Evidence map›Paper›PMID 41251089›Full record

ArticleCell transplantation

Standardized dynamic glucose testing reveals donor-dependent heterogeneity in human islet function.

Priyadarshini Gnanasekar, Chiara Saponaro, Markus Mühlemann, Chimene Amayene Amassogo, Anais Coddeville, Julien Thevenet, Nathalie Delalleau, Pauline Petit, Arnaud Hanssen, Gianni Pasquetti and 9 more

Erratum issuedAbstract read
In one paragraph

Article in Cell transplantation. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors.

Priyadarshini GnanasekarInserm U1190, CHU Lille, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, Univ. Lille, Lille, France.ORCID 0009-0001-7094-3093
Chiara SaponaroInserm U1190, CHU Lille, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, Univ. Lille, Lille, France.ORCID 0000-0001-7336-7362
Markus MühlemannInserm U1190, CHU Lille, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, Univ. Lille, Lille, France.ORCID 0000-0002-8323-7331
Chimene Amayene AmassogoInserm U1190, CHU Lille, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, Univ. Lille, Lille, France.
Anais CoddevilleInserm U1190, CHU Lille, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, Univ. Lille, Lille, France.
Julien ThevenetInserm U1190, CHU Lille, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, Univ. Lille, Lille, France.ORCID 0000-0001-6873-8640
Nathalie DelalleauInserm U1190, CHU Lille, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, Univ. Lille, Lille, France.
Pauline PetitInserm U1190, CHU Lille, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, Univ. Lille, Lille, France.
Arnaud HanssenInserm U1190, CHU Lille, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, Univ. Lille, Lille, France.
Gianni PasquettiInserm U1190, CHU Lille, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, Univ. Lille, Lille, France.
Valentin LericqueInserm U1190, CHU Lille, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, Univ. Lille, Lille, France.
Mikael ChetbounInserm U1190, CHU Lille, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, Univ. Lille, Lille, France.
Violeta RaverdyInserm U1190, CHU Lille, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, Univ. Lille, Lille, France.
Isabel Gonzalez-MariscalInserm U1190, CHU Lille, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, Univ. Lille, Lille, France.
Marie-Christine VantyghemInserm U1190, CHU Lille, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, Univ. Lille, Lille, France.ORCID 0000-0002-9369-0463
Caroline BonnerInserm U1190, CHU Lille, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, Univ. Lille, Lille, France.ORCID 0000-0002-4430-8280
François PattouInserm U1190, CHU Lille, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, Univ. Lille, Lille, France.
Julie Kerr-ConteInserm U1190, CHU Lille, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, Univ. Lille, Lille, France.
Valery GmyrInserm U1190, CHU Lille, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, Univ. Lille, Lille, France.ORCID 0000-0003-1236-359X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glucose-stimulated insulin secretion (GSIS) testing of isolated islets of Langerhans is crucial for assessing β-cell function, yet protocol variability complicates result interpretation. This study investigated insulin secretion heterogeneity across 576 donors and examined the influence of donor characteristics on secretory responses. We compared static incubation (

Indexed as

GlucoseIslets of LangerhansAdultAgedBody Mass IndexDiabetes Mellitus, Type 2FemaleGlycated HemoglobinHumansInsulinInsulin SecretionMaleMiddle AgedTissue DonorsGlucoseGlycated HemoglobinInsulinGSISinsulin secretionislet transplantationperifusion

Identifiers

PMID41251089
PMCPMC12535635

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.