ArticleDiabetologia2019
Fostering improved human islet research: a European perspective.
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In one paragraph
Article in Diabetologia, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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.
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.
Who cites it
11 citing papers in PubMed.
- From pancreas and islet resources to diabetes insights.Diabetologia · 2026Review
- Epigenetic landscapes in human pancreatic islets reveal distinct drivers for adaptation to age and type 2 diabetes.Nature communications · 2026Article
- Human research islet cell culture outcomes at the Alberta Diabetes Institute IsletCore.Islets · 2024Article
- HumanIslets: An integrated platform for human islet data access and analysis.bioRxiv : the preprint server for biology · 2024Article
- Bridging the Gap: Pancreas Tissue Slices From Organ and Tissue Donors for the Study of Diabetes Pathogenesis.Diabetes · 2024Review
- Every islet matters: improving the impact of human islet research.Nature metabolism · 2022Review
- The Human Islet: Mini-Organ With Mega-Impact.Endocrine reviews · 2021Review
- The interaction between metabolic syndrome and physical activity, and risk for gestational diabetes mellitus.Acta diabetologica · 2021Article
- Collaboration for rare diabetes: understanding new treatment options for Wolfram syndrome.Endocrine · 2021Review
- Organisation of the human pancreas in health and in diabetes.Diabetologia · 2020Review
- Pancreatic Islet Transcriptional Enhancers and Diabetes.Current diabetes reports · 2019Review
Corrections and comments
- Comment on
Authors and funding
22 authors.
Piero MarchettiDepartment of Clinical and Experimental Medicine, Cisanello University Hospital, via Paradisa 2, 56126, Pisa, Italy. piero.marchetti@med.unipi.it.
Anke M SchulteSanofi-Aventis Deutschland GmbH, Diabetes Research, Industriepark Höchst, Frankfurt am Main, Germany.
Lorella MarselliDepartment of Clinical and Experimental Medicine, Cisanello University Hospital, via Paradisa 2, 56126, Pisa, Italy.
Eyke SchonigerPaul Langerhans Institute Dresden of the Helmholtz Center Munich at University Hospital Carl Gustav Carus and Faculty of Medicine, Dresden, Germany.
Marco BuglianiDepartment of Clinical and Experimental Medicine, Cisanello University Hospital, via Paradisa 2, 56126, Pisa, Italy.
Werner KramerSanofi-Aventis Deutschland GmbH, Diabetes Research, Industriepark Höchst, Frankfurt am Main, Germany.
Lut OverberghClinical and Experimental Endocrinology, University Hospital Gasthuisberg, Leuven, Belgium.
Susanne UllrichInstitute for Diabetes Research and Metabolic Diseases of the Helmholtz Center Munich at the Eberhard Karls University of Tübingen, Tübingen, Germany.
Anna L GloynOxford Centre for Diabetes Endocrinology and Metabolism, University of Oxford, Oxford, UK.
Mark IbbersonVital-IT Group, SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland.
Guy RutterSection of Cell Biology and Functional Genomics, Division of Diabetes, Endocrinology and Metabolism, Imperial College, London, UK.
Philippe FroguelDepartment of Genomics of Common Disease, School of Public Health, Imperial College, London, UK.
Leif GroopDepartment of Clinical Sciences, Faculty of Medicine, Lund University, Malmö, Sweden.
Mark I McCarthyOxford Centre for Diabetes Endocrinology and Metabolism, University of Oxford, Oxford, UK.
Francesco DottaDepartment of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy.
Raphael ScharfmannINSERM, Cochin Institute, Paris Descartes University, Paris, France.
Christophe MagnanUnité de Biologie Fonctionnelle et Adaptative, Université Paris Diderot, Paris, France.
Decio L EizirikULB Center for Diabetes Research, Medical Faculty, Université Libre de Bruxelles, Brussels, Belgium.
Chantal MathieuClinical and Experimental Endocrinology, University Hospital Gasthuisberg, Leuven, Belgium.
Miriam CnopULB Center for Diabetes Research, Medical Faculty, Université Libre de Bruxelles, Brussels, Belgium.
Bernard ThorensCentre for Integrative Genomics, University of Lausanne, Lausanne, Switzerland.
Michele SolimenaPaul Langerhans Institute Dresden of the Helmholtz Center Munich at University Hospital Carl Gustav Carus and Faculty of Medicine, Dresden, Germany.
Funding
Identifying variants causal for Type 2 Diabetes in Major human populationsU01DK085545 · NIDDK · UNIVERSITY OF OXFORD · PI CHAN, JULIANA CN, EBRAHIM, SHAH BRIAN · 2009 to 2013
$2.8MIntegrating genome-scale data to reveal causal mechanisms in type 2 diabetesU01DK105535 · NIDDK · UNIVERSITY OF OXFORD · PI GLOYN, ANNA LOUISE · 2015 to 2019
$1.7MMedical Research Council MR/L020149/1NIDDK NIH HHS U01 DK085545NIDDK NIH HHS U01 DK105535Wellcome Trust 095101Wellcome Trust 098381Wellcome Trust 106130Wellcome Trust 200837Wellcome Trust 200837/Z/16/ZWellcome Trust 203141
Abstract
PubMed holds no abstract for this paper.
Indexed as
Insulin-Secreting CellsIslets of LangerhansHumansBeta cellsDiabetes researchHuman islets
Identifiers
What OpenQuestion holds
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LicenceCC BY
Read underepoch 390
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.