Evidence map›Paper›PMID 37387711›Full record

ReviewInterventional cardiology (London, England)2023

Procedural and Technological Innovations Facilitating Ultra-low Contrast Percutaneous Coronary Interventions.

Breda Hennessey, Asad Shabbir, Alejandro Travieso, Nieves Gonzalo, Javier Escaned

Abstract readReview
In one paragraph

Review in Interventional cardiology (London, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Real-World Evaluation of PCI Guidance Using Dynamic Coronary Roadmap: A DCR4Contrast Trial Secondary Analysis.Journal of the Society for Cardiovascular Angiography & Interventions · 2025
    Article
  4. Article
  5. Review
  6. Review
  7. 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

5 authors.

Breda HennesseyInterventional Cardiology Unit, Hospital Clínico San Carlos IDISSC, Complutense Universidad de Madrid Madrid, Spain.
Asad ShabbirInterventional Cardiology Unit, Hospital Clínico San Carlos IDISSC, Complutense Universidad de Madrid Madrid, Spain.
Alejandro TraviesoInterventional Cardiology Unit, Hospital Clínico San Carlos IDISSC, Complutense Universidad de Madrid Madrid, Spain.
Nieves GonzaloInterventional Cardiology Unit, Hospital Clínico San Carlos IDISSC, Complutense Universidad de Madrid Madrid, Spain.
Javier EscanedInterventional Cardiology Unit, Hospital Clínico San Carlos IDISSC, Complutense Universidad de Madrid Madrid, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ultra-low-dose contrast percutaneous coronary intervention (PCI) is a valuable approach in selected complex high-risk patients with renal failure. One of the objectives of ultra-low contrast PCI is to decrease the probability of developing postprocedural contrast-induced nephropathy (CIN), which predominately affects patients with baseline renal dysfunction. CIN is associated with poor clinical outcomes and increased healthcare-related costs. Another two clinical scenarios in which reduced dependence on contrast administration by the operator may contribute to improved safety are PCI in complex, high-risk indicated patients and in shock. In this review, we discuss the procedural techniques and recent technological innovations that enable ultra-low-dose contrast PCI to be performed in the cardiac cath lab.

Indexed as

Contrastcoronaryinterventionpercutaneousultra-low

Identifiers

PMID37387711
PMCPMC10301683

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.