Evidence map›Paper›PMID 33778598›Full record

ArticleRadiology. Cardiothoracic imaging2020

CT Pulmonary Angiography for Risk Stratification of Patients with Nonmassive Acute Pulmonary Embolism.

David C Rotzinger, Jean-François Knebel, Anne-Marie Jouannic, Ghazal Adler, Salah D Qanadli

Abstract read
In one paragraph

Article in Radiology. Cardiothoracic imaging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

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

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

11 citing papers in PubMed.

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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

5 · Who and what money

Authors and funding

5 authors.

David C RotzingerCardiothoracic and Vascular Division, Department of Diagnostic and Interventional Radiology (D.C.R., A.M.J., S.D.Q.) and EEG Brain Mapping Core, Centre for Biomedical Imaging (CIBM) and Laboratory for Investigative Neurophysiology (The LINE), Department of Radiology (J.F.K.), Lausanne University Hospital (CHUV), Rue du Bugnon 46, 1011 Lausanne, Switzerland; Faculty of Biology and Medicine (FBM), University of Lausanne (UNIL), Lausanne, Switzerland (D.C.R., J.F.K., S.D.Q.); and Imagerive Diagnostic Radiology Institute, Geneva, Switzerland (G.A.).ORCID 0000-0002-6321-3180
Jean-François KnebelCardiothoracic and Vascular Division, Department of Diagnostic and Interventional Radiology (D.C.R., A.M.J., S.D.Q.) and EEG Brain Mapping Core, Centre for Biomedical Imaging (CIBM) and Laboratory for Investigative Neurophysiology (The LINE), Department of Radiology (J.F.K.), Lausanne University Hospital (CHUV), Rue du Bugnon 46, 1011 Lausanne, Switzerland; Faculty of Biology and Medicine (FBM), University of Lausanne (UNIL), Lausanne, Switzerland (D.C.R., J.F.K., S.D.Q.); and Imagerive Diagnostic Radiology Institute, Geneva, Switzerland (G.A.).ORCID 0000-0003-1665-1724
Anne-Marie JouannicCardiothoracic and Vascular Division, Department of Diagnostic and Interventional Radiology (D.C.R., A.M.J., S.D.Q.) and EEG Brain Mapping Core, Centre for Biomedical Imaging (CIBM) and Laboratory for Investigative Neurophysiology (The LINE), Department of Radiology (J.F.K.), Lausanne University Hospital (CHUV), Rue du Bugnon 46, 1011 Lausanne, Switzerland; Faculty of Biology and Medicine (FBM), University of Lausanne (UNIL), Lausanne, Switzerland (D.C.R., J.F.K., S.D.Q.); and Imagerive Diagnostic Radiology Institute, Geneva, Switzerland (G.A.).
Ghazal AdlerCardiothoracic and Vascular Division, Department of Diagnostic and Interventional Radiology (D.C.R., A.M.J., S.D.Q.) and EEG Brain Mapping Core, Centre for Biomedical Imaging (CIBM) and Laboratory for Investigative Neurophysiology (The LINE), Department of Radiology (J.F.K.), Lausanne University Hospital (CHUV), Rue du Bugnon 46, 1011 Lausanne, Switzerland; Faculty of Biology and Medicine (FBM), University of Lausanne (UNIL), Lausanne, Switzerland (D.C.R., J.F.K., S.D.Q.); and Imagerive Diagnostic Radiology Institute, Geneva, Switzerland (G.A.).
Salah D QanadliCardiothoracic and Vascular Division, Department of Diagnostic and Interventional Radiology (D.C.R., A.M.J., S.D.Q.) and EEG Brain Mapping Core, Centre for Biomedical Imaging (CIBM) and Laboratory for Investigative Neurophysiology (The LINE), Department of Radiology (J.F.K.), Lausanne University Hospital (CHUV), Rue du Bugnon 46, 1011 Lausanne, Switzerland; Faculty of Biology and Medicine (FBM), University of Lausanne (UNIL), Lausanne, Switzerland (D.C.R., J.F.K., S.D.Q.); and Imagerive Diagnostic Radiology Institute, Geneva, Switzerland (G.A.).

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo investigate the prognostic value of an integrative approach combining clinical variables and the Qanadli CT obstruction index (CTOI) in patients with nonmassive acute pulmonary embolism (PE). MATERIALS AND

methodsThis retrospective study included 705 consecutive patients (mean age, 63 years; range, 18-95 years) with proven PE. Clot burden was quantified using the CTOI, which reflects the ratio of fully or partially obstructed pulmonary arteries to normal arteries. Patients were subdivided into two groups according to the presence (group A) or absence (group B) of preexisting cardiopulmonary disease. Thirty-day and 3-month mortality was evaluated. CTOI thresholds of 20% and 40% were used to stratify patients regarding outcome (low, intermediate, and high risk). The predictive value of CTOI was assessed through logistic regression analysis.

resultsAnalysis included 690 patients (mean age, 63.3 years ± 18 [standard deviation]) with complete follow-up data: 247 (36%) in group A and 443 (64%) in group B. The mean CTOI was 23% ± 19, 30-day mortality was 9.7%, and 3-month mortality was 11.6%. Three-month mortality was higher in group A than in group B (17.8% and 8.1%, respectively;

conclusionCTOI predicted outcome in this cohort of patients with PE and no cardiopulmonary disease, and it may provide a simple single-examination-based approach for risk stratification in this subset of patients.© RSNA, 2020See also the commentary by Kay and Abbara in this issue.

Identifiers

PMID33778598
PMCPMC7978016

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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.