Evidence map›Paper›PMID 34822445›Full record

ArticleMetabolites2021

The Echocardiographic Parameters of Systolic Function Are Associated with Specific Metabolomic Fingerprints in Obstructive and Non-Obstructive Hypertrophic Cardiomyopathy.

Martino Deidda, Antonio Noto, Daniele Pasqualucci, Claudia Fattuoni, Luigi Barberini, Cristina Piras, Pier Paolo Bassareo, Maurizio Porcu, Giuseppe Mercuro, Christian Cadeddu Dessalvi

Abstract read
In one paragraph

Article in Metabolites, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Article
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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

10 authors.

Martino DeiddaDepartment of Medical Sciences and Public Health, University of Cagliari, 09124 Monserrato, Italy.
Antonio NotoDepartment of Biomedical Sciences, University of Cagliari, 09124 Monserrato, Italy.
Daniele PasqualucciCardiothoracic Unit, Azienda Ospedaliera Brotzu, 09134 Cagliari, Italy.ORCID 0000-0003-4065-2786
Claudia FattuoniDepartment of Chemical and Geological Sciences, University of Cagliari, 09124 Monserrato, Italy.ORCID 0000-0002-6956-7967
Luigi BarberiniDepartment of Medical Sciences and Public Health, University of Cagliari, 09124 Monserrato, Italy.ORCID 0000-0002-3815-0392
Cristina PirasDepartment of Biomedical Sciences, University of Cagliari, 09124 Monserrato, Italy.ORCID 0000-0003-0750-4837
Pier Paolo BassareoSchool of Medicine, Mater Misericordiae University Hospital and Our Lady's Children's Hospital Crumlin, University College of Dublin, D07 R2WY Dublin, Ireland.ORCID 0000-0002-8374-0260
Maurizio PorcuCardiothoracic Unit, Azienda Ospedaliera Brotzu, 09134 Cagliari, Italy.
Giuseppe MercuroDepartment of Medical Sciences and Public Health, University of Cagliari, 09124 Monserrato, Italy.
Christian Cadeddu DessalviDepartment of Medical Sciences and Public Health, University of Cagliari, 09124 Monserrato, Italy.ORCID 0000-0002-2823-1797

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this study was to assess whether metabolomics, associated with echocardiography, was able to highlight pathophysiological differences between obstructive (OHCM) or non-obstructive (NOHCM) hypertrophic cardiomyopathy. Thirty-one HCM patients underwent standard and advanced echocardiography; a plasma sample was collected for metabolomic analysis. Results. Patients with OHCM compared with subjects with NOHCM had higher values of 2DLVEF (66.5 ± 3.3% vs. 60.6 ± 1.8%,

Indexed as

3D echocardiographyglobal longitudinal strainmetabolomicsnon-obstructive hypertrophic cardiomyopathyobstructive hypertrophic cardiomyopathy

Identifiers

PMID34822445
PMCPMC8620364

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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.