Evidence map›Paper›PMID 36309947›Full record

ArticleEndocrine2023

Filling the gap between the heart and the body in acromegaly: a case-control study.

Ivana Ságová, Milan Dragula, Marián Mokáň, Peter Vaňuga

Open access · hybridAbstract read
In one paragraph

Article in Endocrine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 25% 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

6 citing papers in PubMed, 6 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

4 authors at 3 institutions in 1 country.

Ivana SágováDepartment of Endocrinology, National Institute of Endocrinology and Diabetology, Ľubochňa, Slovakia. ivana.sagova1@gmail.com.ORCID 0000-0001-9120-8867
Milan DragulaCardiology clinic University Hospital Martin, Martin, Slovakia.
Marián MokáňComenius University Jessenius Faculty of Medicine, 1st Department of Internal Medicine, University Hospital Martin, Martin, Slovakia.
Peter VaňugaDepartment of Endocrinology, National Institute of Endocrinology and Diabetology, Ľubochňa, Slovakia.
Institute of Experimental Endocrinology of the Slovak Academy of Sciences · SKComenius University Bratislava · SKMartin University Hospital · SK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveCardiovascul diseases are the most common comorbidities in acromegaly. Potential parameters in pathology of cardiovascular comorbidities are changes in levels of growth hormone (GH) and insulin-like growth factor 1 (IGF-1) as well as body composition parameters. PURPOSE: The aim of this study was to examine morphological and functional parameters of the cardiovascular system by echocardiography and to assess its relationship with disease activity and body composition parameters.

methodsWe prospectively enroled 129 acromegalic patients (82 females, 47 males) and 80 healthy controls (53 females, 27 males) matched for age, gender, and BMI. All patients underwent two-dimensional echocardiography. Body composition parameters were assessed by dual-energy X-ray absorptiometry.

resultsAcromegaly patients presented with higher left ventricle mass (LVM) compared to controls (LVMI: 123 ± 45 g/m

conclusionOur study demonstrates higher prevalence of cardiovascular comorbidities in acromegaly patients and the impact of IGF-1 levels and body composition parameters in pathology in some of these comorbidities.

Indexed as

AcromegalyHuman Growth HormoneCase-Control StudiesFemaleGrowth HormoneHumansInsulin-Like Growth Factor IMaleGrowth HormoneHuman Growth HormoneInsulin-Like Growth Factor IAcromegalyDual-energy X-ray absorptiometryEchocardiographyInsulin-like growth factor 1

Identifiers

PMID36309947
PMCPMC9892104
OpenAlexW4307658740

What OpenQuestion holds

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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.