Evidence map›Paper›PMID 26404015›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2016

Prognostic value of myocardial perfusion single photon emission computed tomography for major adverse cardiac cerebrovascular and renal events in patients with chronic kidney disease: results from first year of follow-up of the Gunma-CKD SPECT multicenter study.

Shu Kasama, Takuji Toyama, Makito Sato, Hirokazu Sano, Tetsuya Ueda, Toyoshi Sasaki, Takehiro Nakahara, Tetsuya Higuchi, Yoshito Tsushima, Masahiko Kurabayashi

Abstract readControlled Clinical TrialMulticenter Study
PubMed Publisher
In one paragraph

Article in European journal of nuclear medicine and molecular imaging, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 30% 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

4 citing papers in PubMed, 13 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 3 institutions in 1 country.

Shu KasamaDepartment of Medicine and Biological Science (Cardiovascular Medicine), Gunma University Graduate School of Medicine, 3-39-22 Showa- machi, Maebashi, Gunma, 371-8511, Japan. s-kasama@bay.wind.ne.jp.
Takuji ToyamaDepartment of Cardiovascular Medicine, Gunma Prefectural Cardiovascular Center, Maebashi, Japan.
Makito SatoDepartment of Medicine and Biological Science (Cardiovascular Medicine), Gunma University Graduate School of Medicine, 3-39-22 Showa- machi, Maebashi, Gunma, 371-8511, Japan.
Hirokazu SanoDepartment of Medicine and Biological Science (Cardiovascular Medicine), Gunma University Graduate School of Medicine, 3-39-22 Showa- machi, Maebashi, Gunma, 371-8511, Japan.
Tetsuya UedaDivision of Cardiology, Fujioka General Hospital, Fujioka, Japan.
Toyoshi SasakiDivision of Cardiology, Takasaki General Medical Center, Takasaki, Japan.
Takehiro NakaharaDepartment of Medicine and Biological Science (Cardiovascular Medicine), Gunma University Graduate School of Medicine, 3-39-22 Showa- machi, Maebashi, Gunma, 371-8511, Japan.
Tetsuya HiguchiDepartment of Diagnostic Radiology and Nuclear Medicine, Gunma University Graduate School of Medicine, Maebashi, Japan.
Yoshito TsushimaDepartment of Diagnostic Radiology and Nuclear Medicine, Gunma University Graduate School of Medicine, Maebashi, Japan.
Masahiko KurabayashiDepartment of Medicine and Biological Science (Cardiovascular Medicine), Gunma University Graduate School of Medicine, 3-39-22 Showa- machi, Maebashi, Gunma, 371-8511, Japan.
Gunma University · JPGunma Prefectural Cardiovascular Center · JPNational Hospital Organization Takasaki Medical Center · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposePatients with chronic kidney disease (CKD) have an increased risk of adverse cardio-cerebrovascular events. We examined whether stress myocardial perfusion single photon emission computed tomography (SPECT) provides reliable prognostic markers for these patients.

methodsIn this multicenter, prospective cohort trial from the Gunma-CKD SPECT study protocol, patients with CKD [estimated glomerular filtration rate (eGFR) < 60 min/ml per 1.73 m(2)] undergoing stress (99m)Tc-tetrofosmin SPECT for suspected or possible ischemic heart disease were initially followed for 1 year, with the following study endpoints: primary, the occurrence of cardiac deaths (CDs), and secondary, major adverse cardiac, cerebrovascular, and renal events (MACCREs). The summed stress score (SSS), summed rest score, and summed difference score (SDS) were estimated with the standard 17-segment, 5-point scoring model. Left ventricular end-diastolic volume, end-systolic volume (ESV), and ejection fraction were measured using electrocardiogram-gated SPECT.

resultsDuring the first year of follow-up, 69 of 299 patients experienced MACCREs (CD, n = 7; non-fatal myocardial infarction, n = 3; hospitalization for heart failure, n = 13; cerebrovascular accident, n = 1; need for revascularization, n = 38; and renal failure, i.e., hemodialysis initiation, n = 7). ESV and SSS were associated with CDs (p < 0.05), and eGFR and SDS were associated with MACCREs (p < 0.05), in multivariate logistic analysis. Patients with high ESV and high SSS had a significantly higher CD rate during the first year than the other CKD patient subgroups (p < 0.05). Patients with low eGFR and high SDS had a significantly higher MACCRE rate than the other subgroups (p < 0.05).

conclusionMyocardial perfusion SPECT can provide reliable prognostic markers for patients with CKD.

Indexed as

Myocardial Perfusion ImagingTomography, Emission-Computed, Single-PhotonAgedCardiovascular DiseasesCerebrovascular DisordersFemaleHumansMaleMiddle AgedRenal Insufficiency, ChronicChronic kidney diseaseCoronary artery diseaseMyocardial perfusion SPECT

Identifiers

PMID26404015
OpenAlexW2115466253

What OpenQuestion holds

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Registered trials

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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.