Evidence map›Paper›PMID 32784437›Full record

ArticleJournal of clinical medicine2020

A Novel Clinical Perspective on New Masses after Lead Extraction (Ghosts) by Means of Intracardiac Echocardiography.

Carlo Caiati, Giovanni Luzzi, Paolo Pollice, Stefano Favale, Mario Erminio Lepera

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

10 citing papers in PubMed, 12 citations in OpenAlex.

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  9. Pediatric Infective Endocarditis: A Literature Review.Journal of clinical medicine · 2022
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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

5 authors at 1 institution in 1 country.

Carlo CaiatiUnit of Cardiovascular Diseases, Department of Emergency and Organ Transplantation, University of Bari, 70123 Bari, Italy.ORCID 0000-0002-7447-575X
Giovanni LuzziUnit of Cardiovascular Diseases, Department of Emergency and Organ Transplantation, University of Bari, 70123 Bari, Italy.
Paolo PolliceUnit of Cardiovascular Diseases, Department of Emergency and Organ Transplantation, University of Bari, 70123 Bari, Italy.ORCID 0000-0002-4775-1085
Stefano FavaleUnit of Cardiovascular Diseases, Department of Emergency and Organ Transplantation, University of Bari, 70123 Bari, Italy.
Mario Erminio LeperaUnit of Cardiovascular Diseases, Department of Emergency and Organ Transplantation, University of Bari, 70123 Bari, Italy.
University of Bari Aldo Moro · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA lead-reactive fibrous capsule (FC) identified by ultrasounds as an atrial or ventricular lead thickness of more than 1 mm above the vendor-declared lead diameter (TL) and its local fibrotic attachment to the cardiac wall (FAC) have never been investigated in vivo, so their relationship with post-extraction masses (ghost) is not known.

methodsIntracardiac echocardiography (ICE) was performed twice during the same extraction procedure in 40 consecutive patients: before and immediately after infected lead extraction Results: The ghost detection rate was high: 60% (24/40 patients); ICE could identify both TL and FAC, TL being noted in 25/40 (62%) patients and FAC in 12/40 patients (30%). Both TL and FAC were significantly associated with ghosts (

conclusionICE is able to evaluate both TL and FAC in vivo; ghosts are mostly benign remnants of fibrotic lead capsule cut off during extraction and retained inside the heart by FAC.

Indexed as

ghostsintracardiac echocardiographylead encapsulationlead infection

Identifiers

PMID32784437
PMCPMC7465795
OpenAlexW3047829509

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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.