Evidence map›Paper›PMID 39077575›Full record

ReviewReviews in cardiovascular medicine2023

Is Infectious Endocarditis Evolving into a Time-Dependent Diagnosis in the Contemporary Epidemiological Era? Emphasis on the Role of Echocardiography as a First-Line Diagnostic Approach.

Andrea Barbieri, Enrico Cecchi, Francesca Bursi, Francesca Mantovani

Abstract readReview
In one paragraph

Review in Reviews in cardiovascular medicine, 2023. 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
–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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

4 authors.

Andrea BarbieriDivision of Cardiology, Department of Diagnostics, Clinical and Public Health Medicine, Policlinico University Hospital of Modena, 41122 Modena, Italy.ORCID https://orcid.org/0000-0002-7189-9602
Enrico CecchiDepartment of Cardiology, Humanitas Cellini, 10100 Turin, Italy.
Francesca BursiDivision of Cardiology, Dipartimento di Scienze della salute, San Paolo Hospital, ASST Santi Paolo and Carlo, University of Milan, 20142 Milano, Italy.
Francesca MantovaniCardiology Unit, Azienda Unità Sanitaria Locale - IRCCS di Reggio Emilia, 42123 Reggio Emilia, Italy.ORCID https://orcid.org/0000-0003-4353-8372

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite significant advances in understanding and outcomes in various domains of cardiology, the prognosis of infective endocarditis (IE) remains dismal. One of the main reasons may rely on an even more intricate diagnosis since epidemiology has shifted towards an aggressive infection, typically in older patients with the involvement of prosthetic valves and cardiovascular implantable electronic devices with earlier clinical presentation. In this novel setting, it is critical to avoid a delay in diagnosis that may delay subsequent adequate treatment, further complications, and ultimately poor clinical outcomes. Accordingly, based on the available data, we will examine the proper use of first-line echocardiography representing the first-line imaging method in patients with clinical suspicion of IE. We will focus on the following three crucial questions: (1) What is the threshold to start the echocardiographic diagnostic workup in stable patients? (2) Has infective endocarditis become a time-dependent diagnosis, even in stable patients? (3) What is the appropriate use of echocardiography in unstable patients? Finally, we propose a new mindset to improve the echocardiographic diagnostic workflow.

Indexed as

diagnosisechocardiographyinfective endocarditis

Identifiers

PMID39077575
PMCPMC11273157

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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.