Evidence map›Paper›PMID 24827603›Full record

Observational studyEuropean journal of nuclear medicine and molecular imaging2014

Myocardial perfusion imaging for predicting cardiac events in Japanese patients with advanced chronic kidney disease: 1-year interim report of the J-ACCESS 3 investigation.

Nobuhiko Joki, Hiroki Hase, Yuhei Kawano, Satoko Nakamura, Kenichi Nakajima, Tsuguru Hatta, Shigeyuki Nishimura, Masao Moroi, Susumu Nakagawa, Tokuo Kasai and 9 more

Abstract readMulticenter StudyObservational Study
PubMed Publisher
In one paragraph

Observational study in European journal of nuclear medicine and molecular imaging, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
4.3field-weighted citation impact, top 6% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

  1. Prognostic value of myocardial perfusion imaging in patients with chronic kidney disease: A systematic review and meta-analysis.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2022
    Pooled it
  2. Trial
  3. Article
  4. Article
  5. Risk stratification based on J-ACCESS risk models with myocardial perfusion imaging: Risk versus outcomes of patients with chronic kidney disease.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2020
    Article
  6. Article
  7. Incremental prognostic value of SPECT-MPI in chronic kidney disease: A reclassification analysis.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2018
    Article
  8. Article
  9. Article
  10. 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

19 authors at 16 institutions in 1 country.

Nobuhiko JokiDepartment of Nephrology, Toho University Ohashi Medical Center, Tokyo, Japan.
Hiroki Hase
Yuhei Kawano
Satoko Nakamura
Kenichi Nakajima
Tsuguru Hatta
Shigeyuki Nishimura
Masao Moroi
Susumu Nakagawa
Tokuo Kasai
Hideo Kusuoka
Yasuchika Takeishi
Mitsuru Momose
Kazuya Takehana
Mamoru Nanasato
Shunichi Yoda
Hidetaka Nishina
Naoya Matsumoto
Tsunehiko Nishimura
National Cerebral and Cardiovascular Center · JPToho University Ohashi Medical Center · JPFukushima Medical University · JPJapanese Red Cross Nagoya Daini Hospital · JPKanazawa University Hospital · JPKansai Medical University · JPKyoto Prefectural University of Medicine · JPNihon University Itabashi Hospital · JPOsaka National Hospital · JPSaiseikai Central Hospital · JPSaitama Medical University · JPSurugadai Nihon University Hospital · JPToho University · JPTokyo Medical University Hachioji Medical Center · JPTokyo Women's Medical University · JPTsukuba Medical Center Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeWhether myocardial perfusion imaging (MPI) can predict cardiac events in patients with advanced conservative chronic kidney disease (CKD) remains unclear.

methodsThe present multicenter prospective cohort study aimed to clarify the ability of MPI to predict cardiac events in 529 patients with CKD and estimated glomerular filtration rates (eGFR) < 50 ml/min per 1.73(2) without a definitive diagnosis of coronary artery disease. All patients were assessed by stress-rest MPI with (99m)Tc-tetrofosmin and analyzed using summed defect scores and QGS software. Cardiac events were analyzed 1 year after registration.

resultsMyocardial perfusion abnormalities defined as summed stress score (SSS) ≥4 and ≥8 were identified in 19 and 7 % of patients, respectively. At the end of the 1-year follow-up, 33 (6.2 %) cardiac events had occurred that included cardiac death, sudden death, nonfatal myocardial infarction, and hospitalization due to heart failure. The event-free rates at that time were 0.95, 0.90, and 0.81 for groups with SSS 0-3, 4-7, and ≥8, respectively (p = 0.0009). Thus, patients with abnormal SSS had a higher incidence of cardiac events. Multivariate Cox regression analysis showed that SSS significantly impacts the prediction of cardiac events independently of eGFR and left ventricular ejection fraction.

conclusionMPI would be useful to stratify patients with advanced conservative CKD who are at high risk of cardiac events without adversely affecting damaged kidneys.

Indexed as

Myocardial Perfusion ImagingResearch ReportAdultAgedAged, 80 and overCardiovascular DiseasesFemaleHumansJapanMaleMiddle AgedRenal Insufficiency, ChronicSurvival Analysis

Identifiers

PMID24827603
OpenAlexW2148700409

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.