Evidence map›Paper›PMID 38451108›Full record

ArticleJournal of diabetes investigation2024

Prediction of future insulin-deficiency in glutamic acid decarboxylase autoantibody enzyme-linked immunosorbent assay-positive patients with slowly-progressive type 1 diabetes.

Eiji Kawasaki, Takuya Awata, Hiroshi Ikegami, Akihisa Imagawa, Yoichi Oikawa, Haruhiko Osawa, Takeshi Katsuki, Norio Kanatsuna, Ryoichi Kawamura, Junji Kozawa and 20 more

Open access · goldAbstract read
In one paragraph

Article in Journal of diabetes investigation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.8field-weighted citation impact, top 10% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Update on slowly progressive type 1 diabetes.Journal of diabetes investigation · 2025
    Article
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

30 authors at 18 institutions in 2 countries.

Eiji KawasakiDiabetes Center, Shin-Koga Hospital, Kurume, Japan.ORCID https://orcid.org/0000-0001-7434-4744
Takuya AwataPancreatic Islet Cell Transplantation Center, National Center for Global Health and Medicine, Tokyo, Japan.
Hiroshi IkegamiDepartment of Endocrinology, Metabolism and Diabetes, Kindai University Faculty of Medicine, Osaka, Japan.ORCID https://orcid.org/0000-0001-8808-4605
Akihisa ImagawaDepartment of Internal Medicine (I), Osaka Medical and Pharmaceutical University, Takatsuki, Japan.ORCID https://orcid.org/0000-0002-4213-3229
Yoichi OikawaDepartment of Endocrinology and Diabetes, School of Medicine, Saitama Medical University, Iruma, Japan.ORCID https://orcid.org/0000-0003-1524-6751
Haruhiko OsawaDepartment of Diabetes and Molecular Genetics, Ehime University Graduate School of Medicine, Toon, Japan.
Takeshi KatsukiDepartment of Diabetes and Endocrinology, Tokyo Saiseikai Central Hospital, Tokyo, Japan.ORCID https://orcid.org/0000-0002-4355-0446
Norio KanatsunaDepartment of Internal Medicine (I), Osaka Medical and Pharmaceutical University, Takatsuki, Japan.
Ryoichi KawamuraDepartment of Diabetes and Molecular Genetics, Ehime University Graduate School of Medicine, Toon, Japan.
Junji KozawaDepartment of Metabolic Medicine, Graduate School of Medicine, Osaka University, Suita, Japan.ORCID https://orcid.org/0000-0001-9665-8947
Noriko KodaniDepartment of Diabetes, Endocrinology, and Metabolism, Center Hospital of the National Center for Global Health and Medicine, Tokyo, Japan.ORCID https://orcid.org/0000-0002-4443-1545
Tetsuro KobayashiOkinaka Memorial Institute for Medical Research, Tokyo, Japan.ORCID https://orcid.org/0000-0002-4364-2527
Akira ShimadaDepartment of Endocrinology and Diabetes, School of Medicine, Saitama Medical University, Iruma, Japan.ORCID https://orcid.org/0000-0002-3954-4983
Masayuki ShimodaPancreatic Islet Cell Transplantation Center, National Center for Global Health and Medicine, Tokyo, Japan.ORCID https://orcid.org/0000-0002-0338-0008
Kazuma TakahashiIwate Prefectural University, Takizawa, Japan.
Daisuke ChujoCenter for Clinical Research, Toyama University Hospital, Toyama, Japan.ORCID https://orcid.org/0000-0001-7727-6310
Tetsuro TsujimotoDepartment of Diabetes and Endocrinology, Toranomon Hospital Kajigaya, Kawasaki, Japan.ORCID https://orcid.org/0000-0002-0230-1718
Kyoichiro TsuchiyaDepartment of Diabetes and Endocrinology, University of Yamanashi Hospital, Yamanashi, Japan.ORCID https://orcid.org/0000-0002-2863-4561
Aiko TerakawaDepartment of Diabetes, Endocrinology, and Metabolism, Center Hospital of the National Center for Global Health and Medicine, Tokyo, Japan.
Jungo TerasakiDepartment of Internal Medicine (I), Osaka Medical and Pharmaceutical University, Takatsuki, Japan.
Kan NagasawaDivision of Diabetes, Metabolism and Endocrinology, Department of Internal Medicine, Iwate Medical University, Yahaba, Japan.
Shinsuke NosoDepartment of Endocrinology, Metabolism and Diabetes, Kindai University Faculty of Medicine, Osaka, Japan.ORCID https://orcid.org/0000-0002-0943-8450
Tomoyasu FukuiDivision of Diabetes and Endocrinology, Showa University School of Medicine, Tokyo, Japan.
Ichiro HorieDepartment of Endocrinology and Metabolism, Nagasaki University Hospital, Nagasaki, Japan.ORCID https://orcid.org/0000-0003-3430-5796
Kazuki YasudaDepartment of Diabetes, Endocrinology, and Metabolism, Kyorin University, Mitaka, Japan.
Hisafumi YasudaDivision of Health Sciences, Department of Public Health, Kobe University Graduate School of Health Sciences, Kobe, Japan.
Hidekatsu YanaiDepartment of Endocrinology and Metabolism, Kohnodai Hospital, National Center for Global Health and Medicine, Ichikawa, Japan.
Toshiaki HanafusaSakai City Medical Center, Sakai, Japan.
Hiroshi KajioDepartment of Diabetes, Endocrinology, and Metabolism, Center Hospital of the National Center for Global Health and Medicine, Tokyo, Japan.
Japanese Type 1 Diabetes Database Study (TIDE‐J)
National Center for Global Health and Medicine · JPOsaka University of Pharmaceutical Sciences · JPEhime University · JPKindai University · JPSaitama Medical University · JPHyogo University of Health Sciences · JPIwate Medical University · JPIwate Prefectural University · JPKoga Hospital · JPKyorin University · JPNagasaki University Hospital · JPSaiseikai Central Hospital · JPSakai Municipal Hospital · JPShowa University · JPThe University of Osaka · JPToranomon Hospital · JPToyama University Hospital · JPUniversity of Yamanashi Hospital · JP

Funding

The National Center for Global Health and Medicine 19A1008
6 · The paper itself

Abstract

AIMS/

introductionThis study aimed to identify risk factors that contribute to the progression of slowly-progressive type 1 diabetes by evaluating the positive predictive value (PPV) of factors associated with the progression to an insulin-dependent state. MATERIALS AND

methodsWe selected 60 slowly-progressive type 1 diabetes patients who tested positive for glutamic acid decarboxylase autoantibodies (GADA) at diagnosis from the Japanese Type 1 Diabetes Database Study. GADA levels in these patients were concurrently measured using both radioimmunoassay (RIA) and enzyme-linked immunosorbent assay (ELISA) techniques.

resultsCompared with the non-progressor group (fasting C-peptide [F-CPR] levels maintained ≥0.6 ng/mL), the progressor group showed a younger age at diagnosis, lower body mass index (BMI), lower F-CPR levels and a higher prevalence of insulinoma-associated antigen-2 autoantibodies (IA-2A). The PPV of RIA-GADA increased from 56.3 to 70.0% in the high titer group (≥10 U/mL), and further increased to 76.9, 84.2, 81.0 and 75.0% when combined with specific thresholds for age at diagnosis <47 years, BMI <22.6 kg/m

conclusionsOur findings show that, unlike RIA-GADA, ELISA-GADA shows no association between GADA titers and the risk of progression to an insulin-dependent state. The PPV improves when age at diagnosis, BMI and F-CPR levels are considered in combination.

Indexed as

AutoantibodiesDiabetes Mellitus, Type 1Disease ProgressionEnzyme-Linked Immunosorbent AssayGlutamate DecarboxylaseAdolescentAdultC-PeptideFemaleHumansInsulinMaleMiddle AgedPredictive Value of TestsPrognosisRisk FactorsAutoantibodiesC-PeptideGlutamate DecarboxylaseInsulinGlutamic acid decarboxylasePredictionSlowly‐progressive type 1 diabetes

Identifiers

PMID38451108
PMCPMC11215668
OpenAlexW4392561665

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.