Evidence map›Paper›PMID 23371411›Full record

ArticleInflammation2013

Association between IL-6 concentration and diabetes-related variables in DM1 patients with and without microvascular complications.

Malgorzata Wegner, Aleksandra Araszkiewicz, Maria Piorunska-Stolzmann, Bogna Wierusz-Wysocka, Dorota Zozulinska-Ziolkiewicz

Open access · hybridAbstract read
In one paragraph

Article in Inflammation, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
3.5field-weighted citation impact, top 8% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 48 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Malgorzata WegnerLipid Metabolism Laboratory, Department of Chemistry and Clinical Biochemistry, Poznan University of Medical Sciences, Grunwaldzka Street 6, 60-780 Poznan, Poland. malgoweg@ump.edu.pl
Aleksandra Araszkiewicz
Maria Piorunska-Stolzmann
Bogna Wierusz-Wysocka
Dorota Zozulinska-Ziolkiewicz
Poznan University of Medical Sciences · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Interleukin 6 (IL-6) plays an important role in the initiation and acceleration of chronic inflammation and could contribute to development of microvascular complications in patients with type 1 diabetes (DM1). Therefore, this study was aimed to investigate the association between concentration of IL-6 in relation to glucose control, lipid profile, and body mass index (BMI) in 69 DM1 patients subdivided according to the absence or presence of microvascular complications. BMI, level of fasting plasma glucose (FPG), and concentrations of total cholesterol (TCH), LDL cholesterol (LDL-C), and IL-6 were higher in DM1 patients compared to the control group. In DM1 patients, IL-6 concentration was positively correlated with level of FPG, LDL-C, TCH concentrations, and BMI. These correlations were stronger in the subgroup of patients with microvascular complications. In addition, BMI independently influences IL-6 concentration in DM1 patients. In conclusion, elevated IL-6 concentration is associated with diabetes-related variables which could accelerate progression of microvascular complications in DM1 patients.

Indexed as

AdultBlood GlucoseBody Mass IndexCholesterol, HDLCholesterol, LDLDiabetes Mellitus, Type 1Diabetic AngiopathiesFemaleHumansInflammationInterleukin-6MaleTriglyceridesBlood GlucoseCholesterol, HDLCholesterol, LDLInterleukin-6Triglycerides

Identifiers

PMID23371411
PMCPMC3648680
OpenAlexW1973214538

What OpenQuestion holds

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LicenceCC BY-NC
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.