Evidence map›Paper›PMID 32245363›Full record

ArticleInternational journal of emergency medicine2020

The assessment of acute pulmonary embolism severity using CT angiography features.

Azin Shayganfar, Somayeh Hajiahmadi, Mohsen Astaraki, Shadi Ebrahimian

Abstract read
In one paragraph

Article in International journal of emergency medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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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

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

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  10. CHAClinical cardiology · 2022
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Azin ShayganfarDepartment of Radiology, Isfahan University of Medical Sciences, Isfahan, Iran.
Somayeh HajiahmadiDepartment of Radiology, Isfahan University of Medical Sciences, Isfahan, Iran.
Mohsen AstarakiDepartment of Radiology, Isfahan University of Medical Sciences, Isfahan, Iran.
Shadi EbrahimianDepartment of Radiology, Isfahan University of Medical Sciences, Isfahan, Iran. shadiebr2005@yahoo.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study was conducted to detect the association between radiologic features of CT pulmonary angiography (CTPA) and pulmonary embolism severity index (PESI).

methodsA total of 150 patients with a definite diagnosis of PE entered the study. The CTPA feature including obstruction index, pulmonary trunk size, presence of backwash contrast, septal morphology, right ventricular (RV) and left ventricular (LV) dimensions, and RV/LV ratio were examined. The severity of the PE was estimated using PESI. The association between CTPA indices and PESI was measured. Statistical analysis was conducted using the SPSS software. P value < 0.05 was considered as statistically significant.

resultsA positive correlation was detected between the obstruction index and PESI (r = 0.45, P < 0.05). Moreover, PESI was significantly higher in patients with a more dilated pulmonary trunk (r = 0.20, P < 0.05). The backwash contrast and abnormal septal morphology were significantly more common among patients with higher PESI (P < 0.05). However, no significant correlation was detected between RV, LV, RV/LV, and PESI. The most predictor of high-risk PE was dilated pulmonary trunk with an odds ratio of 4.4.

conclusionHigher Obstruction index, dilated pulmonary trunk, presence of backwash contrast, and an abnormal septal morphology can be associated with a higher PESI.

Indexed as

AngiographyComputed tomographyPulmonary embolismRight heart

Identifiers

PMID32245363
PMCPMC7118936

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