Evidence map›Paper›PMID 28205072›Full record

SynthesisJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology2018

Negative predictive value of stress myocardial perfusion imaging and coronary computed tomography angiography: A meta-analysis.

Roberta Green, Valeria Cantoni, Mario Petretta, Wanda Acampa, Mariarosaria Panico, Pietro Buongiorno, Giorgio Punzo, 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, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Combined evaluation of CAC score and myocardial perfusion imaging in patients at risk of cardiovascular disease: where are we and what do the data say.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2023
    Review
  6. Review
  7. Article
  8. Article
  9. 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
  10. Article
  11. Long-term prognostic value of low-dose normal stress-only myocardial perfusion imaging by wide beam reconstruction: A competing risk analysis.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2020
    Article
  12. 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
  13. Review
  14. Article
  15. Meta-analyses: How to critically appraise them?Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2018
    Article
  16. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Roberta GreenDepartment of Advanced Biomedical Sciences, University Federico II, Via Pansini 5, 80131, Naples, Italy.
Valeria CantoniDepartment of Advanced Biomedical Sciences, University Federico II, Via Pansini 5, 80131, Naples, Italy.
Mario PetrettaDepartment of Translational Medical Sciences, University Federico II, Naples, Italy.
Wanda AcampaDepartment of Advanced Biomedical Sciences, University Federico II, Via Pansini 5, 80131, Naples, Italy.
Mariarosaria PanicoInstitute of Biostructure and Bioimaging, National Council of Research, Naples, Italy.
Pietro BuongiornoDepartment of Advanced Biomedical Sciences, University Federico II, Via Pansini 5, 80131, Naples, Italy.
Giorgio PunzoInstitute of Biostructure and Bioimaging, National Council of Research, 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

backgroundComparing the prognostic value of a negative finding by stress single-photon emission computed tomography myocardial perfusion imaging (MPI) and coronary computed tomography angiography (CCTA) may be useful to evaluate how better identify low-risk patients. We performed a meta-analysis to compare the long-term negative predictive value (NPV) of normal stress MPI and normal CCTA in subjects with suspected coronary artery disease (CAD). METHODS AND

resultsStudies published between January 2000 and November 2016 were identified by database search. We included MPI and CCTA studies that followed-up ≥100 subjects for ≥5 years and providing data on clinical outcome for patients with negative tests. Summary risk estimates for normal 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 12 eligible articles (6 MPI and 6 CCTA) including 33,129 patients (26,757 in MPI and 6372 in CCTA studies) with suspected CAD. The pooled annualized event rate (AER) for occurrence of hard events (death and nonfatal myocardial infarction) was 1.06 (95% confidence interval, CI 0.49-1.64) in MPI and 0.61 (95% CI 0.35-0.86) in CCTA studies. The pooled NPV was 91% (95% CI 86-96) in MPI and 96 (95% CI 95-98) in CCTA studies. The summary rates between MPI and CCTA were not statistically different. At meta-regression analysis, no significant association between AER and clinical and demographical variables considered was found for overall studies.

conclusionsStress MPI and CCTA have a similar ability to identify low-risk patients with suspected CAD.

Indexed as

AdultAgedComputed Tomography AngiographyCoronary AngiographyCoronary Artery DiseaseFemaleHumansMaleMiddle AgedMyocardial Perfusion ImagingPredictive Value of TestsPrognosiscomputed tomography (CT)coronary anatomyMyocardial perfusion imagingprognosisSPECT

Identifiers

What OpenQuestion 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 OpenQuestion graph.