Evidence map›Paper›PMID 24890378›Full record

ArticleJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology2014

A novel clinically relevant segmentation method and corresponding maximal ischemia score to risk-stratify patients undergoing myocardial perfusion scintigraphy.

Francesco Nudi, Annamaria Pinto, Enrica Procaccini, Giandomenico Neri, Maurizio Vetere, Fabrizio Tomai, Achille Gaspardone, Giuseppe Biondi-Zoccai, Orazio Schillaci

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In one paragraph

Article in Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

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

  1. Update of the Brazilian Guideline on Nuclear Cardiology - 2020.Arquivos brasileiros de cardiologia · 2020
    Guideline
  2. Observational
  3. Myocardial-coronary fusion imaging with positron emission tomography and computed tomography: Benchmarking and slingshotting.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2020
    Article
  4. Hybrid anatomo-functional imaging of coronary artery disease: Beneficial irrespective of its core components.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2019
    Review
  5. What is this image? 2018: Image 1 result : The value of diastole perfusion.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2018
    Article
  6. Prognostic accuracy of myocardial perfusion imaging in octogenarians.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2018
    Article
  7. Bridging the Atlantic gap in clinical guidelines for non-ST-elevation acute coronary syndromes.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2018
    Article
  8. ISCHEMIA, to revascularize or not to revascularize.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2017
    Article
  9. Article
  10. Article
  11. Review of cardiovascular imaging in The Journal of Nuclear Cardiology in 2014: Part 2 of 2: Myocardial perfusion imaging.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2015
    Review
  12. Novel approaches to risk stratification with semi-quantitative scoring systems in nuclear cardiology.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2014
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Francesco NudiService of Nuclear Cardiology, Madonna della Fiducia Clinic, Via Cesare Correnti 6, 00179, Rome, Italy, francesco.nudi@etisan.eu.
Annamaria Pinto
Enrica Procaccini
Giandomenico Neri
Maurizio Vetere
Fabrizio Tomai
Achille Gaspardone
Giuseppe Biondi-Zoccai
Orazio Schillaci

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMyocardial perfusion scintigraphy (MPS) represents a key prognostic tool, but its predictive yield is far from perfect. We developed a novel clinically relevant segmentation method and a corresponding maximal ischemia score (MIS) in order to risk-stratify patients undergoing MPS.

methodsPatients referred for MPS were identified, excluding those with evidence of myocardial necrosis or prior revascularization. A seven-region segmentation approach was adopted for left ventricular myocardium, with a corresponding MIS distinguishing five groups (no, minimal, mild, moderate, or severe ischemia). The association between MIS and clinical events was assessed at 1 year and at long-term follow-up.

resultsA total of 8,714 patients were included, with a clinical follow-up of 31 ± 20 months. Unadjusted analyses showed that subjects with a higher MIS were significantly different for several baseline and test data, being older, having lower ejection fraction, and achieving lower workloads (P < .05 for all). Adverse outcomes were also more frequent in patients with higher levels of ischemia, including cardiac death, myocardial infarction (MI), and their composites (P < .05 for all). Differences in adverse events remained significant even after extensive multivariable adjustment (hazard ratio for each MIS increment = 1.57 [1.29-1.90], P < .001 for cardiac death; 1.19 [1.04-1.36], P = .013 for MI; 1.23 [1.09-1.39], P = .001 for cardiac death/MI).

conclusionsOur novel segmentation method and corresponding MIS efficiently yield satisfactory prognostic information.

Indexed as

AgedFemaleHumansMaleMiddle AgedMyocardial IschemiaMyocardial Perfusion ImagingPrognosisRetrospective StudiesRisk

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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.