Evidence map›Paper›PMID 30559454›Full record

ArticleScientific reports2018

Health risk stratification based on computed tomography pulmonary artery obstruction index for acute pulmonary embolism.

Fei Guo, Guanghui Zhu, Junjie Shen, Yichuan Ma

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

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  12. A Novel Online Calculator Predicting Acute Kidney Injury After Liver Transplantation: A Retrospective Study.Transplant international : official journal of the European Society for Organ Transplantation · 2023
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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Fei GuoDepartment of Radiology, The First Affiliated Hospital of Bengbu Medical College, Bengbu, 233004, China.
Guanghui ZhuDepartment of Radiology, The First Affiliated Hospital of Bengbu Medical College, Bengbu, 233004, China.
Junjie ShenDepartment of Radiology, The First Affiliated Hospital of Bengbu Medical College, Bengbu, 233004, China.
Yichuan MaDepartment of Radiology, The First Affiliated Hospital of Bengbu Medical College, Bengbu, 233004, China. myc20126@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early effective identification of high-risk patients for acute pulmonary embolism (APE) contributes to timely treatment. The pulmonary artery obstruction index (PAOI) in computed tomography angiography (CTA) is a semi-quantitative observation index, commonly used to evaluate the severity of a patient's condition. This study explores the ability of PAOI to assess the risk stratification of APE. Thirty patients with APE were analysed. They were classified according to the guidelines, and the PAOI and cardiovascular parameters were measured in CTA. The difference of PAOI between different risk stratification patients was compared, and the predictive value of the PAOI for high-risk stratification was evaluated by the receiver operating characteristic curve. The correlation between PAOI and cardiovascular parameters was also analysed by Spearman correlation analysis. The PAOI in low- and high-risk patients was (33.2 ± 18.6)% and (68.1 ± 11.8)% respectively, and the difference was statistically significant. The PAOI was strongly predictive for high-risk patients. The cut-off value was 52.5%, with a sensitivity of 100% and specificity of 81.0%. The PAOI was correlated with the main cardiovascular parameters. We conclude that the PAOI in CTA is helpful for assessing risk stratification in patients with APE, which contributes to the selection of both the treatment plan and prognostic evaluation.

Indexed as

Arterial Occlusive DiseasesComputed Tomography AngiographyFemaleHumansMaleMiddle AgedPrognosisPulmonary ArteryPulmonary EmbolismRisk AssessmentROC CurveSensitivity and SpecificitySeverity of Illness IndexTomography, X-Ray Computed

Identifiers

PMID30559454
PMCPMC6297138

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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.