Evidence map›Paper›PMID 9179526›Full record

ReviewDrugs1997

Pharmacological approaches to the prevention of autoimmune diabetes.

W E Winter, D V House, D Schatz

Abstract readReview
PubMed Publisher
In one paragraph

Review in Drugs, 1997. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 43% of its field
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

0 citing papers in PubMed, 8 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 1 institution in 1 country.

W E WinterDepartment of Pediatrics, University of Florida, Gainesville 32610-0275, USA.
D V House
D Schatz
University of Florida · US

Funding

LINKAGE ANALYSIS OF GLUCOKINASE IN ATYPICAL DIABETESF32DK009207 · NIDDK · UNIVERSITY OF FLORIDA · PI HOUSE, DORLINDA VARGA · 1994 to 1996
–
NIDDK NIH HHS 1F32 DK09207-01
6 · The paper itself

Abstract

Insulin-dependent (type I) diabetes mellitus (IDDM) is the consequence of a chronic cell-mediated immune attack upon the insulin-producing beta-cells. Progressive insulinopenia is characteristic of individuals who eventually develop IDDM. Autoimmunity develops because of a failure in self-nonself discrimination. Autoimmunity is usually detected when autoantibodies are present in the patient's serum. However, autoantibodies are not synonymous with disease, as many autoantibody-positive individuals show no evidence of clinical disease. Studies initiated in the early 1980s demonstrated that short term remission from IDDM could be induced or lengthened with immunosuppressive therapy. However, no long term remissions were achieved. Current prevention strategies use a combination of autoantibody marker testing and beta-cell function testing to identify individuals with 'prediabetes'. The most useful autoantibodies for prediabetes screening include islet cell autoantibodies, insulin autoantibodies, glutamic acid decarboxylase autoantibodies and IA-2 autoantibodies. Immunointervention techniques have focused on protecting beta-cells from oxidative damage and developing tolerance to beta-cell autoantigens. Environmental manipulation may also be of benefit but its effectiveness is unproven. The pharmacist of the future may be involved in dispensing autoantigens, cytokines, anti-cytokine antibodies, anti-cytokine receptor antibodies, vaccines or viral vectors for gene therapy in the prevention of IDDM.

Indexed as

AutoantibodiesAutoantigensAutoimmune DiseasesAutoimmunityDiabetes Mellitus, Type 1HumansHypoglycemic AgentsImmunity, CellularPrediabetic StateAutoantibodiesAutoantigensHypoglycemic Agents

Identifiers

PMID9179526
OpenAlexW2035633025

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.