Evidence map›Paper›PMID 32601888›Full record

ArticleJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology2022

Diagnostic value of clinical risk scores for predicting normal stress myocardial perfusion imaging in subjects without coronary artery calcium.

Rosario Megna, Carmela Nappi, Valeria Gaudieri, Teresa Mannarino, Roberta Assante, Emilia Zampella, Roberta Green, Valeria Cantoni, Adriana D'Antonio, Parthiban Arumugam and 3 more

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Article in Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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

6 citing papers in PubMed.

  1. Article
  2. External validation and update of the J-ACCESS model in an Italian cohort of patients undergoing stress myocardial perfusion imaging.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2023
    Article
  3. The "power of zero" CAC validated for absence of ischemia on PET?Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2023
    Article
  4. Prognostic value of heart rate reserve in patients with suspected coronary artery disease undergoing stress myocardial perfusion imaging.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2022
    Article
  5. The power of zero calcium score: Is there a need for improvement?Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2022
    Article
  6. 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

13 authors.

Rosario MegnaInstitute of Biostructure and Bioimaging, National Council of Research, Naples, Italy.
Carmela NappiDepartment of Advanced Biomedical Sciences, University Federico II, Via Pansini 5, 80131, Naples, Italy.
Valeria GaudieriInstitute of Biostructure and Bioimaging, National Council of Research, Naples, Italy.
Teresa MannarinoDepartment of Advanced Biomedical Sciences, University Federico II, Via Pansini 5, 80131, Naples, Italy.
Roberta AssanteDepartment of Advanced Biomedical Sciences, University Federico II, Via Pansini 5, 80131, Naples, Italy.
Emilia ZampellaDepartment 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.
Valeria CantoniDepartment of Advanced Biomedical Sciences, University Federico II, Via Pansini 5, 80131, Naples, Italy.
Adriana D'AntonioDepartment of Advanced Biomedical Sciences, University Federico II, Via Pansini 5, 80131, Naples, Italy.
Parthiban ArumugamDepartment of Nuclear Medicine, Central Manchester Foundation Trust, Manchester, UK.
Wanda AcampaInstitute of Biostructure and Bioimaging, National Council of Research, Naples, Italy.
Mario PetrettaDepartment of Translational Medical Sciences, University Federico II, 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 evaluated if risk scores commonly used to predict the absence of significant stenosis at coronary computed tomography (CT) angiography are useful to predict a normal stress myocardial perfusion imaging (MPI) study.

methodsOur cohort included a total of 1422 consecutive patients with zero coronary artery calcium score (ZCS) who underwent

resultsIn the overall population, the prevalence of abnormal SSS was 0.10 and the prevalence of reduced MPR was 0.17 (both P < .001).The observed frequencies of abnormal SSS and reduced MPR vs the probabilities predicted by the Genders and Alshahrani models were above the diagonal identity line, highlighting an underestimation of the observed occurrence by these models. The areas under the receiver operating characteristic curve of the Genders and Alshahrani models indicated lack of discriminative ability for predicting abnormal SSS (0.547 and 0.527) and reduced MPR (0.509 and 0.538). The Hosmer-Lemeshow test revealed that both models underestimated the observed occurrence of abnormal SSS and reduced MPR.

conclusionsAvailable models were unable to identify among patients with ZCS those with a low probability of a normal stress MPI study. Thus, an optimal approach to rule out from MPI patients without detectable coronary calcium still needs to be improved.

Indexed as

Coronary Artery DiseaseMyocardial Perfusion ImagingCalciumCoronary AngiographyCoronary VesselsFemaleHumansMalePositron Emission Tomography Computed TomographyRisk FactorsTomography, Emission-Computed, Single-PhotonCalciumCADdiagnostic and prognostic applicationMPIPET

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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.