Evidence map›Paper›PMID 21292721›Full record

SynthesisBMJ (Clinical research ed.)2011

Enterovirus infection and type 1 diabetes mellitus: systematic review and meta-analysis of observational molecular studies.

Wing-Chi G Yeung, William D Rawlinson, Maria E Craig

Open access · bronzeAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in BMJ (Clinical research ed.), 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 246 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
246citing papers in PubMed, 7 pooled it
37.2field-weighted citation impact, top 1% 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

246 citing papers in PubMed, 7 syntheses or guidelines pooled it, 499 citations in OpenAlex.

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  4. Association BetweenFrontiers in endocrinology · 2021
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186 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Wing-Chi G YeungFaculty of Medicine, University of New South Wales, Sydney, NSW 2052, Australia.
William D Rawlinson
Maria E Craig
UNSW Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo review the association between current enterovirus infection diagnosed with molecular testing and development of autoimmunity or type 1 diabetes.

designSystematic review and meta-analysis of observational studies, analysed with random effects models. DATA SOURCES: PubMed (until May 2010) and Embase (until May 2010), no language restrictions, studies in humans only; reference lists of identified articles; and contact with authors. Study eligibility criteria Cohort or case-control studies measuring enterovirus RNA or viral protein in blood, stool, or tissue of patients with pre-diabetes and diabetes, with adequate data to calculate an odds ratio and 95% confidence intervals.

resultsThe 24 papers and two abstracts (all case-control studies) that met the eligibility criteria included 4448 participants. Study design varied greatly, with a high level of statistical heterogeneity. The two separate outcomes were diabetes related autoimmunity or type 1 diabetes. Meta-analysis showed a significant association between enterovirus infection and type 1 diabetes related autoimmunity (odds ratio 3.7, 95% confidence interval 2.1 to 6.8; heterogeneity χ(2)/df = 1.3) and clinical type 1 diabetes (9.8, 5.5 to 17.4; χ(2)/df = 3.2).

conclusionsThere is a clinically significant association between enterovirus infection, detected with molecular methods, and autoimmunity/type 1 diabetes. Larger prospective studies would be needed to establish a clear temporal relation between enterovirus infection and the development of autoimmunity and type 1 diabetes.

Indexed as

AutoantibodiesDiabetes Mellitus, Type 1Enterovirus InfectionsEpidemiologic MethodsHumansAutoantibodies

Identifiers

PMID21292721
PMCPMC3033438
OpenAlexW2043012291

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.