Evidence map›Paper›PMID 28792136›Full record

ArticleYonsei medical journal2017

Impact of Follow-Up Ischemia on Myocardial Perfusion Single-Photon Emission Computed Tomography in Patients with Coronary Artery Disease.

Se Hun Kang, Hyo In Choi, Young Hak Kim, Eun Young Lee, Jung Min Ahn, Seungbong Han, Pil Hyung Lee, Jae Hyung Roh, Sung Han Yun, Duk Woo Park and 6 more

Open access · goldAbstract read
In one paragraph

Article in Yonsei medical journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 41% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. 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

16 authors at 5 institutions in 1 country.

Se Hun KangDepartment of Cardiology, CHA Bundang Medical Center, CHA University, Seongnam, Korea.
Hyo In ChoiDivision of Cardiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea.
Young Hak KimDivision of Cardiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea. mdyhkim@amc.seoul.kr.
Eun Young LeeDivision of Cardiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea.
Jung Min AhnDivision of Cardiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea.
Seungbong HanDepartment of Applied Statistics, Gachon University, Seongnam, Korea.
Pil Hyung LeeDivision of Cardiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea.
Jae Hyung RohDivision of Cardiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea.
Sung Han YunDivision of Cardiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea.
Duk Woo ParkDivision of Cardiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea.
Soo Jin KangDivision of Cardiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea.
Seung Whan LeeDivision of Cardiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea.
Cheol Whan LeeDivision of Cardiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea.
Dae Hyuk MoonDepartment of Nuclear Medicine, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea.
Seong Wook ParkDivision of Cardiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea.
Seung Jung ParkDivision of Cardiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea.
Asan Medical Center · KRUlsan College · KRUniversity of Ulsan · KRCHA University · KRGachon University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeFew studies have reported on predicting prognosis using myocardial perfusion single-photon emission computed tomography (SPECT) during coronary artery disease (CAD) treatment. Therefore, we aimed to assess the clinical implications of myocardial perfusion SPECT during follow-up for CAD treatment. MATERIALS AND

methodsWe enrolled 1153 patients who had abnormal results at index SPECT and underwent follow-up SPECT at intervals ≥6 months. Major adverse cardiac events (MACE) were compared in overall and 346 patient pairs after propensity-score (PS) matching.

resultsAbnormal SPECT was associated with a significantly higher risk of MACE in comparison with normal SPECT over the median of 6.3 years (32.3% vs. 19.8%; unadjusted p<0.001). After PS matching, abnormal SPECT posed a higher risk of MACE [32.1% vs. 19.1%; adjusted hazard ratio (HR)=1.73; 95% confidence interval (CI)=1.27-2.34; p<0.001] than normal SPECT. After PS matching, the risk of MACE was still higher in patients with abnormal follow-up SPECT in the revascularization group (30.2% vs. 17.9%; adjusted HR=1.73; 95% CI=1.15-2.59; p=0.008). Low ejection fraction [odds ratio (OR)=5.33; 95% CI=3.39-8.37; p<0.001] and medical treatment (OR=2.68; 95% CI=1.93-3.72; p<0.001) were independent clinical predictors of having an abnormal result on follow-up SPECT.

conclusionAbnormal follow-up SPECT appears to be associated with a high risk of MACE during CAD treatment. Follow-up SPECT may play a potential role in identifying patients at high cardiovascular risk.

Indexed as

PerfusionCoronary Artery DiseaseFemaleFollow-Up StudiesHumansKaplan-Meier EstimateMaleMiddle AgedMyocardial IschemiaPropensity ScoreProportional Hazards ModelsRisk FactorsTomography, Emission-Computed, Single-PhotonTreatment Outcomecoronary artery diseaseprognosisSingle-photon emission computerized tomography

Identifiers

PMID28792136
PMCPMC5552647
OpenAlexW2743504995

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.