Evidence map›Paper›PMID 24968736›Full record

ArticleEndocrine2015

Relationship between autoantibodies combination, metabolic syndrome components and diabetic complications in autoimmune diabetes in adults.

Kristina Blaslov, Tomislav Bulum, Jadranka Knežević-Ćuća, Lea Duvnjak

Abstract read
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In one paragraph

Article in Endocrine, 2015. 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
0.9field-weighted citation impact, top 22% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
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  3. 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

4 authors at 1 institution in 1 country.

Kristina BlaslovVuk Vrhovac Clinic for Diabetes, Endocrinology and Metabolic Diseases, University Hospital Merkur, School of Medicine, University of Zagreb, 10000, Zagreb, Croatia, kblaslov@gmail.com.
Tomislav Bulum
Jadranka Knežević-Ćuća
Lea Duvnjak
University of Zagreb · HR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of our study was to establish the possible association between double or triple antibody positivity and latent autoimmune diabetes (LADA) phenotype in the context of metabolic syndrome (MS) prevalence and its individual components. This cross-sectional study population comprised 69 islet cell antibody-positive patients coming for their comprehensive annual review. They were divided into three groups according to antibody positivity. Twenty-five (36.2 %) were male, mean age of 51 years with disease duration of 8 years. Twenty-eight (40.58 %) were positive only for GAD Abs, 26 (37.68 %) were positive for ICA and GAD Abs and 15 (21.74 %) were positive for GAD, ICA, and IA2 Abs. The lowest value of waist circumference, MS, and artherial hypertension prevalence was found in the group positive for all three antibodies. In the multinomial multivariate logistic regression model, MS was negatively associated with triple Abs positivity compared to single Ab positivity and double Abs positivity. Our results highlight the importance of inverse association between simultaneous Abs positivity for ICA, GAD, and IA2 with the MS and its components present in LADA patients. This inverse relationship might implicate that LADA patients are phenotypically closer to T1DM. The contribution of IA2 Ab positivity merits is to be considered in the determination of LADA phenotypes, while its diagnostic value needs to be clarified in future follow-up studies.

Indexed as

AdultAgedAutoantibodiesCross-Sectional StudiesDiabetes ComplicationsDiabetes Mellitus, Type 1FemaleGlutamate DecarboxylaseHumansMaleMetabolic SyndromeMiddle AgedPhenotypeAutoantibodiesGlutamate DecarboxylaseICA512 autoantibodyislet cell antibody

Identifiers

PMID24968736
OpenAlexW2024062044

What OpenQuestion holds

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Read underepoch 390

Registered trials

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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.