Evidence map›Paper›PMID 37041427›Full record

ArticleIrish journal of medical science2023

The GLVC scoring system: a single-center model for predicting survival and hospitalization in patients with heart failure.

Anna Chuda-Wietczak, Agata Sakowicz, Agnieszka Tycinska, Ibadete Bytyci, Agata Bielecka-Dabrowa

Open access · hybridAbstract read
In one paragraph

Article in Irish journal of medical science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 35% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Review
  2. Review
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

5 authors at 4 institutions in 3 countries.

Anna Chuda-WietczakHeart Failure Unit, Department of Cardiology and Congenital Diseases of Adults, Polish Mother's Memorial Hospital Research Institute, Rzgowska 281/289, Lodz, 93-338, Poland. annachuda.ac@gmail.com.ORCID http://orcid.org/0000-0002-6850-6126
Agata SakowiczDepartment of Medical Biotechnology, Medical University of Lodz, Lodz, Poland.ORCID http://orcid.org/0000-0002-5083-2046
Agnieszka TycinskaDepartment of Cardiology, Medical University of Bialystok, Bialystok, Poland.ORCID http://orcid.org/0000-0001-7855-7261
Ibadete BytyciClinic of Cardiology, University Clinical Centre of Kosovo, Prishtina, Kosovo.ORCID http://orcid.org/0000-0002-8996-4257
Agata Bielecka-DabrowaHeart Failure Unit, Department of Cardiology and Congenital Diseases of Adults, Polish Mother's Memorial Hospital Research Institute, Rzgowska 281/289, Lodz, 93-338, Poland. agatbiel7@poczta.onet.pl.ORCID http://orcid.org/0000-0001-6666-3999
Medical University of Lodz · PLMedical University of Białystok · PLMemorial Hospital · USUniversity Clinical Center of Kosovo · XK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHeart failure (HF) is the only cardiovascular disease with an ever-increasing incidence.

aimsThe aim of this study was to assess the predictors of adverse clinical events (CE) and the creation and evaluation of the prognostic value of a novel personalized scoring system in patients with HF.

methodsThe study included 113 HF patients (median age 64 years (IQR 58-69); 57.52% male). The new novel prognostic score named GLVC (G, global longitudinal peak strain (GLPS); L, left ventricular diastolic diameter (LVDD); V, oxygen pulse (VO

resultsResults from final analyses showed that low GLPS (< 13.9%, OR = 2.66, 95% CI = 1.01-4.30, p = 0.002), high LVDD (> 56 mm, OR = 2.37, 95% CI = 1.01-5.55, p = 0.045), low oxygen pulse (< 10, OR = 2.8, 95% CI = 1.17-6.70, p = 0.019), and high hs-CRP (> 2.38 µg/ml, OR = 2.93, 95% CI = 1.31-6.54, p = 0.007) were independent prognostic factors for adverse CE in HF population. All the patients were stratified into a low-risk or high-risk group according to a novel "GLVC" scoring system. The Kaplan-Meier analyses demonstrated that patients in the high-risk group were more predisposed to having higher adverse clinical events compared to patients in the low-risk group.

conclusionsA novel and comprehensive personalized "GLVC" scoring system is an easily available and effective tool for predicting the adverse outcomes in HF.

Indexed as

Heart FailureVentricular Function, LeftC-Reactive ProteinFemaleHospitalizationHumansMaleMiddle AgedOxygenPrognosisStroke VolumeC-Reactive ProteinOxygenGlobal longitudinal strain for left ventricularHeart failureHigh sensitive CRPLeft ventricular diastolic diameterOxygen pulsePrognosis

Identifiers

PMID37041427
PMCPMC10692256
OpenAlexW4365135751

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.