Evidence map›Paper›PMID 39991726›Full record

ArticleExperimental and therapeutic medicine2025

Intravenous D‑allose administration improves blood glucose control by maintaining insulin secretion in diabetic mice with transplanted islets.

Seiji Noge, Kensuke Kumamoto, Hiroyuki Matsukawa, Yasuhisa Ando, Hironobu Suto, Akihiro Kondo, Takayoshi Kishino, Minoru Oshima, Yasuyuki Suzuki, Keiichi Okano

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In one paragraph

Article in Experimental and therapeutic medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Seiji NogeDepartment of Gastroenterological Surgery, Faculty of Medicine, Kagawa University, Miki, Kagawa 761-0793, Japan.
Kensuke KumamotoDepartment of Gastroenterological Surgery, Faculty of Medicine, Kagawa University, Miki, Kagawa 761-0793, Japan.
Hiroyuki MatsukawaDepartment of Gastroenterological Surgery, Faculty of Medicine, Kagawa University, Miki, Kagawa 761-0793, Japan.
Yasuhisa AndoDepartment of Gastroenterological Surgery, Faculty of Medicine, Kagawa University, Miki, Kagawa 761-0793, Japan.
Hironobu SutoDepartment of Gastroenterological Surgery, Faculty of Medicine, Kagawa University, Miki, Kagawa 761-0793, Japan.
Akihiro KondoDepartment of Gastroenterological Surgery, Faculty of Medicine, Kagawa University, Miki, Kagawa 761-0793, Japan.
Takayoshi KishinoDepartment of Gastroenterological Surgery, Faculty of Medicine, Kagawa University, Miki, Kagawa 761-0793, Japan.
Minoru OshimaDepartment of Gastroenterological Surgery, Faculty of Medicine, Kagawa University, Miki, Kagawa 761-0793, Japan.
Yasuyuki SuzukiDepartment of Gastroenterological Surgery, Faculty of Medicine, Kagawa University, Miki, Kagawa 761-0793, Japan.
Keiichi OkanoDepartment of Gastroenterological Surgery, Faculty of Medicine, Kagawa University, Miki, Kagawa 761-0793, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although pancreatic islet transplantation outcomes have improved, further refinements are required to extend the insulin withdrawal period. The present study examined whether intravenous D-allose administration improves insulin secretion when pancreatic islets are transplanted into type 1 diabetes model mice. Alterations in casual blood glucose levels, intraperitoneal glucose tolerance test (IPGGT) results, the number of apoptotic cells in the engrafted cells, and caspase 3, heme oxygenase 1 and nitric oxide synthase 2 (

Indexed as

D-allosediabetic miceimmunosuppressantislets transplantationtype 1 diabetes mellitus

Identifiers

PMID39991726
PMCPMC11843210

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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.