Evidence map›Paper›PMID 27219621›Full record

ArticlePloS one2016

Comparison of Cardiac and Non-Cardiac Biomarkers for Risk Stratification in Elderly Patients with Non-Massive Pulmonary Embolism.

Nicolas Vuilleumier, Aurélien Simona, Marie Méan, Andreas Limacher, Pierre Lescuyer, Eric Gerstel, Henri Bounameaux, Drahomir Aujesky, Marc Righini

Registry-linked trialOpen access · goldAbstract readComparative Study
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00973596 (Swiss Venous Thromboembolism Cohort Study of Elderly Patients With Acute Venous Thromboembolism), which is not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
3.8field-weighted citation impact, top 6% 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.

NCT00973596 completednot on this map

Swiss Venous Thromboembolism Cohort Study of Elderly Patients With Acute Venous Thromboembolism

TypeobservationalSponsorUniversity of Lausanne HospitalsRan2009 to 2013Enrolled1,003ConditionsVenous Thromboembolism
3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Article
  3. 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 4 institutions in 1 country.

Nicolas VuilleumierDivision of Laboratory Medicine, Department of Genetics and Laboratory Medicine, Geneva University Hospitals and Faculty of Medicine, Geneva, Switzerland.
Aurélien SimonaDepartment of Internal Medicine, Rehabilitation and Geriatrics, Geneva University Hospitals and Faculty of Medicine, Geneva, Switzerland.
Marie MéanDivision of General Internal Medicine, Bern University Hospital and University of Bern, Bern, Switzerland.
Andreas LimacherCTU Bern, Department of Clinical Research and Institute of Social and Preventive Medicine (ISPM), University of Bern, Bern, Switzerland.
Pierre LescuyerDivision of Laboratory Medicine, Department of Genetics and Laboratory Medicine, Geneva University Hospitals and Faculty of Medicine, Geneva, Switzerland.
Eric GerstelDepartment of Internal Medicine, Rehabilitation and Geriatrics, Geneva University Hospitals and Faculty of Medicine, Geneva, Switzerland.
Henri BounameauxDivision of Angiology and Haemostasis, Geneva University Hospitals and Faculty of Medicine, Geneva, Switzerland.
Drahomir AujeskyDivision of General Internal Medicine, Bern University Hospital and University of Bern, Bern, Switzerland.
Marc RighiniDivision of Angiology and Haemostasis, Geneva University Hospitals and Faculty of Medicine, Geneva, Switzerland.
University Hospital of Geneva · CHUniversity Hospital of Bern · CHUniversity of Bern · CHUniversity of Lausanne · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

unlabelledBiomarkers unrelated to myocardial necrosis, such as cystatin C, copeptin, and mid-regional pro-adrenomedullin (MR-proADM), showed promise for cardiovascular risk prediction. Knowing whether they are comparable to cardiac biomarkers such as high-sensitive cardiac-troponin T (hs-cTnT) or N-terminal pro-Brain natriuretic peptide (NT-proBNP) in elderly patients with acute non-massive pulmonary embolism (NMPE) remains elusive. This study aims at comparing the prognostic accuracy of cardiac and non-cardiac biomarkers in patients with NMPE aged ≥65 years over time. In the context of the SWITCO65+ cohort, we evaluated 227 elderly patients with an available blood sample taken within one day from diagnosis. The primary study endpoint was defined as PE-related mortality and the secondary endpoint as PE-related complications. The biomarkers' predictive ability at 1, 3, 12 and 24 months was determined using C-statistics and Cox regression. For both study endpoints, C-statistics (95% confidence interval) were stable over time for all biomarkers, with the highest value for hs-cTnT, ranging between 0.84 (0.68-1.00) and 0.80 (0.70-0.90) for the primary endpoint, and between 0.74 (0.63-0.86) and 0.65 (0.57-0.73) for the secondary endpoint. For both study endpoints, cardiac biomarkers were found to be independently associated with risk, NT-proBNP displaying a negative predictive value of 100%. Among non-cardiac biomarkers, only copeptin and MR-proADM were independent predictors of PE-related mortality but they were not independent predictors of PE-related complications, and displayed lower negative predictive values. In elderly NMPE patients, cardiac biomarkers appear to be valuable prognostic to identify very low-risk individuals.

trial registrationClinicalTrials.gov NCT00973596.

Indexed as

AdrenomedullinAgedAged, 80 and overBiomarkersFemaleGlycopeptidesHumansMaleNatriuretic Peptide, BrainPeptide FragmentsPredictive Value of TestsPrognosisProtein PrecursorsPulmonary EmbolismSurvival AnalysisTroponin TAdrenomedullinBiomarkerscopeptinsGlycopeptidesmid-regional pro-adrenomedullin, humanNatriuretic Peptide, BrainPeptide Fragmentspro-brain natriuretic peptide (1-76)Protein PrecursorsTroponin T

Identifiers

PMID27219621
PMCPMC4878757
OpenAlexW2398207611

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Registered trials

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.