Evidence map›Paper›PMID 22170257›Full record

ReviewJournal of cardiovascular translational research2012

Positron emission tomography in acute coronary syndromes.

Leonarda Galiuto, Lazzaro Paraggio, Alberto R De Caterina, Elisa Fedele, Gabriella Locorotondo, Lucia Leccisotti, Alessandro Giordano, Antonio G Rebuzzi, Filippo Crea

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of cardiovascular translational research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.8field-weighted citation impact, top 26% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

9 authors at 2 institutions in 2 countries.

Leonarda GaliutoInstitute of Cardiology, Catholic University of the Sacred Heart, Policlinico A. Gemelli, Largo A. Gemelli, 8, 00168, Rome, Italy. lgaliuto@rm.unicatt.it
Lazzaro Paraggio
Alberto R De Caterina
Elisa Fedele
Gabriella Locorotondo
Lucia Leccisotti
Alessandro Giordano
Antonio G Rebuzzi
Filippo Crea
Università Cattolica del Sacro Cuore · ITAgostino Gemelli University Polyclinic · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Several imaging techniques have been used to assess cardiac structure and function, to understand pathophysiology, and to guide clinical decision making in the setting of acute coronary syndromes (ACS). Over the last years, cardiac positron emission tomography (PET) has affirmed its role in this setting. Indeed, the combined quantitative assessment of myocardial metabolism and perfusion has allowed to better understand the functional status of infarcted and non-infarcted myocardium, thus improving our knowledge of myocardial response to necrosis. More recently, several studies, taking advantage of previous observations in patients with cancer, have shown that PET could also provide important information on the mechanisms of vascular instability through the early identification of activated inflammatory cells in the atherosclerotic plaque. These findings are opening the way to more effective forms of prevention of acute vascular syndromes in high-risk patients; furthermore, new more sensitive and specific tracers for the identification of vascular inflammation are under development. In this review, we describe the potential and limitations of PET in the assessment of ACS.

Indexed as

Positron-Emission TomographyAcute Coronary SyndromeCoronary CirculationHumansMyocardial Perfusion ImagingPredictive Value of TestsPrognosisSeverity of Illness Index

Identifiers

PMID22170257
OpenAlexW2031711140

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.