Evidence map›Paper›PMID 29948890›Full record

ArticleJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology2020

Risk stratification based on J-ACCESS risk models with myocardial perfusion imaging: Risk versus outcomes of patients with chronic kidney disease.

Kenichi Nakajima, Satoko Nakamura, Hiroki Hase, Yasuchika Takeishi, Shigeyuki Nishimura, Yuhei Kawano, Tsunehiko Nishimura

Abstract readMulticenter Study
In one paragraph

Article in Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology, 2020. 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

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

7 citing papers in PubMed.

  1. Article
  2. External validation and update of the J-ACCESS model in an Italian cohort of patients undergoing stress myocardial perfusion imaging.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2023
    Article
  3. Review
  4. Seeing is believing: Visualization of multivariable risk models.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2023
    Article
  5. Article
  6. Article
  7. Cardiovascular risk prediction models with myocardial perfusion imaging in chronic kidney disease: ACCESSing digits or focusing on the patient?Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2020
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Kenichi NakajimaDepartment of Nuclear Medicine, Kanazawa University Hospital, Kanazawa, 920-8641, Japan.
Satoko NakamuraDivision of Hypertension and Nephrology, National Cerebral and Cardiovascular Center, Suita, Japan.
Hiroki HaseDepartment of Nephrology, Toho University Ohashi Medical Center, Tokyo, Japan.
Yasuchika TakeishiDepartment of Cardiovascular Medicine, Fukushima Medical University, Fukushima, Japan.
Shigeyuki NishimuraSaitama Medical University International Medical Center, Hidaka, Japan.
Yuhei KawanoDivision of Hypertension and Nephrology, National Cerebral and Cardiovascular Center, Suita, Japan.
Tsunehiko NishimuraGraduate School of Medical Science, Kyoto Prefectural University of Medicine, 465 Kajiicho, Kawara-machi Hirokoji, Kamigyo-ku, Kyoto, 602-8566, Japan. nisimura@koto.kpu-m.ac.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to validate the accuracy of major-event risk models created in the multicenter J-ACCESS prognostic study in a new cohort of patients with chronic kidney disease (CKD). METHODS AND

resultsThree multivariable J-ACCESS risk models were created to predict major cardiac events (cardiac death, non-fatal acute coronary syndrome, and severe heart failure requiring hospitalization): Model 1, four variables of age, summed stress score, left ventricular ejection fraction and diabetes; Model 2 with five variables including estimated glomerular filtration rate (eGFR, continuous); and Model 3 with categorical eGFR. The validation data used three-year (3y) cohort of patients with CKD (n = 526, major events 11.2%). Survival analysis of low (< 3%/3y), intermediate (3% to 9%/3y), and high (> 9%/3y)-risk groups showed good stratification by all three models (actual event rates: 3.1%, 9.9%, and 15.9% in the three groups with eGFR ≥ 15 mL/min/1.73 m

conclusionThe J-ACCESS risk models can stratify patients with CKD and eGFR ≥ 15 mL/min/1.73 m

Indexed as

AgedCohort StudiesFemaleGlomerular Filtration RateHeart DiseasesHospitalizationHumansMaleMiddle AgedMyocardial Perfusion ImagingPrognosisRenal Insufficiency, ChronicRisk AssessmentStroke VolumeSurvival Analysiscardiac eventsC-reactive proteinheart failuremultivariable logistic analysisPrognosis

Identifiers

PMID29948890
PMCPMC7031191

What Socratic holds

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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 Socratic graph.