c (A1c), and homeostatic model assessment 2 estimates of β-cell function and insulin resistance was performed in 1520 diabetic patients. The risk of developing diabetic complications was analyzed using Kaplan-Meier analysis and the Cox proportional hazards model. By cluster analysis, we identified five distinct subgroups of adult-onset diabetes in the Japanese population. The risk of diabetic complications varied greatly among the clusters. Patients with severe autoimmune diabetes or severe insulin deficiency diabetes were at an increased risk of diabetic retinopathy, and those with severe insulin resistant diabetes (SIRD) had the highest risk of developing diabetic kidney disease (DKD). After adjusting for uncorrectable and correctable risk factors, SIRD was found to be an independent risk factor for DKD. In conclusion, we identified five subgroups of adult-onset diabetes and the risk factors for diabetic complications in the Japanese population. This new classification system can be effective in predicting the risk of diabetic complications and for providing optimal treatment.

Indexed as

chronic kidney diseasecoronary artery diseasehomeostasis model assessment (HOMA)retinopathytype 2 diabetes

Identifiers

PMID32630741
PMCPMC7408659
OpenAlexW3040193086

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.