Evidence map›Paper›PMID 34459705›Full record

ReviewActa cardiologica2022

The use of cardiac troponins and B-type natriuretic peptide in COVID-19.

Bert Zwaenepoel, Sebastiaan Dhont, Hannah Schaubroeck, Sofie Gevaert

Open access · greenAbstract readReview
In one paragraph

Review in Acta cardiologica, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 33% 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

3 citing papers in PubMed, 5 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

4 authors at 1 institution in 1 country.

Bert ZwaenepoelDepartment of Cardiology, Ghent University Hospital, Ghent, Belgium.
Sebastiaan DhontDepartment of Cardiology, Ghent University Hospital, Ghent, Belgium.
Hannah SchaubroeckDepartment of Intensive Care Medicine, Ghent University Hospital, Ghent, Belgium.
Sofie GevaertDepartment of Cardiology, Ghent University Hospital, Ghent, Belgium.
Ghent University Hospital · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronavirus disease 2019 (COVID-19) is still challenging health care systems worldwide. Over time, it has become clear that respiratory disease is not the only important entity as critically ill patients are also more prone to develop complications, such as acute cardiac injury. Despite extensive research, the mainstay of treatment still relies on supportive care and targeted therapy of these complications. The development of a prognostic model which helps clinicians to diverge patients to an appropriate level of care is thus crucial. As a result, several prognostic markers have been studied in the past few months. Among them are the cardiac biomarkers, especially cardiac troponins T/I and brain natriuretic peptide, which seem to have important prognostic values as several reports have confirmed their strong association with adverse clinical outcomes and death. The use of these biomarkers as part of a prognostic tool could potentially result in more precise risk stratification of COVID-19 patients and divergence to an adequate level of care. However, several caveats persist causing international guidelines to still recommend in favour of a more conservative approach to cardiac biomarker testing for prognostic purposes.

Indexed as

COVID-19Natriuretic Peptide, BrainTroponin ITroponin TBiomarkersHumansPrognosisBiomarkersNatriuretic Peptide, BrainTroponin ITroponin TB-type natriuretic peptidecardiac troponinCOVID-19myocardial injury

Identifiers

PMID34459705
PMCPMC8425434
OpenAlexW3198015777

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.