Evidence map›Paper›PMID 31754905›Full record

SynthesisJournal of thrombosis and thrombolysis2020

Left atrial size measured on CT pulmonary angiography: another parameter of pulmonary embolism severity? A systematic review.

Marco Zuin, Gianluca Rigatelli, Stefano Turchetta, Pietro Zonzin, Giovanni Zuliani, Loris Roncon

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Journal of thrombosis and thrombolysis, 2020. 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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Marco ZuinSection of Internal and Cardiopulmonary Medicine, University of Ferrara, Ferrara, Italy.
Gianluca RigatelliCardiovascular Diagnosis and Endoluminal Interventions Unit, Rovigo General Hospital, Rovigo, Italy.
Stefano TurchettaDepartment of Radiology, Porto Viro General Hospital, Porto Viro, Italy.
Pietro ZonzinDivision of Cardiology, Rovigo General Hospital, Rovigo, Italy.
Giovanni ZulianiSection of Internal and Cardiopulmonary Medicine, University of Ferrara, Ferrara, Italy.
Loris RonconDivision of Cardiology, Rovigo General Hospital, Rovigo, Italy. lorisroncon@gmail.com.ORCID http://orcid.org/0000-0001-9164-9160

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We systematically review the potential role of left atrial (LA) size, evaluated at computed tomography angiography (CTA) in patients with acute pulmonary embolism (PE), as a new parameter of PE severity. A literature search based on PubMed (MEDLINE), Scopus, Cochrane library and Google Scholar databases was performed to locate previous published investigations reporting data on the severity of acute PE based on the evaluation of LA size (either volume, diameter or area). Six studies, corresponding to a total of 990 patients, published between 2012 and 2019 were included into the analysis. The severity of acute PE, in terms of hemodynamic impairment, increases with the reduction of the LA volume and a significant negative correlation was observed between the pulmonary artery obstruction index (PAOI) and the LA area. Similarly, the longest left-to-right as well as the anteroposterior diameters of the LA had a significant positive correlation with the PAOI index for both the measurement. The LA volume significantly decreased with the increasing of the PAOI index. Moreover, a lower LA volume was observed in those subjects with a saddle PE appearing as the best single parameter able to discriminate between patients having or not a saddle acute PE. Intriguingly, PE patients died within 30 days from the acute event had a significant small LA volume compared to survivors. Data obtained from the current medical literature seem to suggest that the evaluation of LA size evaluation could be a new parameter of PE severity. Further and larger prospective studies are needed to confirm preliminary findings.

Indexed as

Heart AtriaComputed Tomography AngiographyHumansOrgan SizePulmonary EmbolismReproducibility of ResultsSeverity of Illness IndexComputed tomography angiographyLeft atrium sizePulmonary embolism

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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.