Evidence map›Paper›PMID 30284016›Full record

ArticleDiabetologia2018

Detection and quantification of beta cells by PET imaging: why clinical implementation has never been closer.

Martin Gotthardt, Decio L Eizirik, Henk-Jan Aanstoot, Olle Korsgren, Dick Mul, Frank Martin, Marti Boss, Tom J P Jansen, Sanne A M van Lith, Mijke Buitinga and 3 more

Abstract readComment
In one paragraph

Article in Diabetologia, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. [Pharmaceutics · 2023
    Article
  2. Review
  3. Article
  4. Beta Cell Imaging-From Pre-Clinical Validation to First in Man Testing.International journal of molecular sciences · 2020
    Review
  5. Article
  6. Article
  7. Noninvasive longitudinal quantification of β-cell mass with [FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2019
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Martin GotthardtDepartment of Radiology and Nuclear Medicine, Radboud university medical centre, PO Box 9101, 6500 HB, Nijmegen, the Netherlands. martin.gotthardt@radboudumc.nl.
Decio L EizirikULB Center for Diabetes Research, Medical Faculty, Université Libre de Bruxelles, Brussels, Belgium.
Henk-Jan AanstootDiabeter, Center for Pediatric and Adolescent Diabetes Care and Research, Rotterdam, the Netherlands.
Olle KorsgrenRudbeck Laboratory, Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
Dick MulDiabeter, Center for Pediatric and Adolescent Diabetes Care and Research, Rotterdam, the Netherlands.
Frank MartinJDRF, New York, NY, USA.
Marti BossDepartment of Radiology and Nuclear Medicine, Radboud university medical centre, PO Box 9101, 6500 HB, Nijmegen, the Netherlands.
Tom J P JansenDepartment of Radiology and Nuclear Medicine, Radboud university medical centre, PO Box 9101, 6500 HB, Nijmegen, the Netherlands.
Sanne A M van LithDepartment of Radiology and Nuclear Medicine, Radboud university medical centre, PO Box 9101, 6500 HB, Nijmegen, the Netherlands.
Mijke BuitingaClinical and Experimental Endocrinology, University of Leuven, Leuven, Belgium.
Olof ErikssonDepartment of Medicinal Chemistry, Uppsala University, Uppsala, Sweden.
Miriam CnopULB Center for Diabetes Research, Medical Faculty, Université Libre de Bruxelles, Brussels, Belgium.
Maarten BromDepartment of Radiology and Nuclear Medicine, Radboud university medical centre, PO Box 9101, 6500 HB, Nijmegen, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this issue of Diabetologia, Alavi and Werner ( https://doi.org/10.1007/s00125-018-4676-1 ) criticise the attempts to use positron emission tomography (PET) for in vivo imaging of pancreatic beta cells, which they consider as 'futile'. In support of this strong statement, they point out the limitations of PET imaging, which they believe render beta cell mass impossible to estimate using this method. In our view, the Alavi and Werner presentation of the technical limitations of PET imaging does not reflect the current state of the art, which leads them to questionable conclusions towards the feasibility of beta cell imaging using this approach. Here, we put forward arguments in favour of continuing the development of innovative technologies enabling in vivo imaging of pancreatic beta cells and concisely present the current state of the art regarding putative technical limitations of PET imaging. Indeed, far from being a 'futile' effort, we demonstrate that beta cell imaging is now closer than ever to becoming a long-awaited clinical reality.

Indexed as

Insulin-Secreting CellsMedical FutilityPancreasPositron-Emission TomographyClinical diabetesImagingIsletsPET imaging

Identifiers

PMID30284016
PMCPMC6223852

What OpenQuestion holds

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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.