Evidence map›Paper›PMID 35308578›Full record

ArticleThe Lancet regional health. Western Pacific2022

Regional variations in the process of care for patients undergoing percutaneous coronary intervention in Japan.

Satoshi Shoji, Kyohei Yamaji, Alexander T Sandhu, Nobuhiro Ikemura, Yasuyuki Shiraishi, Taku Inohara, Paul A Heidenreich, Tetsuya Amano, Yuji Ikari, Shun Kohsaka

Open access · goldAbstract read
In one paragraph

Article in The Lancet regional health. Western Pacific, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.6field-weighted citation impact, top 16% of its field
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

8 citing papers in PubMed, 10 citations in OpenAlex.

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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

10 authors at 6 institutions in 2 countries.

Satoshi ShojiDepartment of Cardiology, Hino Municipal Hospital, Tokyo, Japan.
Kyohei YamajiDepartment of Cardiovascular Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Alexander T SandhuDepartment of Medicine, Division of Cardiovascular Medicine, Stanford, CA, USA.
Nobuhiro IkemuraDepartment of Cardiology, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo 160-8582, Japan.
Yasuyuki ShiraishiDepartment of Cardiology, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo 160-8582, Japan.
Taku InoharaDepartment of Cardiology, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo 160-8582, Japan.
Paul A HeidenreichDepartment of Medicine, Division of Cardiovascular Medicine, Stanford, CA, USA.
Tetsuya AmanoDepartment of Cardiology, Aichi Medical University, Aichi, Japan.
Yuji IkariDepartment of Cardiology, Tokai University School of Medicine, Kanagawa, Japan.
Shun KohsakaDepartment of Cardiology, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo 160-8582, Japan.
Keio University Hospital · JPAichi Medical University · JPKyoto University · JPStanford Medicine · USTokai University · JPVA Palo Alto Health Care System · US

Funding

The Effect of Value-based Payment on Heart Failure Quality of Care (Value-HF)K23HL151672 · NHLBI · STANFORD UNIVERSITY · PI SANDHU, ALEXANDER · 2020 to 2024
$854k
NHLBI NIH HHS K23 HL151672
6 · The paper itself

Abstract

Background: Measuring the quality of care has been central for improving the outcomes of patients undergoing percutaneous coronary intervention (PCI). This study described the performance rates and regional variations in quality metrics for PCI using a representative national Japanese registry. Methods: Overall, 760,854 patients across 714 institutions (2016-2018) were analysed. Quality metrics included preprocedural antiplatelet therapy use, door-to-balloon time ≤90 min for ST-elevation myocardial infarction, transradial approach, and preprocedural noninvasive stress testing for elective cases in 47 Japanese prefectures. Coronary computed tomography angiography (CCTA) and fractional flow reserve (FFR) were also evaluated. Factors associated with preprocedural testing rates were evaluated using multivariable linear regression. Findings: Rates of preprocedural antiplatelet therapy use were high with low variations (96·4% [94·7-97·2%]), but there was still substantial room for improvement in the rates of door-to-balloon time (74·7% [71·2-78·9%]) and transradial approach use (70·9% [65·1-73·4%]). Rates of preprocedural noninvasive stress testing were low with substantial variation (36·6% [27·1-49·7%]). Additionally, we found substantial variations in CCTA (50·0% [39·5-55·1%]) and FFR measurement (15·7% [113·-18·3%]) rates. The number of scintigraphy scanners/ prefecture was associated with the performance of noninvasive stress testing (13·4% [95% CI, 2·45-24·4%] increase for every 1/100,000 population increase in scanners). Interpretations: We observed substantial regional variation in the use of preprocedural testing, and its performance was directly related to nuclear-scanner availability. These findings suggest the need for targeted efforts in improving testing rates, whether by optimising resource allocation or additional education or feedback mechanisms. Funding: This study was funded by the Japan Society for the Promotion of Science (Grant Nos. 20H03915, 16H05215, 16KK0186, and 20K22883) and by the Ministry of Health, Labor and Welfare Grants-in-Aid for Scientific Research Program (Grant No. 21FA1015). The J-PCI registry is led and supported by the Japanese Association of Cardiovascular Intervention and Therapeutics.

Indexed as

Coronary computed tomography angiographyFractional flow reservePercutaneous coronary interventionPreprocedural testingQuality metricsRegional variations

Identifiers

PMID35308578
PMCPMC8928076
OpenAlexW4220938865

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.