Evidence map›Paper›PMID 40143709›Full record

ArticleJournal of diabetes investigation2025

Relation between obesity and health disorders as revealed by the J-ORBIT clinical information collection system directly linked to electronic medical records (J-ORBIT 1).

Seiji Nishikage, Yushi Hirota, Yasushi Nakagawa, Masamichi Ishii, Mitsuru Ohsugi, Eiichi Maeda, Kai Yoshimura, Akane Yamamoto, Tomofumi Takayoshi, Takehiro Kato and 14 more

Abstract read
In one paragraph

Article in Journal of diabetes investigation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
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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

24 authors.

Seiji NishikageDivision of Diabetes and Endocrinology, Department of Internal Medicine, Kobe University Graduate School of Medicine, Kobe, Japan.
Yushi HirotaDivision of Diabetes and Endocrinology, Department of Internal Medicine, Kobe University Graduate School of Medicine, Kobe, Japan.ORCID https://orcid.org/0000-0002-3035-4155
Yasushi NakagawaDivision of Diabetes and Endocrinology, Department of Internal Medicine, Kobe University Graduate School of Medicine, Kobe, Japan.
Masamichi IshiiCenter for Medical Informatics Intelligence, National Center for Global Health and Medicine, Tokyo, Japan.
Mitsuru OhsugiDiabetes and Metabolism Information Center, Research Institute, National Center for Global Health and Medicine, Tokyo, Japan.ORCID https://orcid.org/0000-0002-3222-8507
Eiichi MaedaDivision of Medical Informatics, Department of Internal Medicine, Kobe University Graduate School of Medicine, Kobe, Japan.
Kai YoshimuraDivision of Diabetes and Endocrinology, Department of Internal Medicine, Kobe University Graduate School of Medicine, Kobe, Japan.ORCID https://orcid.org/0009-0002-6144-1320
Akane YamamotoDivision of Diabetes and Endocrinology, Department of Internal Medicine, Kobe University Graduate School of Medicine, Kobe, Japan.
Tomofumi TakayoshiDivision of Diabetes and Endocrinology, Department of Internal Medicine, Kobe University Graduate School of Medicine, Kobe, Japan.
Takehiro KatoDepartment of Diabetes, Endocrinology, and Metabolism and Department of Rheumatology and Clinical Immunology, Gifu University Graduate School of Medicine, Gifu, Japan.
Daisuke YabeDepartment of Diabetes, Endocrinology, and Metabolism and Department of Rheumatology and Clinical Immunology, Gifu University Graduate School of Medicine, Gifu, Japan.ORCID https://orcid.org/0000-0002-5334-7687
Munehide MatsuhisaDiabetes Therapeutics and Research Center, Institute of Advanced Medical Sciences, Tokushima University, Tokushima, Japan.ORCID https://orcid.org/0000-0003-4624-939X
Jun EguchiDepartment of Nephrology, Rheumatology, Endocrinology, and Metabolism, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama, Japan.
Jun WadaDepartment of Nephrology, Rheumatology, Endocrinology, and Metabolism, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama, Japan.ORCID https://orcid.org/0000-0003-1468-5170
Yukihiro FujitaDepartment of Medicine, Shiga University of Medical Science, Otsu, Shiga, Japan.
Shinji KumeDepartment of Medicine, Shiga University of Medical Science, Otsu, Shiga, Japan.ORCID https://orcid.org/0000-0001-6937-9715
Hiroshi MaegawaDepartment of Medicine, Shiga University of Medical Science, Otsu, Shiga, Japan.ORCID https://orcid.org/0000-0002-4611-8149
Kana MiyakeDepartment of Diabetes and Metabolic Disease, The University of Tokyo Graduate School of Medicine, Tokyo, Japan.
Nobuhiro ShojimaDepartment of Diabetes and Metabolic Disease, The University of Tokyo Graduate School of Medicine, Tokyo, Japan.
Toshimasa YamauchiDepartment of Diabetes and Metabolic Disease, The University of Tokyo Graduate School of Medicine, Tokyo, Japan.ORCID https://orcid.org/0000-0003-4827-6404
Koutaro YokoteChiba University, Chiba, Japan.
Kohjiro UekiDiabetes Research Center, Research Institute, National Center for Global Health and Medicine, Tokyo, Japan.
Kengo MiyoCenter for Medical Informatics Intelligence, National Center for Global Health and Medicine, Tokyo, Japan.
Wataru OgawaDivision of Diabetes and Endocrinology, Department of Internal Medicine, Kobe University Graduate School of Medicine, Kobe, Japan.ORCID https://orcid.org/0000-0002-0432-4366

Funding

Boehringer Ingelheim Co. Ltd.Eli Lilly JapanNovo Nordisk Pharma Ltd.Principal investigator
6 · The paper itself

Abstract

AIMS/

introductionObesity triggers various health disorders, but information on these disorders in real-world settings remains limited. To address this knowledge gap, we developed a database directly linked to electronic medical records (EMRs). We here present the baseline data for this database, designated Japan Obesity Research Based on electronIc healTh Records (J-ORBIT). MATERIALS AND

methodsIndividuals with obesity disease diagnosed according to the criteria of the Japan Society for the Study of Obesity were registered in J-ORBIT from seven medical centers in Japan. We analyzed the relationship between body mass index (BMI), clinical characteristics, and the prevalence of obesity-related health disorders in this cohort.

resultsData were obtained from 1,169 individuals, with a mean (±SD) age of 56.9 ± 15.3 years and a BMI of 31.4 ± 6.1 kg/m

conclusionsThe J-ORBIT system, which collects clinical data in real time directly from EMRs, has the potential to provide insight into obesity and its associated health conditions, thereby contributing to improved care of affected individuals.

Indexed as

Electronic Health RecordsObesityAdultAgedBody Mass IndexDatabases, FactualFemaleHumansJapanMaleMiddle AgedPrevalencePrognosisSleep Apnea, ObstructiveBody mass indexElectronic medical recordsObesity

Identifiers

PMID40143709
PMCPMC12131930

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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 OpenQuestion graph.