Evidence map›Paper›PMID 40123319›Full record

ArticleJournal of diabetes investigation2025

Analysis of the Japanese gestational diabetes mellitus diagnostic strategy during the coronavirus disease 2019 pandemic using DREAMBee study data.

Yoshifumi Kasuga, Kei Miyakoshi, Maki Yokoyama, Noriyuki Iwama, Raishi Ichikawa, Hiroshi Yamashita, Ichiro Yasuhi, Asami Ito, Hirohito Sone, Atsuko Abiko and 12 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 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

22 authors.

Yoshifumi KasugaDepartment of Obstetrics and Gynecology, Keio University School of Medicine, Shinjuku-ku, Tokyo, Japan.ORCID https://orcid.org/0000-0003-2395-9591
Kei MiyakoshiDepartment of Obstetrics and Gynecology, International Catholic Hospital, Shinjuku-ku, Tokyo, Japan.
Maki YokoyamaDepartment of Obstetrics and Gynecology, Ehime University Graduate School of Medicine, Toon, Ehime, Japan.ORCID https://orcid.org/0000-0001-7942-6677
Noriyuki IwamaCenter for Maternal and Perinatal Medicine, Tohoku University Hospital, Sendai, Miyagi, Japan.ORCID https://orcid.org/0000-0002-6808-0911
Raishi IchikawaDepartment of Endocrinology, Diabetes and Metabolism, Kitasato University School of Medicine, Sagamihara, Kanagawa, Japan.ORCID https://orcid.org/0000-0002-1576-2775
Hiroshi YamashitaDepartment of Obstetrics and Gynecology, NHO Nagasaki Medical Center, Omura-City, Nagasaki, Japan.
Ichiro YasuhiDepartment of Obstetrics and Gynecology, NHO Nagasaki Medical Center, Omura-City, Nagasaki, Japan.
Asami ItoPerinatal Medical Center, Hirosaki University Hospital, Hirosaki, Aomori, Japan.
Hirohito SoneDepartment of Internal Medicine, Faculty of Medicine, Niigata University, Niigata, Niigata, Japan.ORCID https://orcid.org/0000-0003-1263-2817
Atsuko AbikoDepartment of Diabetology and Endocrinology, Japanese Asahikawa Red Cross Hospital, Asahikawa, Hokkaido, Japan.
Shinichi HarashimaDepartment of Internal Medicine, Kyoto Goshominami Harashima Clinic, Nakagyo Ward, Kyoto, Japan.
Maki KawasakiDepartment of Health Policy, National Center for Child Health and Development, Tokyo, Japan.
Naoko ArataDivision of Maternal Medicine, National Center for Maternal-Fetal, Neonatal, and Reproductive Medicine, Tokyo, Japan.ORCID https://orcid.org/0000-0003-2667-7653
Shiori SatoDivision of Maternal Medicine, National Center for Maternal-Fetal, Neonatal, and Reproductive Medicine, Tokyo, Japan.ORCID https://orcid.org/0009-0005-5053-6641
Yuko IimuraDivision of Maternal Medicine, National Center for Maternal-Fetal, Neonatal, and Reproductive Medicine, Tokyo, Japan.
Masako WaguriDepartment of Obstetric Medicine, Osaka Women's and Children's Hospital, Izumi, Osaka, Japan.
Haruna KawaguchiDepartment of Obstetric Medicine, Osaka Women's and Children's Hospital, Izumi, Osaka, Japan.
Naoki MasaokaDepartment of Obstetrics and Gynecology, Tokyo Women's Medical University Yachiyo Medical Center, Yachiyo, Chiba, Japan.
Yoshiyuki NakajimaDepartment of Obstetrics and Gynecology, Tokyo Women's Medical University Yachiyo Medical Center, Yachiyo, Chiba, Japan.
Yuji HiramatsuOkayama City General Medial Center, Kita-ku, Okayama, Japan.
Takashi SugiyamaDepartment of Obstetrics and Gynecology, Ehime University Graduate School of Medicine, Toon, Ehime, Japan.ORCID https://orcid.org/0000-0002-3715-0075
DREAMBee Study Gestational Diabetes Mellitus Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

AIMS/

introductionWe evaluated a simple diagnostic gestational diabetes mellitus (GDM) strategy (Japanese COVID-19 GDM strategy) published by the Japanese Society of Diabetes and Pregnancy using GDM group data from the Diabetes and Pregnancy Outcomes for Mother and Baby (DREAMBee) study. MATERIALS AND

methodsThe study included 803 mothers with GDM diagnosed after 24 gestational weeks using an oral glucose tolerance test and 1,356 with normal glucose tolerance (NGT) from the DREMBee study. They were reclassified by the Japanese COVID-19 GDM strategies (COVID-19 GDM and COVID-19 NGT) using glycated hemoglobin (HbA1c) and random plasma glucose or fasting plasma glucose (FPG) levels. We evaluated the usefulness of the Japanese COVID-19 GDM strategy and investigated the parameters for diagnosing GDM managed with insulin therapy.

resultsParticipants (n = 2,159) were assigned to COVID-19 GDM (n = 413) and COVID-19 NGT (n = 1,746) groups. The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of the Japanese COVID-19 GDM strategy were 35.4, 90.5, 68.9, and 70.3%, respectively. When the risk factors for insulin therapy were analyzed using a regression model, HbA1c and FPG levels were risk factors for GDM with insulin therapy (P < 0.0001). The cut-off value of HbA1c was 5.4% (sensitivity, 0.69; specificity, 0.66; PPV, 0.11; NPV, 0.97), and that of FPG was 86 mg/dL (sensitivity, 0.60; specificity, 0.77; PPV, 0.16; NPV, 0.96).

conclusionsThe Japanese COVID-19 GDM strategy for GDM diagnosis after 24 weeks of gestation might be useful in emergency situations. However, further analysis of GDM outcomes diagnosed using this approach is necessary.

Indexed as

COVID-19Diabetes, GestationalAdultBlood GlucoseEast Asian PeopleFemaleGlucose Tolerance TestGlycated HemoglobinHumansJapanPredictive Value of TestsPregnancyBlood GlucoseGlycated Hemoglobinhemoglobin A1c protein, humanCOVID‐19Gestational diabetes mellitusHbA1c

Identifiers

PMID40123319
PMCPMC12131925

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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.