Evidence map›Paper›PMID 33826019›Full record

ArticleThe international journal of cardiovascular imaging2021

Evaluation the relationship of left ventricular global longitudinal strain and laboratory parameters in discharged patients with COVID-19: a follow-up study.

Derya Baykiz, Elif Ayduk Govdeli, Pelin Karaca Ozer, Ekrem Bilal Karaayvaz, Yunus Catma, Alpay Medetalibeyoglu, Atahan Cagatay, Berrin Umman, Tufan Tukek, Zehra Bugra

Open access · bronzeAbstract read
In one paragraph

Article in The international journal of cardiovascular imaging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
0.5field-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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Echocardiographic Assessment in Patients Recovered from Acute COVID-19 Illness.Journal of cardiovascular development and disease · 2023
    Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. 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

10 authors at 1 institution in 1 country.

Derya BaykizDepartment of Cardiology, Istanbul Faculty of Medicine, Istanbul University, Istanbul, 34093, Turkey. derya.baykiz@hotmail.com.
Elif Ayduk GovdeliDepartment of Cardiology, Istanbul Faculty of Medicine, Istanbul University, Istanbul, 34093, Turkey.
Pelin Karaca OzerDepartment of Cardiology, Istanbul Faculty of Medicine, Istanbul University, Istanbul, 34093, Turkey.
Ekrem Bilal KaraayvazDepartment of Cardiology, Istanbul Faculty of Medicine, Istanbul University, Istanbul, 34093, Turkey.
Yunus CatmaDepartment of Internal Medicine, Istanbul Faculty of Medicine, Istanbul University, Istanbul, 34093, Turkey.
Alpay MedetalibeyogluDepartment of Internal Medicine, Istanbul Faculty of Medicine, Istanbul University, Istanbul, 34093, Turkey.
Atahan CagatayDepartment of Infection Diseases, Istanbul Faculty of Medicine, Istanbul University, Istanbul, 34093, Turkey.
Berrin UmmanDepartment of Cardiology, Istanbul Faculty of Medicine, Istanbul University, Istanbul, 34093, Turkey.
Tufan TukekDepartment of Internal Medicine, Istanbul Faculty of Medicine, Istanbul University, Istanbul, 34093, Turkey.
Zehra BugraDepartment of Cardiology, Istanbul Faculty of Medicine, Istanbul University, Istanbul, 34093, Turkey.
Istanbul University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe novel coronavirus infection (COVID-19) disease has spread rapidly and posed a great threat to global public health. The laboratory parameters and clinical outcomes of the disease in discharged patients remain unknown. In this study, we aimed to investigate the laboratory and echocardiographic findings of patients with COVID-19 after discharge and the relation between left ventricular global longitudinal strain (LVGLS) and inflammatory parameters in discharged patients.

methodsA total of 75 patients recovering from COVID-19 as the study group were prospectively recruited from the COVID-19 outpatient clinic for their follow-up visits at a median 6 months after discharge. Patients were classified into groups according to pneumonia severity and impairment in LVGLS. Laboratory findings of patients both at admission and after discharge were evaluated and the relation with pneumonia severity at admission and LVGLS after discharge were analyzed.

resultsSerum ferritin, lactate dehydrogenase (LDH) and prohormone B-type natriuretic peptide (pro-BNP) levels after discharge were significantly higher in the study group than the control group (n = 44). Ferritin was found to be related to pneumonia severity. Serum ferritin and LDH values after discharge were significantly higher in patients with impaired LVGLS than those with preserved. There was a significant correlation between LVGLS, serum ferritin and LDH values after discharge (r = -0.252, p = 0.012; r = -0.268, p = 0.005, respectively).

conclusionsClinicians should pay close attention to the serum ferritin and LDH levels in discharged patients for predicting the severity of COVID-19 disease and early identification of subclinical left ventricular myocardial dysfunction.

Indexed as

AdultCOVID-19EchocardiographyFemaleFerritinsFollow-Up StudiesHeart VentriclesHumansL-Lactate DehydrogenaseMaleMiddle AgedNatriuretic Peptide, BrainProspective StudiesSeverity of Illness IndexVentricular Dysfunction, LeftFerritinsL-Lactate DehydrogenaseNatriuretic Peptide, BrainCOVID-19FerritinInflammationLactate dehydrogenaseLeft ventricular global longitudinal strain

Identifiers

PMID33826019
PMCPMC8025070
OpenAlexW3131193024

What OpenQuestion holds

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Read underepoch 390

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.