Evidence map›Paper›PMID 22124438›Full record

ReviewNature reviews. Endocrinology2011

The role of pancreatic imaging in monogenic diabetes mellitus.

Ingfrid S Haldorsen, Helge Ræder, Mette Vesterhus, Anders Molven, Pål R Njølstad

Registry-linked trialAbstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Endocrinology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03396146 (Assay for the Pancreatic Polypeptide), which is not on this map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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.

NCT03396146 nacompletednot on this mapstarted 2018, after this paper: background citation

Assay for the Pancreatic Polypeptide: an Help for Clinical Practice Guidelines in Classification of the Diabetes

TypeinterventionalSponsorAssistance Publique - Hôpitaux de ParisRan2018 to 2019Enrolled36ConditionsType1diabetesArms12 ml total blood tubes volume, Fecal sample
3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

  1. Clinical kidney journal · 2026
    Review
  2. Review
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  4. Review
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  6. Case Report: HomozygousFrontiers in endocrinology · 2021
    Article
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  8. Article
  9. Article
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  11. Article
  12. Article
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  14. Article
  15. Article
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

5 authors.

Ingfrid S HaldorsenDepartment of Radiology, Haukeland University Hospital, N-5021 Bergen, Norway.
Helge Ræder
Mette Vesterhus
Anders Molven
Pål R Njølstad

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In neonatal diabetes mellitus resulting from mutations in EIF2AK3, PTF1A, HNF1B, PDX1 or RFX6, pancreatic aplasia or hypoplasia is typical. In maturity-onset diabetes mellitus of the young (MODY), mutations in HNF1B result in aplasia of pancreatic body and tail, and mutations in CEL lead to lipomatosis. The pancreas is not readily accessible for histopathological investigations and pancreatic imaging might, therefore, prove important for diagnosis, treatment, and research into these β-cell diseases. Advanced imaging techniques can identify the pancreatic features that are characteristic of inherited diabetes subtypes, including alterations in organ size (diffuse atrophy and complete or partial pancreatic agenesis), lipomatosis and calcifications. Consequently, in patients with suspected monogenic diabetes mellitus, the results of pancreatic imaging could help guide the molecular and genetic investigation. Imaging findings also highlight the critical roles of specific genes in normal pancreatic development and differentiation and provide new insight into alterations in pancreatic structure that are relevant for β-cell disease.

Indexed as

AnimalsCalcinosisDiabetes MellitusDiagnostic ImagingHumansInsulin-Secreting CellsLipomatosisMutationPancreatic Diseases

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.