Evidence map›Paper›PMID 26758375›Full record

SynthesisJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology2016

Long-term prognostic value of stress myocardial perfusion imaging and coronary computed tomography angiography: A meta-analysis.

Valeria Cantoni, Roberta Green, Wanda Acampa, Mario Petretta, Domenico Bonaduce, Marco Salvatore, Alberto Cuocolo

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 3 pooled it
–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

13 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Negative predictive value of stress myocardial perfusion imaging and coronary computed tomography angiography: A meta-analysis.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2018
    Pooled it
  3. Guideline
  4. Trial
  5. Review
  6. Article
  7. Temporal trends of abnormal myocardial perfusion imaging in a cohort of Italian subjects: Relation with cardiovascular risk factors.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2020
    Article
  8. The machine learning approach: Artificial intelligence is coming to support critical clinical thinking.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2020
    Article
  9. Myocardial perfusion imaging prior to coronary revascularization: From risk stratification to procedure guidance.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2019
    Article
  10. Review
  11. Observational
  12. Article
  13. Review of cardiovascular imaging in the journal of nuclear cardiology in 2016: Part 2 of 2-myocardial perfusion imaging.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2017
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Valeria CantoniDepartment of Advanced Biomedical Sciences, University Federico II, Via Pansini 5, 80131, Naples, Italy.
Roberta GreenDepartment of Advanced Biomedical Sciences, University Federico II, Via Pansini 5, 80131, Naples, Italy.
Wanda AcampaInstitute of Biostructure and Bioimaging, National Council of Research, Naples, Italy.
Mario PetrettaDepartment of Translational Medicine, University Federico II, Naples, Italy.
Domenico BonaduceDepartment of Translational Medicine, University Federico II, Naples, Italy.
Marco SalvatoreIRCCS SDN, Naples, Italy.
Alberto CuocoloDepartment of Advanced Biomedical Sciences, University Federico II, Via Pansini 5, 80131, Naples, Italy. cuocolo@unina.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe conducted a meta-analysis to compare the long-term prognostic value of stress single-photon emission computed tomography myocardial perfusion imaging (MPI) and coronary computed tomography angiography (CCTA) for adverse cardiovascular events in subjects with suspected or known coronary artery disease. METHODS AND

resultsWe searched PubMed, Cochrane, Web of Science, and Scopus database between January 2000 and December 2014 for stress MPI and CCTA studies that followed up ≥ 100 subjects for ≥ 2.5 years and provided the unadjusted and/or adjusted hazard ratio (HR) at Cox regression analysis. Summary risk estimates for abnormal perfusion at MPI or ≥ 50% coronary stenosis at CCTA were derived in random effect regression analysis, and causes of heterogeneity were determined in meta-regression analysis. We identified 21 eligible articles (10 MPI and 11 CCTA) including 25,258 participants (13,484 in MPI and 11,774 in CCTA studies) with suspected or known coronary artery disease. Among the included publications, 8 MPI and 8 CCTA studies reported the HR for the occurrence of hard events (death and nonfatal myocardial infarction). The pooled HR was comparable for MPI and CCTA studies. The HR for the occurrence of a combined endpoint including revascularization as event was reported in 4 MPI and 6 CCTA studies. The pooled HR was higher for CCTA compared to MPI (P < .05) also when only MPI and CCTA studies with limited representation of prior CAD were considered.

conclusionsThe long-term prognostic value of MPI and CCTA for the occurrence of hard events is similar. However, the association between event-free survival and CCTA is higher than MPI when coronary revascularization is included in the endpoint.

Indexed as

Computed Tomography AngiographyCoronary AngiographyMyocardial Perfusion ImagingCoronary Artery DiseaseHumansPrognosiscomputed tomography (CT)coronary artery diseasemeta-analysisMyocardial perfusion imaging: SPECTprognosis

Identifiers

What OpenQuestion holds

Textmetadata
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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 OpenQuestion graph.