Evidence map›Paper›PMID 32227311›Full record

SynthesisJournal of endocrinological investigation2020

Prevalence of other autoimmune diseases in polyglandular autoimmune syndromes type II and III.

G Pham-Dobor, L Hanák, P Hegyi, K Márta, A Párniczky, M Gergics, P Sarlós, B Erőss, E Mezősi

Open access · hybridAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Journal of endocrinological investigation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
3.8field-weighted citation impact, top 5% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 43 citations in OpenAlex.

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  14. Guillain-Barré syndrome and myasthenia gravis in the context of autoimmune polyendocrine syndrome type III.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2021
    Article
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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

9 authors at 2 institutions in 1 country.

G Pham-DoborFirst Department of Medicine, Medical School, University of Pécs, 13 Ifjúság, Pecs, 7624, Hungary.
L HanákInstitute for Translational Medicine, Medical School, University of Pécs, Pecs, Hungary.
P HegyiFirst Department of Medicine, Medical School, University of Pécs, 13 Ifjúság, Pecs, 7624, Hungary.
K MártaInstitute for Translational Medicine, Medical School, University of Pécs, Pecs, Hungary.
A PárniczkyInstitute for Translational Medicine, Medical School, University of Pécs, Pecs, Hungary.
M GergicsFirst Department of Medicine, Medical School, University of Pécs, 13 Ifjúság, Pecs, 7624, Hungary.
P SarlósFirst Department of Medicine, Medical School, University of Pécs, 13 Ifjúság, Pecs, 7624, Hungary.
B ErőssFirst Department of Medicine, Medical School, University of Pécs, 13 Ifjúság, Pecs, 7624, Hungary.
E MezősiFirst Department of Medicine, Medical School, University of Pécs, 13 Ifjúság, Pecs, 7624, Hungary. mezosi.emese@pte.hu.ORCID http://orcid.org/0000-0001-9367-3877
University of Pecs · HUHeim Pál Országos Gyermekgyógyászati Intézet · HU

Funding

Economic Development and Innovation Operative Program Grant GINOP 2.3.2-15- 2016-00048Higher Education Institutional Excellence Programme Grant of the Ministry for Innovation and Technology in Hungary within the framework of the second thematic programme of the University of Pécs 2Human Resources Development Operational Programme Grant EFOP-3.6.2-16-2017-00006
6 · The paper itself

Abstract

purposePolyglandular autoimmune syndromes (PAS) are complex, heterogeneous disorders in which various autoimmune diseases can occur, affecting both endocrine and non-endocrine organs. In this meta-analysis, the prevalence of associated autoimmune disorders was investigated in PAS II and III.

methodsA comprehensive search in MEDLINE and Embase databases identified 479 studies with the keywords of PAS II and PAS III. 18 records containing a total of 1312 patients fulfilled our inclusion criteria (original studies reporting at least 10 cases and containing the combination of other autoimmune disorders) and were selected for further analysis. A meta-analysis of prevalence was performed using the random-effects model with the calculation of 95% confidence intervals (CI). Results of each meta-analysis were displayed graphically using forest plots.

resultsDistinction between PAS II and PAS III was made in 842 cases, of which 177 and 665 were PAS II and III (21.1 vs 78.9%), respectively. The prevalence of Hashimoto's thyroiditis was significantly higher than that of Graves's disease (39% [95% CI 17-65%] vs. 4% [95% CI 0-10%], respectively; p = 0.001). In PAS II, Addison's disease (AD) coexisted with AITDs, T1DM or the combination of these conditions in 65, 18 and 10% of cases, respectively. In addition, one other endocrine and five non-endocrine organ-specific autoimmune disorders were reported. In PAS III, two other autoimmune endocrinopathies, six non-endocrine organ-specific, and four systemic autoimmune disorders were found in combination with AITDs.

conclusionsAITDs, T1DM and AD are the most common combinations in PAS, thus screening for these conditions seems to be reasonable.

Indexed as

Addison DiseaseAdolescentAdultAgedAged, 80 and overAutoimmune DiseasesChildChild, PreschoolComorbidityDiabetes Mellitus, Type 1FemaleGraves DiseaseHashimoto DiseaseHumansMaleMiddle AgedAddison’s diseaseAutoimmune thyroid diseaseDiabetes mellitusMeta-analysisPolyglandular autoimmune syndrome

Identifiers

PMID32227311
PMCPMC7431444
OpenAlexW3014090163

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.