Evidence mapPaperPMID 32792012Full record

Observational studyBMC nephrology2020

Metabolic syndrome in haemodialysis patients: prevalence, determinants and association to cardiovascular outcomes.

Arnaud Delautre, François Chantrel, Yves Dimitrov, Alexandre Klein, Olivier Imhoff, Clotilde Muller, Nicole Schauder, Thierry Hannedouche, Thierry Krummel

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in BMC nephrology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 28% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. 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

9 authors at 6 institutions in 1 country.

Arnaud DelautreService de Néphrologie et Dialyse, Hôpitaux Universitaires de Strasbourg, Strasbourg, France. arnaud.delautre@chru-strasbourg.fr.ORCID 0000-0001-8625-499X
François ChantrelService de Nephrologie, Centre Hospitalier Emile Muller de Mulhouse, Mulhouse, France.
Yves DimitrovAssociation pour l'Utilisation du Rein Artificiel en Alsace (AURAL), Strasbourg, France.
Alexandre KleinAssociation pour l'Utilisation du Rein Artificiel en Alsace (AURAL), Strasbourg, France.
Olivier ImhoffAssociation pour l'Utilisation du Rein Artificiel en Alsace (AURAL), Strasbourg, France.
Clotilde MullerAssociation pour l'Utilisation du Rein Artificiel en Alsace (AURAL), Strasbourg, France.
Nicole SchauderObservatoire Régional de la Santé d'Alsace (ORSAL), Strasbourg, France.
Thierry HannedoucheService de Néphrologie et Dialyse, Hôpitaux Universitaires de Strasbourg, Strasbourg, France.
Thierry KrummelService de Néphrologie et Dialyse, Hôpitaux Universitaires de Strasbourg, Strasbourg, France. thierry.krummel@chru-strasbourg.fr.
Hôpitaux Universitaires de Strasbourg · FRCentre Hospitalier Sainte-Anne · FRAssociation pour l'Utilisation du Rein Artificiel · FRCentre Hospitalier de Mulhouse · FRHopitaux Civils de Colmar · FRObservatoire Régional de la Santé d’Alsace · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn the general population, metabolic syndrome (MetS) is predictive of major adverse cardiovascular events (MACE). Waist circumference (WC), a component of the MetS criteria, is linked to visceral obesity, which in turn is associated with MACE. However, in haemodialysis (HD) patients, the association between MetS, WC and MACE is unclear.

methodsIn a cross-sectional study of 1000 HD patients, we evaluated the prevalence and characterised the clinical predictors of MetS. The relationship between MetS and its components, alone or in combination, and MACE (coronary diseases, peripheral arteriopathy, stroke or cardiac failure), was studied using receiver operating characteristics (ROC) curves and logistic regression.

resultsA total of 753 patients were included between October 2011 and April 2013. The prevalence of MetS was 68.5%. Waist circumference (> 88 cm in women, 102 cm in men) was the best predictor of MetS (sensitivity 80.2; specificity 82.3; AUC 0.80; p <  0.05). In multivariate analysis, MetS was associated with MACE (OR: 1.85; 95CI 1.24-2.75; p <  0.01), but not WC alone. There was a stronger association between the combination of abdominal obesity, hypertriglyceridaemia and low high-density lipoprotein cholesterol with MACE after exclusion of impaired fasting glucose and hypertension.

conclusionsMetS is frequent and significantly associated with MACE in our haemodialysis cohort and probably in other European dialysis populations as well. In HD patients, a new simplified definition could be proposed in keeping with the concept of the "hypertriglyceridaemic waist".

Indexed as

Renal DialysisWaist CircumferenceAgedCardiovascular DiseasesCoronary DiseaseCross-Sectional StudiesDyslipidemiasFemaleHeart FailureHumansKidney Failure, ChronicLogistic ModelsMaleMetabolic SyndromeMiddle AgedObesity, AbdominalEpidemiologyHaemodialysisMajor cardiovascular eventsMetabolic syndromeWaist circumference

Identifiers

PMID32792012
PMCPMC7427285
OpenAlexW3048424022

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.