Evidence map›Paper›PMID 34924456›Full record

ArticleJournal of atherosclerosis and thrombosis2022

Medium-Term Impact of the Coronavirus Disease 2019 Pandemic on the Practice of Percutaneous Coronary Interventions in Japan.

Shusuke Watanabe, Jung-Ho Shin, Tetsuji Morishita, Daisuke Takada, Susumu Kunisawa, Yuichi Imanaka

Abstract read
In one paragraph

Article in Journal of atherosclerosis and thrombosis, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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. Observational
  2. Article
  3. Article
  4. Article
  5. COVID-19 and Coronary Intervention in Japan.Journal of atherosclerosis and thrombosis · 2022
    Article
  6. Article
  7. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Shusuke WatanabeDepartment of Healthcare Economics and Quality Management, Graduate School of Medicine, Kyoto University.
Jung-Ho ShinDepartment of Healthcare Economics and Quality Management, Graduate School of Medicine, Kyoto University.
Tetsuji MorishitaDepartment of Healthcare Economics and Quality Management, Graduate School of Medicine, Kyoto University.
Daisuke TakadaDepartment of Healthcare Economics and Quality Management, Graduate School of Medicine, Kyoto University.
Susumu KunisawaDepartment of Healthcare Economics and Quality Management, Graduate School of Medicine, Kyoto University.
Yuichi ImanakaDepartment of Healthcare Economics and Quality Management, Graduate School of Medicine, Kyoto University.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsDeclines in cardiovascular diseases during the first surge of coronavirus disease 2019 (COVID-19) have been reported. With the repeating surges of COVID-19, we aim to investigate the medium-term impact of the COVID-19 pandemic on the practice of percutaneous coronary interventions (PCIs).

methodsWe performed a descriptive analysis of rates of PCIs, utilizing administrative data in Japan. Changes in the proportion of severe cases and in-hospital mortality since the start of the COVID-19 pandemic were investigated using interrupted time series (ITS) analyses.

resultsFrom April 2018 to February 2021, 38,696 and 28,585 cases of elective and emergency PCIs, respectively, were identified. The rates of PCIs decreased during the first and third COVID-19 surges. The ratios of monthly rates of elective PCIs to that in the corresponding months during the previous 2 years were 50.3% in May 2020 and 76.1% in January 2021. The decrease in rates of emergency PCIs was smaller than that of elective PCIs. The ITS analyses did not identify any significant changes in the proportion of severe cases and in-hospital mortality.

conclusionsWe found that the impacts of COVID-19 on PCIs were larger in the first surge than in the subsequent and larger in the elective than in the emergency; this continued over the medium-term. During the COVID-19 pandemic, in-hospital mortality of cases undertaking emergency PCIs did not change.

Indexed as

COVID-19Percutaneous Coronary InterventionHospital MortalityHumansJapanPandemicsAcute myocardial infarctionCOVID-19Mortality ratePercutaneous coronary interventionStable angina

Identifiers

PMID34924456
PMCPMC9623075

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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.