Evidence map›Paper›PMID 31522247›Full record

ArticleHeart and vessels2020

The impact of percutaneous coronary intervention using the novel dynamic coronary roadmap system.

Takayuki Yabe, Toshiya Muramatsu, Reiko Tsukahara, Masatsugu Nakano, Hideyuki Takimura, Mami Kawano, Tasuku Hada, Takanori Ikeda

Abstract read
PubMed Publisher
In one paragraph

Article in Heart and vessels, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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

  1. Pooled it
  2. Dynamic Coronary Roadmap versus standard angiography for percutaneous coronary intervention: the randomised, multicentre DCR4Contrast trial.EuroIntervention : journal of EuroPCR in collaboration with the Working Group on Interventional Cardiology of the European Society of Cardiology · 2024
    Trial
  3. Review
  4. 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
  5. Harnessing Artificial Intelligence for Innovation in Interventional Cardiovascular Care.Journal of the Society for Cardiovascular Angiography & Interventions · 2025
    Review
  6. Article
  7. Review
  8. Review
  9. Robotics, imaging, and artificial intelligence in the catheterisation laboratory.EuroIntervention : journal of EuroPCR in collaboration with the Working Group on Interventional Cardiology of the European Society of Cardiology · 2021
    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

8 authors.

Takayuki YabeDepartment of Cardiovascular Medicine, Toho University Faculty of Medicine, 6-11-1 Omorinishi, Ota-ku, Tokyo, 143-8541, Japan. takayuki.yabe@med.toho-u.ac.jp.
Toshiya MuramatsuCardiology, Tokyo General Hospital, Tokyo, Japan.
Reiko TsukaharaCardiology, Tokyo General Hospital, Tokyo, Japan.
Masatsugu NakanoCardiology, Tokyo General Hospital, Tokyo, Japan.
Hideyuki TakimuraCardiology, Tokyo General Hospital, Tokyo, Japan.
Mami KawanoCardiology, Tokyo General Hospital, Tokyo, Japan.
Tasuku HadaCardiology, Tokyo General Hospital, Tokyo, Japan.
Takanori IkedaDepartment of Cardiovascular Medicine, Toho University Faculty of Medicine, 6-11-1 Omorinishi, Ota-ku, Tokyo, 143-8541, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The dynamic coronary roadmap (DCR) is a novel technology that creates a dynamic, motion-compensated, real-time overlay of the coronary arteries on a fluoroscopic image. Whether the DCR reduces contrast volume and enables safe and effective treatment was examined. A total of 146 patients undergoing percutaneous coronary intervention (PCI) from June 2017 to September 2017 in our hospital were retrospectively evaluated. Chronic total occlusion lesions, acute coronary syndrome, and hemodialysis patients were excluded. Patients were divided into the control group (PCI without DCR, 92 patients, 103 lesions) and the DCR group (38 patients, 43 lesions). The primary endpoint was contrast medium volume, and secondary endpoints were radiation dose, fluoroscopy time, and clinical success rate. There was no significant difference in the success rate (100% vs. 100%, P = 1.000) between the groups. Fluoroscopy time (16.3 ± 11.2 min. vs. 11.4 ± 5.5 min, P = 0.007) and contrast medium volume (152.1 ± 73.0 ml vs. 118.8 ± 49.7 ml, P = 0.006) were significantly lower in the DCR group than in the control group. DCR use during PCI was associated with a significant reduction in contrast volume and fluoroscopy time compared to a control group despite similar clinical, lesion, and procedural characteristics.

Indexed as

Coronary AngiographyPercutaneous Coronary InterventionRadiographic Image Interpretation, Computer-AssistedAgedAged, 80 and overContrast MediaCoronary Artery DiseaseCoronary VesselsDrug-Eluting StentsFemaleHumansMaleMiddle AgedPredictive Value of TestsRadiation DosageRadiation ExposureContrast MediaAngiographic systemsContrast medium volumePercutaneous coronary interventionStable angina

Identifiers

PMID31522247

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.