Evidence map›Paper›PMID 31122979›Full record

ArticleBMJ open2019

Risk stratification model for in-hospital death in patients undergoing percutaneous coronary intervention: a nationwide retrospective cohort study in Japan.

Taku Inohara, Shun Kohsaka, Kyohei Yamaji, Hideki Ishii, Tetsuya Amano, Shiro Uemura, Kazushige Kadota, Hiraku Kumamaru, Hiroaki Miyata, Masato Nakamura

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
3.2field-weighted citation impact, top 7% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.

  1. Pooled it
  2. Observational
  3. Article
  4. Article
  5. Harnessing Artificial Intelligence for Innovation in Interventional Cardiovascular Care.Journal of the Society for Cardiovascular Angiography & Interventions · 2025
    Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
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 9 institutions in 1 country.

Taku InoharaDepartment of Cardiology, Keio University Hospital, Shinjuku-ku, Tokyo, Japan.
Shun KohsakaJapanese Association of Cardiovascular Intervention and Therapeutics, Tokyo, Japan.
Kyohei YamajiDivision of Cardiology, Kokura Memorial Hospital, Kitakyushu, Fukuoka, Japan.
Hideki IshiiDepartment of Cardiology, Graduate School of Medicine, Nagoya University, Nagoya, Japan.
Tetsuya AmanoDepartment of Cardiology, Aichi Medical University, Aichi-gun, Aichi, Japan.
Shiro UemuraDepartment of Cardiology, Kawasaki Medical School, Kurashiki, Okayama, Japan.
Kazushige KadotaDepartment of Cardiology, Kurashiki Central Hospital, Kurashiki, Okayama, Japan.
Hiraku KumamaruDivision of Cardiovascular Medicine, Toho University Ohashi Medical Center, National Clinical Database, Tokyo, Japan.
Hiroaki MiyataDivision of Cardiovascular Medicine, Toho University Ohashi Medical Center, National Clinical Database, Tokyo, Japan.
Masato NakamuraOhashi Medical Center, Toho University, Tokyo, Japan.
Toho University Ohashi Medical Center · JPAichi Medical University · JPJapan Association for Diabetes Education and Care · JPKawasaki Medical School · JPKeio University Hospital · JPKokura Memorial Hospital · JPKurashiki Central Hospital · JPNagoya University · JPToho University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo provide an accurate adjustment for mortality in a benchmark, developing a risk prediction model from its own dataset is mandatory. We aimed to develop and validate a risk model predicting in-hospital mortality in a broad spectrum of Japanese patients after percutaneous coronary intervention (PCI).

designA retrospective cohort study was conducted.

settingThe Japanese-PCI (J-PCI) registry includes a nationally representative retrospective sample of patients who underwent PCI and covers approximately 88% of all PCIs in Japan.

participantsOverall, 669 181 patients who underwent PCI between January 2014 and December 2016 in 1018 institutes.

main outcome measuresIn-hospital death.

resultsThe study population (n=669 181; mean (SD) age, 70.1(11.0) years; women, 24.0%) was divided into two groups: 50% of the sample was used for model derivation (n=334 591), while the remaining 50% was used for model validation (n=334 590). Using the derivation cohort, both 'full' and 'preprocedure' risk models were developed using logistic regression analysis. Using the validation cohort, the developed risk models were internally validated. The in-hospital mortality rate was 0.7%. The preprocedure model included age, sex, clinical presentation, previous PCI, previous coronary artery bypass grafting, hypertension, dyslipidaemia, smoking, renal dysfunction, dialysis, peripheral vascular disease, previous heart failure and cardiogenic shock. Angiographic information, such as the number of diseased vessel and location of the target lesion, was also included in the full model. Both models performed well in the entire validation cohort (C-indexes: 0.929 and 0.926 for full and preprocedure models, respectively) and among prespecified subgroups with good calibration, although both models underestimated the risk of mortality in high-risk patients with the elective procedure.

conclusionsThese simple models from a nationwide J-PCI registry, which is easily applicable in clinical practice and readily available directly at the patients' presentation, are valid tools for preprocedural risk stratification of patients undergoing PCI in contemporary Japanese practice.

Indexed as

Hospital MortalityPercutaneous Coronary InterventionAdultAgedAged, 80 and overAge FactorsAngina PectorisCohort StudiesComorbidityCoronary AngiographyCoronary Artery DiseaseDyslipidemiasFemaleHeart FailureHumansHypertensionIn-hospital mortalitypercutaneous coronary interventionrisk model

Identifiers

PMID31122979
PMCPMC6538054
OpenAlexW2945218143

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.