Evidence map›Paper›PMID 38455719›Full record

ArticleFrontiers in cardiovascular medicine2024

Prevalence and prognostic implications of myocardial injury across different waves of COVID-19.

Óscar M Peiró, Juan R Delgado-Cornejo, Raúl Sánchez-Giménez, Víctor Del-Moral-Ronda, Nisha Lal-Trehan, Mar Rocamora-Horrach, Anna Carrasquer, Joaquim Peraire, Isabel Fort-Gallifa, Alfredo Bardaji

Abstract read
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Article in Frontiers in cardiovascular medicine, 2024. 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
–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

2 citing papers in PubMed.

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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.

Óscar M PeiróDepartment of Cardiology, Joan XXIII University Hospital, Tarragona, Spain.
Juan R Delgado-CornejoDepartment of Cardiology, Joan XXIII University Hospital, Tarragona, Spain.
Raúl Sánchez-GiménezDepartment of Cardiology, Joan XXIII University Hospital, Tarragona, Spain.
Víctor Del-Moral-RondaDepartment of Cardiology, Joan XXIII University Hospital, Tarragona, Spain.
Nisha Lal-TrehanDepartment of Cardiology, Joan XXIII University Hospital, Tarragona, Spain.
Mar Rocamora-HorrachDepartment of Cardiology, Joan XXIII University Hospital, Tarragona, Spain.
Anna CarrasquerDepartment of Cardiology, Joan XXIII University Hospital, Tarragona, Spain.
Joaquim PerairePere Virgili Health Research Institute, Rovira i Virgili University, Tarragona, Spain.
Isabel Fort-GallifaClinical Laboratory, Catalan Institute of Health, Camp de Tarragona-Terres de l'Ebre, Tarragona, Spain.
Alfredo BardajiDepartment of Cardiology, Joan XXIII University Hospital, Tarragona, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The prognostic ability of myocardial injury across different waves of the COVID-19 pandemic is not well established. The purpose of this study was to evaluate the prevalence and prognostic implications of myocardial injury in the first and sixth wave of COVID-19. Methods: We conducted a retrospective observational study that included patients admitted to the emergency department with COVID-19 with data on concentrations of cardiac troponin during the first and sixth wave. We compared the prevalence of myocardial injury and its predictive capacity for 30-day all-cause death in both waves. Results and discussion: A total of 346 patients were included (1st wave 199 and 6th wave 147 patients). The prevalence of myocardial injury was 21% with non-significant differences between waves. Myocardial injury was associated, in both waves, with a higher prevalence of comorbidities and with an increased risk of 30-day all-cause death [1st wave HR: 3.73 (1.84-7.55);

Indexed as

COVID-19myocardial injuryprognosticSARS-CoV-2troponin

Identifiers

PMID38455719
PMCPMC10917998

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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.