Evidence map›Paper›PMID 29275427›Full record

ReviewDiabetologia2018

Hope vs hype: where are we in type 1 diabetes?

Jay S Skyler

Abstract readReview
PubMed Publisher
In one paragraph

Review in Diabetologia, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
–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

27 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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  7. Article
  8. A gut microbial peptide and molecular mimicry in the pathogenesis of type 1 diabetes.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
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  11. Review
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  18. Review
  19. Persistent C-peptide is associated with reduced hypoglycaemia but not HbADiabetic medicine : a journal of the British Diabetic Association · 2019
    Article
  20. 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

1 author.

Jay S SkylerDiabetes Research Institute, University of Miami Miller School of Medicine, 1450 NW 10th Avenue - Suite 3054, Miami, FL, 33136, USA. jskyler@miami.edu.

Funding

Diabetes Research Institute Foundation n/a
6 · The paper itself

Abstract

Much progress has been made in type 1 diabetes research. Biological replacement of islet function has been achieved with pancreas transplantation and with islet transplantation. In the future, human embryonic stem cells and/or induced pluripotent stem cells may offer a potentially unlimited source of cells for islet replacement. Another potential strategy is to induce robust beta cell replication so that regeneration of islets can be achieved. Immune interventions are being studied with the hope of arresting the type 1 diabetes disease process to either prevent the disease or help preserve beta cell function. Mechanical replacement of islet cell function involves the use of glucose sensor-controlled insulin infusion systems. As all of these avenues are pursued, headlines often overstate the case, thus hyping any given advance, which provides enormous hope for patients and families seeking a cure for type 1 diabetes. Often, however, it is an animal study or a pilot trial that is being described. The reality is that translation to successful trials in human beings may not be readily achievable. This article discusses both the hype and the hopes in type 1 diabetes research.

Indexed as

AnimalsDiabetes Mellitus, Type 1HumansInsulin Infusion SystemsIslets of Langerhans TransplantationStem Cell TransplantationAutomated insulin deliveryImmune interventionIslet regenerationIslet replacement therapyReviewStem cellsType 1 diabetes

Identifiers

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.