Evidence map›Paper›PMID 35286158›Full record

ArticleThe British journal of radiology2022

Role of visceral fat areas defined by thoracic CT in acute pulmonary embolism.

Hans-Jonas Meyer, Franz Benkert, Nikolaos Bailis, Marianne Lerche, Alexey Surov

Open access · greenAbstract read
In one paragraph

Article in The British journal of radiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. 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

5 authors at 3 institutions in 1 country.

Hans-Jonas MeyerDepartment of Diagnostic and Interventional Radiology, University of Leipzig, Leipzig, Germany.
Franz BenkertDepartment of Diagnostic and Interventional Radiology, University of Leipzig, Leipzig, Germany.
Nikolaos BailisDepartment of Diagnostic and Interventional Radiology, University of Leipzig, Leipzig, Germany.
Marianne LercheDepartment of Respiratory Medicine, University Hospital Leipzig, University of Leipzig, Leipzig, Germany.
Alexey SurovDepartment of Radiology and Nuclear Medicine, Otto von Guericke University, Magdeburg, Germany.
Leipzig University · DEOtto-von-Guericke University Magdeburg · DEUniversity Hospital Leipzig · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveVisceral adipose tissue (VAT) has been established as an important parameter of body composition. It can be assessed by imaging modalities like computed tomography (CT). The purpose of the present study was to analyse the prognostic role of VAT derived from thoracic CT in patients with acute pulmonary embolism (PE).

methodsThe clinical database of our center was retrospectively screened for patients with acute PE between 2014 and 2017. Overall, 184 patients were included into the analysis. VAT was assessed on axial slices of the thoracic CT at the level of the first lumbar vertebra. Clinical scores, serological parameters, need for intubation, ICU admission and 30 days mortality were assessed.

resultsUsing the previously reported threshold of 100 cm² for visceral obesity definition 136 (73.9%), patients were considered as visceral obese. There was a moderate correlation between VAT and BMI (

conclusionVAT was not associated with mortality in patients with acute pulmonary embolism. ADVANCES IN KNOWLEDGE: Visceral obesity is frequent in patients with acute pulmonary embolism but it is not associated with mortality.

Indexed as

Intra-Abdominal FatPulmonary EmbolismBody Mass IndexHumansObesity, AbdominalRetrospective StudiesTomography, X-Ray Computed

Identifiers

PMID35286158
PMCPMC10996403
OpenAlexW4220984260

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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.