Evidence map›Paper›PMID 28012071›Full record

ArticleJournal of endocrinological investigation2017

Depression contributing to dyslipidemic cardiovascular risk in the metabolic syndrome.

A V Lemche, O S Chaban, E Lemche

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of endocrinological investigation, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 23% 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

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

  1. Pooled it
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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

3 authors at 3 institutions in 3 countries.

A V LemcheInstitute of Clinical Research, Berlin, Germany.
O S ChabanSection of Psychosomatic Medicine, Bogomolets National Medical University, Kiev, Ukraine.
E LemcheSection of Cognitive Neuropsychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, Box PO 69, De Crespigny Park, London, SE5 8AF, UK. erwin.lemche@kcl.ac.uk.ORCID http://orcid.org/0000-0002-0322-0530
Bogomolets National Medical University · UAInstitute of Clinical Cancer Research · DEKing's College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTriglycerides are considered an emerging risk factor for cardiovascular mortality. Recent evidence relating depression and metabolic syndrome (MetS) implicated triglyceride levels. We thus investigated interrelations of self-reported depression severity (Zung) and MetS-related biological measures with CVD risk estimates in MetS patients.

methodsN = 101 patients fulfilling International Diabetes Federation criteria for MetS from a nationwide sampled treatment cohort for MetS with familial T2DM risk or manifest T2DM in a Ukrainian governmental health care system were participants. Both laboratory and non-laboratory measures were included. Recent European cardiological SCORE system CVD risk estimates were used as outcome variables.

resultsFollowing correlation matrix, we entered all variables into principal component analysis (PCA; 76.7% explained variance), followed by hierarchical regression and structural equation modeling (SEM). The PCA suggested a one-factor solution, where the latent variable showed highest loadings of SCORE risk estimates, triglycerides, depression severity, and pulse pressure. A comprehensive SEM was adjusted with 92.7% explained variance: overall CVD risk related to depression, pulse pressure, triglycerides, and fasting glucose.

conclusionThe findings in this MetS sample suggest that triglycerides and depression severity are the key variables among MetS biomarkers in cross-sectionally associating with the fatal and total SCORE risk estimates in MetS.

Indexed as

Cardiovascular DiseasesDepressive DisorderDyslipidemiasFemaleFollow-Up StudiesHumansMaleMetabolic SyndromeMiddle AgedPrognosisRisk FactorsTriglyceridesTriglyceridesBiomarkersCohort studiesCross-sectional designMetabolic syndromeNational sampleSCOREStructural equation modelingTriglyceridesZung Self-Rating Depression Scale

Identifiers

PMID28012071
PMCPMC5390000
OpenAlexW2564030695

What OpenQuestion holds

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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.