Evidence map›Paper›PMID 28770462›Full record

ArticleJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology2019

Predictive value of

Fan Yang, Jianfang Luo, Qingyi Hou, Nianjin Xie, Zhiqiang Nie, Wenhui Huang, Yuan Liu, Yingling Zhou, Jiyan Chen, Qingshan Geng

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Evaluation of intramural hematoma: a novel use ofJournal of cardiothoracic surgery · 2024
    Article
  2. Review
  3. Review of cardiovascular imaging in the Journal of Nuclear Cardiology 2019: Positron emission tomography, computed tomography and magnetic resonance.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2020
    Review
  4. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Fan YangDepartment of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of Coronary Disease, Guangdong General Hospital, Guangdong Academy of Medical Sciences, School of Medicine, South China University of Technology, No. 96, Dongchuan Road, Guangzhou, 510100, Guangdong, China.
Jianfang LuoDepartment of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of Coronary Disease, Guangdong General Hospital, Guangdong Academy of Medical Sciences, School of Medicine, South China University of Technology, No. 96, Dongchuan Road, Guangzhou, 510100, Guangdong, China. jianfangluo@sina.com.
Qingyi HouDepartment of PET Center, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
Nianjin XieDepartment of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of Coronary Disease, Guangdong General Hospital, Guangdong Academy of Medical Sciences, School of Medicine, South China University of Technology, No. 96, Dongchuan Road, Guangzhou, 510100, Guangdong, China.
Zhiqiang NieDepartment of Epidemiology, Guangdong Cardiovascular Institute, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
Wenhui HuangDepartment of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of Coronary Disease, Guangdong General Hospital, Guangdong Academy of Medical Sciences, School of Medicine, South China University of Technology, No. 96, Dongchuan Road, Guangzhou, 510100, Guangdong, China.
Yuan LiuDepartment of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of Coronary Disease, Guangdong General Hospital, Guangdong Academy of Medical Sciences, School of Medicine, South China University of Technology, No. 96, Dongchuan Road, Guangzhou, 510100, Guangdong, China.
Yingling ZhouDepartment of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of Coronary Disease, Guangdong General Hospital, Guangdong Academy of Medical Sciences, School of Medicine, South China University of Technology, No. 96, Dongchuan Road, Guangzhou, 510100, Guangdong, China.
Jiyan ChenDepartment of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of Coronary Disease, Guangdong General Hospital, Guangdong Academy of Medical Sciences, School of Medicine, South China University of Technology, No. 96, Dongchuan Road, Guangzhou, 510100, Guangdong, China.
Qingshan GengDepartment of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of Coronary Disease, Guangdong General Hospital, Guangdong Academy of Medical Sciences, School of Medicine, South China University of Technology, No. 96, Dongchuan Road, Guangzhou, 510100, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe clinical course and predictors of adverse aortic events (AAE) in patients with acute Stanford type B intramural hematoma (IMH) remain controversial. This study aimed to investigate whether METHODS AND

resultsThis study included 34 patients with acute type B IMH who underwent PET/CT within 14 days from the onset of symptoms. The maximal standardized uptake values (SUVmax) of

conclusionPatients with ULP and high

Indexed as

Fluorodeoxyglucose F18Positron Emission Tomography Computed TomographyAgedAortaAortic DiseasesComputed Tomography AngiographyFemaleFollow-Up StudiesHematomaHumansImage Processing, Computer-AssistedInflammationMaleMiddle AgedPredictive Value of TestsPrognosisFluorodeoxyglucose F18RadiopharmaceuticalsFluorodeoxyglucose (FDG)outcomes researchperipheral artery diseasePET/CT imaging

Identifiers

What OpenQuestion holds

Textmetadata
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Registered trials

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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.