Evidence map›Paper›PMID 36598750›Full record

ArticleJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology2023

Correction to: Integration of coronary artery calcium scoring from CT attenuation scans by machine learning improves prediction of adverse cardiovascular events in patients undergoing SPECT/CT myocardial perfusion imaging.

Attila Feher, Konrad Pieszko, Robert Miller, Mark Lemley, Aakash Shanbhag, Cathleen Huang, Leonidas Miras, Yi-Hwa Liu, Albert J Sinusas, Edward J Miller and 1 more

Abstract readPublished Erratum
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology, 2023. 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
–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

2 citing papers in PubMed.

  1. Article
  2. Holistic AI analysis of hybrid cardiac perfusion images for mortality prediction.medRxiv : the preprint server for health sciences · 2024
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Attila Feher *Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, Dana 3, P.O. Box 208017, New Haven, CT, 06520, USA. attila.feher@yale.edu.
Konrad Pieszko *Departments of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences and Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Robert MillerDepartments of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences and Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Mark LemleyDepartments of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences and Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Aakash ShanbhagDepartments of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences and Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Cathleen HuangDepartments of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences and Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Leonidas MirasDivision of Cardiology, Bridgeport Hospital, Yale University School of Medicine, Bridgeport, CT, USA.
Yi-Hwa LiuSection of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, Dana 3, P.O. Box 208017, New Haven, CT, 06520, USA.
Albert J SinusasSection of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, Dana 3, P.O. Box 208017, New Haven, CT, 06520, USA.
Edward J MillerSection of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, Dana 3, P.O. Box 208017, New Haven, CT, 06520, USA.
Piotr J SlomkaDepartments of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences and Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA.

Funding

Quantitative Prediction of Disease and Outcomes from Next Generation SPECT and CTR01HL089765 · NHLBI · CEDARS-SINAI MEDICAL CENTER · PI SLOMKA, PIOTR J · 2007 to 2021
$6.1M
NHLBI NIH HHS R01 HL089765
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Identifiers

PMID36598750
PMCPMC13016405

What OpenQuestion holds

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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.