Evidence map›Paper›PMID 33919478›Full record

ArticleJournal of clinical medicine2021

Precision Phenomapping of Acute Coronary Syndromes to Improve Patient Outcomes.

Felicita Andreotti, Adelaide Iervolino, Eliano Pio Navarese, Aldo Pietro Maggioni, Filippo Crea, Giovanni Scambia

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 49% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

6 authors at 3 institutions in 3 countries.

Felicita AndreottiCatholic University of the Sacred Heart, 00168 Rome, Italy.
Adelaide IervolinoCatholic University of the Sacred Heart, 00168 Rome, Italy.ORCID 0000-0002-3208-4689
Eliano Pio NavareseInterventional Cardiology and Cardiovascular Medicine Research, Department of Cardiology and Internal Medicine, Nicolaus Copernicus University, 85094 Bydgoszcz, Poland.
Aldo Pietro MaggioniANMCO Research Center, Fondazione per il Tuo cuore, 50121 Florence, Italy.ORCID 0000-0003-2764-6779
Filippo CreaCatholic University of the Sacred Heart, 00168 Rome, Italy.
Giovanni ScambiaCatholic University of the Sacred Heart, 00168 Rome, Italy.
Università Cattolica del Sacro Cuore · ITAssociazione Nazionale Medici Cardiologi Ospedalieri · ITUniversity of Alberta · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute coronary syndromes (ACS) are a global leading cause of death. These syndromes show heterogeneity in presentation, mechanisms, outcomes and responses to treatment. Precision medicine aims to identify and synthesize unique features in individuals, translating the acquired data into improved personalised interventions. Current precision treatments of ACS include immediate coronary revascularisation driven by ECG ST-segment elevation, early coronary angiography based on elevated blood cardiac troponins in patients without ST-segment elevation, and duration of intensified antithrombotic therapy according to bleeding risk scores. Phenotypically stratified analyses of multi-omic datasets are urgently needed to further refine and couple the diagnosis and treatment of these potentially life-threatening conditions. We provide definitions, examples and possible ways to advance precision treatments of ACS.

Indexed as

acute coronary syndromesomic technologiesoutcomesphenomappingprecisiontreatments

Identifiers

PMID33919478
PMCPMC8073759
OpenAlexW3153314349

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.