Evidence map›Paper›PMID 29649323›Full record

ArticlePloS one2018

Prognosis of cardiovascular and non-cardiovascular multimorbidity after acute coronary syndrome.

Silvia Canivell, Olivier Muller, Baris Gencer, Dik Heg, Roland Klingenberg, Lorenz Räber, David Carballo, Christian Matter, Thomas Lüscher, Stephan Windecker and 3 more

Open access · goldFull text readMulticenter Study
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 10% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 36 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

13 authors at 5 institutions in 1 country.

Silvia CanivellDepartment of Ambulatory Care and Community Medicine, University of Lausanne, Lausanne, Switzerland.ORCID 0000-0002-0280-5035
Olivier MullerService of Cardiology, Lausanne University Hospital, Lausanne, Switzerland.
Baris GencerDivision of Cardiology, Faculty of Medicine, Geneva University Hospitals, Geneva, Switzerland.
Dik HegInstitute of Social and Preventive Medicine, and Clinical Trials Unit, Department of Clinical Research, University of Bern, Bern, Switzerland.
Roland KlingenbergUniversity Heart Center, Department of Cardiology, University Hospital Zurich, Zurich, Switzerland.
Lorenz RäberDepartment of Cardiology, University Hospital Bern, Bern, Switzerland.
David CarballoDivision of Cardiology, Faculty of Medicine, Geneva University Hospitals, Geneva, Switzerland.
Christian MatterUniversity Heart Center, Department of Cardiology, University Hospital Zurich, Zurich, Switzerland.
Thomas LüscherUniversity Heart Center, Department of Cardiology, University Hospital Zurich, Zurich, Switzerland.
Stephan WindeckerDepartment of Cardiology, University Hospital Bern, Bern, Switzerland.
François MachDivision of Cardiology, Faculty of Medicine, Geneva University Hospitals, Geneva, Switzerland.
Nicolas RodondiDepartment of General Internal Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
David NanchenDepartment of Ambulatory Care and Community Medicine, University of Lausanne, Lausanne, Switzerland.ORCID 0000-0002-2493-3505
University Hospital of Geneva · CHUniversity Hospital of Zurich · CHUniversity of Lausanne · CHUniversity Hospital of Bern · CHUniversity of Bern · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo examine the prognosis of patients with cardiovascular and non-cardiovascular multimorbidity after acute coronary syndrome compared to patients without prior multimorbidity.

methodsThis multicenter prospective cohort study in Switzerland included 5,635 patients hospitalized with acute coronary syndrome between 2009 and 2014, with a one-year follow-up period. We defined cardiovascular and non-cardiovascular multimorbidity as having at least two prior comorbidities before the index hospitalization. Multivariable adjusted Cox proportional models were built to assess the one-year risk of recurrent cardiovascular events, defined as cardiovascular mortality and non-fatal myocardial infarction or stroke. The final model was adjusted for age, gender, body mass index, tobacco consumption, education, and family history of cardiovascular disease, prescription of high-dose statinsat discharge and use of cardiac rehabilitation after discharge.

resultsOverall, 3,664 patients (65%) had no multimorbidity, 1,839 (33%) had cardiovascular multimorbidity, 62 (1%) had non-cardiovascular multimorbidity, and 70 (1%) had both cardiovascular and non-cardiovascular multimorbidity. The multivariate risk of recurrent cardiovascular events was increased among patients with cardiovascular multimorbidity (hazard ratio (HR) 2.05, 95% CI: 1.54-2.73, p<0.001) and patients with non-cardiovascular multimorbidity (HR 2.57, 95% CI: 1.04-6.35, p = 0.04) compared to patients without multimorbidity. Patients with cardiovascular and non-cardiovascular multimorbidity had the highest risk of recurrence with a HR of 5.19, 95% CI: 2.79-9.64, p<0.001, compared to patients without multimorbidity.

conclusionsMultimorbidity increased by two-fold the risk of cardiovascular events over the year after an acute coronary syndrome. The magnitude of this increased risk was similar for patients with cardiovascular or non-cardiovascular multimorbidity.

Indexed as

MultimorbidityAcute Coronary SyndromeAgedAged, 80 and overCardiovascular DiseasesFemaleHospitalizationHumansHydroxymethylglutaryl-CoA Reductase InhibitorsMaleMiddle AgedMultivariate AnalysisPrognosisProportional Hazards ModelsProspective StudiesRecurrenceHydroxymethylglutaryl-CoA Reductase Inhibitors

Identifiers

PMID29649323
PMCPMC5896917
OpenAlexW2797622595

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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.