Evidence map›Paper›PMID 34659381›Full record

ArticleJournal of geriatric cardiology : JGC2021

Cardiac hybrid imaging: novel tracers for novel targets.

Andrea Ponsiglione, Raffaele Ascione, Carmela Nappi, Massimo Imbriaco, Michele Klain, Renato Cuocolo, Alberto Cuocolo, Mario Petretta

Open access · greenAbstract read
In one paragraph

Article in Journal of geriatric cardiology : JGC, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. 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

8 authors at 2 institutions in 1 country.

Andrea PonsiglioneDepartment of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Italy.
Raffaele AscioneDepartment of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Italy.
Carmela NappiDepartment of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Italy.
Massimo ImbriacoDepartment of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Italy.
Michele KlainDepartment of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Italy.
Renato CuocoloInterdepartmental Research Center on management and Innovation in Healthcare, CIRMIS University of Naples Federico II, Naples, Italy.
Alberto CuocoloDepartment of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Italy.
Mario PetrettaIRCCS SDN, Naples, Italy.
University of Naples Federico II · ITIstituti di Ricovero e Cura a Carattere Scientifico · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-invasive cardiac imaging has explored enormous advances in the last few decades. In particular, hybrid imaging represents the fusion of information from multiple imaging modalities, allowing to provide a more comprehensive dataset compared to traditional imaging techniques in patients with cardiovascular diseases. The complementary anatomical, functional and molecular information provided by hybrid systems are able to simplify the evaluation procedure of various pathologies in a routine clinical setting. The diagnostic capability of hybrid imaging modalities can be further enhanced by introducing novel and specific imaging biomarkers. The aim of this review is to cover the most recent advancements in radiotracers development for SPECT/CT, PET/CT, and PET/MRI for cardiovascular diseases.

Identifiers

PMID34659381
PMCPMC8501382
OpenAlexW3204521465

What Socratic holds

Textmetadata
LicenceCC BY-NC-SA
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 Socratic graph.