Evidence map›Paper›PMID 32769118›Full record

ArticleDiabetes2020

Generation and Characterization of a Novel Mouse Model That Allows Spatiotemporal Quantification of Pancreatic β-Cell Proliferation.

Shinsuke Tokumoto, Daisuke Yabe, Hisato Tatsuoka, Ryota Usui, Muhammad Fauzi, Ainur Botagarova, Hisanori Goto, Pedro Luis Herrera, Masahito Ogura, Nobuya Inagaki

Abstract read
In one paragraph

Article in Diabetes, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

10 authors.

Shinsuke TokumotoDepartment of Diabetes, Endocrinology and Nutrition, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Daisuke YabeDepartment of Diabetes, Endocrinology and Nutrition, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Hisato TatsuokaDepartment of Diabetes, Endocrinology and Nutrition, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Ryota UsuiDepartment of Diabetes, Endocrinology and Nutrition, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Muhammad FauziDepartment of Diabetes, Endocrinology and Nutrition, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Ainur BotagarovaDepartment of Diabetes, Endocrinology and Nutrition, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Hisanori GotoDepartment of Diabetes, Endocrinology and Nutrition, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Pedro Luis HerreraDepartment of Genetic Medicine and Development, University of Geneva Medical School, Geneva, Switzerland.
Masahito OguraDepartment of Diabetes, Endocrinology and Nutrition, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Nobuya InagakiDepartment of Diabetes, Endocrinology and Nutrition, Graduate School of Medicine, Kyoto University, Kyoto, Japan inagaki@kuhp.kyoto-u.ac.jp.ORCID 0000-0001-8261-2593

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pancreatic β-cell proliferation has been gaining much attention as a therapeutic target for the prevention and treatment of diabetes. In order to evaluate potential β-cell mitogens, accurate and reliable methods for the detection and quantification of the β-cell proliferation rate are indispensable. In this study, we developed a novel tool that specifically labels replicating β-cells as mVenus

Indexed as

AnimalsCell ProliferationDiet, High-FatFemaleGene Expression RegulationInsulin-Secreting CellsMaleMiceMice, Inbred StrainsObesityPeptidesPregnancyPeptidesS961 peptide

Identifiers

PMID32769118
PMCPMC7576556

What OpenQuestion holds

Textmetadata
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.