Evidence map›Paper›PMID 12466001›Full record

ReviewDrugs2002

Prospects for the prevention and reversal of type 1 diabetes mellitus.

Nikolai Petrovsky, Diego Silva, Desmond A Schatz

Abstract readReview
PubMed Publisher
In one paragraph

Review in Drugs, 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. 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. Review
  2. New potential treatments for protection of pancreatic B-cell function in Type 1 diabetes.Diabetic medicine : a journal of the British Diabetic Association · 2008
    Review
  3. Existence of islet regenerating factors within the pancreas.The review of diabetic studies : RDS · 2004
    Article
  4. 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

3 authors.

Nikolai PetrovskyAutoimmunity Research Unit, Canberra Hospital and Medical Informatics Centre, University of Canberra, ACT, Australia. nikolai.petrovsky@anu.edu.au
Diego Silva
Desmond A Schatz

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Type 1 (insulin-dependent) diabetes mellitus results from selective immune-mediated destruction of pancreatic islet beta cells. Strategies to prevent or reverse the development of diabetes can be divided into three groups, depending on whether they focus on beta-cell protection, regeneration or replacement. Prevention of immune beta-cell destruction involves either halting the immune attack directed against beta cells or making beta cells better able to withstand immune attack, for example, by making them resistant to free radical damage. The recent identification of beta-cell growth factors and development of stem cell technologies provides an alternative route to the reversal of diabetes, namely beta-cell regeneration. Interestingly, stem cell-derived islets appear to be less sensitive to recurrent immune destruction that is normally seen in response to islet transplantation. The last alternative is beta-cell replacement or substitution. This covers a wide range of interventions including human whole pancreas transplantation, xenotransplantation, genetically modified beta cells, mechanical insulin sensing and delivery devices, and the artificial pancreas. This review describes recent advances in each of these research areas and aims to provide clinicians with an idea of where and when an effective strategy to prevent or reverse diabetes development will become available.

Indexed as

Adjuvants, ImmunologicAnimalsDiabetes Mellitus, Type 1HumansImmunosuppressive AgentsImmunotherapyIslets of Langerhans TransplantationPancreas TransplantationStem Cell TransplantationAdjuvants, ImmunologicImmunosuppressive Agents

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.