Dynamic coronary roadmap-guided PCI reduces contrast volume and radiation time compared to standard angiography PCI: A meta-analysis

In this paper, we found that DCR-guided PCI is superior to conventional PCI in terms of contrast medium volume and radiation time. Future randomized controlled trials with larger sample sizes are needed to confirm these findings, especially in patients with kidney disease.

Authors

Institutions

Publication Details

Journal
Heliyon
Published
2024-12-30
DOI
https://doi.org/10.1016/j.heliyon.2024.e41557
Citations
2
Primary Topic
Acute Kidney Injury Research
Type
article
Field-Weighted Citation Impact
0.68
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Dynamic coronary roadmap-guided PCI reduces contrast volume and radiation time compared to standard angiography PCI: A meta-analysis

Ibrahem A Beshr, Mohammed S. Beshr, Mohammad Al Hayek
2 citations
Heliyon
Acute Kidney Injury Research
0.68
article

Dynamic coronary roadmap-guided PCI reduces contrast volume and radiation time compared to standard angiography PCI: A meta-analysis

Ibrahem A Beshr, Mohammed S. Beshr, Mohammad Al Hayek
article en
2 citations

Abstract

In this paper, we found that DCR-guided PCI is superior to conventional PCI in terms of contrast medium volume and radiation time. Future randomized controlled trials with larger sample sizes are needed to confirm these findings, especially in patients with kidney disease.

HeliyonVol. 11(1)
Sana'a University (YE), Damascus University (SY)
Openalex Percentile: Top 25%
Acute Kidney Injury Research
0.68
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.