Evidence map›Paper›PMID 31969963›Full record

ArticlePolish journal of radiology2019

Computed tomography pulmonary angiography for acute pulmonary embolism: prediction of adverse outcomes and 90-day mortality in a single test.

Neda Akhoundi, Taraneh Faghihi Langroudi, Hamid Rajebi, Sepideh Haghi, Mersede Paraham, Sonia Karami, Fatemeh Kheiridoust Langroudi

Open access · diamondAbstract read
In one paragraph

Article in Polish journal of radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.0field-weighted citation impact, top 20% of its field
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

9 citing papers in PubMed, 21 citations in OpenAlex.

  1. Review
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  7. Role of CT and MRI in Cardiac Emergencies.Tomography (Ann Arbor, Mich.) · 2022
    Review
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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

7 authors at 2 institutions in 2 countries.

Neda AkhoundiDepartment of Radiology, Modarres Hospital, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Taraneh Faghihi LangroudiDepartment of Radiology, Modarres Hospital, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Hamid RajebiUniversity of Texas Health at San Antonio, TX, United States.
Sepideh HaghiDepartment of Radiology, Modarres Hospital, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Mersede ParahamDepartment of Radiology, Modarres Hospital, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Sonia KaramiDepartment of Radiology, Modarres Hospital, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Fatemeh Kheiridoust LangroudiDepartment of Radiology, Modarres Hospital, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Shahid Beheshti University of Medical Sciences · IRThe University of Texas at San Antonio · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposePulmonary embolism (PE) is a potentially fatal cardiopulmonary disease; therefore, rapid risk stratification is necessary to make decisions of appropriate management strategies. The aim of this study was to assess various computed tomography (CT) findings in order to find new prognostic factors of adverse outcome and mortality. MATERIAL AND

methodsThe study enrolled 104 patients with acute PE. Based on their outcome, patients were categorised into four groups. Comorbidities such as ischaemic heart disease were obtained from their medical records. Patients CT angiography were reviewed for recording variables such as main pulmonary artery diameter and right ventricle (RV)/left ventricle (LV) ratio. Patient deaths up to three months since diagnosis of PE had been registered. Logistic regression analysis was performed to find predictors.

resultsBased on multiple logistic regression, RV/LV ratio, LV diameter, and right-sided pulmonary infarction are predictors of mortality in 30 days. An RV/LV ratio of 1.19 could successfully discriminate patients who died within 30 days and those who did not.

conclusionsRV/LV ratio, LV diameter, right-sided pulmonary infarction, assessed with helical CT, can help predict 30-day mortality.

Indexed as

embolismmortalityprognostic factors

Identifiers

PMID31969963
PMCPMC6964354
OpenAlexW2992355615

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.