Evidence map›Paper›PMID 38315383›Full record

ArticleInternal and emergency medicine2024

Seeing is believing: pathway strategies for a personalised non-invasive diagnosis of coronary artery disease.

Pablo Sutelman, Monika Radike, Gemma Vilahur

Abstract readEditorial
PubMed Publisher
In one paragraph

Article in Internal and emergency medicine, 2024. 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
–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

0 citing papers in PubMed.

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

3 authors.

Pablo SutelmanHeart Institute, Teknon Medical Centre, Barcelona, Spain.
Monika RadikeRadiology Department, Liverpool Heart and Chest Hospital, Thomas Drive, Liverpool, L14 3PE, UK.
Gemma VilahurResearch Institute, Hospital de la Santa Creu i Sant Pau, IIB-Sant Pau, C/Sant Antoni Mª Claret 167, 08025, Barcelona, Spain. gvilahur@santpau.cat.ORCID 0000-0002-2828-8873

Funding

Ministerio de Ciencia e Innovación PID2021-128891OB-I00Ministerio de Ciencia e Innovación PLEC2021-007664
6 · The paper itself

Abstract

Coronary artery disease (CAD) diagnosis requires a precise assessment of patient profile and disease extension. While non-invasive imaging modalities offer an in-depth evaluation of CAD through differential approaches, this is based primarily on detecting coronary plaques or inducible myocardial ischaemia, thus each offering only a partial outlook of this condition. The improvement in appropriately identifying CAD patients at risk of developing major adverse cardiovascular events and guiding treatment outcomes will require developing a personalised diagnostic strategy for a value-based application of current technologies.

Indexed as

Coronary Artery DiseaseCoronary AngiographyHeartHumansPredictive Value of TestsComputed tomographyCoronary artery diseaseImagingMagnetic resonance

Identifiers

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.