Evidence map›Paper›PMID 32874754›Full record

ArticleJournal of clinical imaging science2020

Efficacy of Computed Tomography Pulmonary Angiography as Non-invasive Imaging Biomarker for Risk Stratification of Acute Pulmonary Embolism.

Mahmoud M Higazi, Rasha Abdel Raouf Abdel Fattah, Elham Abdelhady Abdelghany, Hosny S Abdel Ghany

Open access · hybridAbstract read
In one paragraph

Article in Journal of clinical imaging science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.9field-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

8 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Classification and Stratification of Pulmonary Embolisms.The International journal of angiology : official publication of the International College of Angiology, Inc · 2022
    Article
  7. Article
  8. Diagnosis, Diagnostic Tools, and Risk Stratification for Contemporary Treatment of Pulmonary Embolism.The International journal of angiology : official publication of the International College of Angiology, Inc · 2022
    Article
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

4 authors at 1 institution in 1 country.

Mahmoud M HigaziDepartments of Radiology, Minia University, Minia, Egypt.
Rasha Abdel Raouf Abdel FattahDepartments of Chest, Minia University, Minia, Egypt.
Elham Abdelhady AbdelghanyDepartments of Chest, Minia University, Minia, Egypt.
Hosny S Abdel GhanyDepartments of Radiology, Minia University, Minia, Egypt.
Minia University · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesMassive and sub-massive pulmonary embolisms (PEs) are associated with high mortality and morbidity. The mainstay of treatment for PE is anticoagulation. However, high- and intermediate-risk patients may benefit from interventional thrombolytic therapy. Computed tomography pulmonary angiography (CTPA) is widely available, fast, and non-invasive technique, and it can identify pulmonary thrombus down to at least a segmental level. In this study, we attempt to evaluate the efficacy of CTPA as a non-invasive imaging biomarker for risk stratification of acute PE (APE) patients. MATERIAL AND

methodsThis is a prospective study conducted on 150 patients who proved to have APE by CTPA. The simplified PE severity index score was obtained. The pulmonary artery obstruction index (PAOI) using and right to left ventricular (RV/LV) diameter ratios were calculated.

resultsThe patients were divided into (1) high risk (shocked) and (2) non-high risk groups. There was a significant difference between the 1

conclusionOur results support the use of CTPA as a surrogate imaging biomarker for both diagnosis and risk stratification of APE patients. CTPA allows assessment of clot burden through PAOI calculation and identification of intermediate-risk PE through the assessment of RVD.

Indexed as

BiomarkerComputed tomographyNon-invasiveObstruction indexPulmonary angiography

Identifiers

PMID32874754
PMCPMC7451145
OpenAlexW3063770335

What OpenQuestion holds

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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.