Evidence map›Paper›PMID 32476864›Full record

ArticleSarcoidosis, vasculitis, and diffuse lung diseases : official journal of WASOG2017

Assessment of lung involvement in sarcoidosis - the use of an open-source software to quantify data from computed tomography.

Tomaz Urbankowski, Lucyna Opoka, Paweł Wojtan, Rafal Krenke

Open access · greenAbstract read
In one paragraph

Article in Sarcoidosis, vasculitis, and diffuse lung diseases : official journal of WASOG, 2017. 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
0.2field-weighted citation impact, top 42% 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, 4 citations in OpenAlex.

  1. Novelties in Imaging of Thoracic Sarcoidosis.Journal of clinical medicine · 2021
    Review
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.

Tomaz UrbankowskiDepartment of Internal Medicine, Pulmonary Diseases and Allergy, Medical University of Warsaw, Poland.
Lucyna OpokaDepartment of Radiology, National Tuberculosis and Lung Diseases Research Institute, Warsaw, Poland.
Paweł WojtanDepartment of Internal Medicine, Pulmonary Diseases and Allergy, Medical University of Warsaw, Poland.
Rafal KrenkeDepartment of Internal Medicine, Pulmonary Diseases and Allergy, Medical University of Warsaw, Poland.
Medical University of Warsaw · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Computed tomography (CT) plays a pivotal role in the initial evaluation of patients suspected of sarcoidosis. Although it has significant limitations associated with radiation exposure, CT scanning is also occasionally used to follow-up patients with sarcoidosis. Hitherto, no widely accepted method of quantitative assessment of pulmonary involvement in sarcoidosis has been established. The aims of the study were as follows: (1) to assess the utility of the open-source, free of charge DICOM Viewer software in quantitative analysis of pulmonary involvement in sarcoidosis; (2) to compare the parameters of quantitative CT analysis with the results of pulmonary function tests (PFTs). We included contrast-enhanced thorax CT examinations of 80 patients with sarcoidosis. Post-processing analysis of CT data was carried out using OsiriX Lite software (Pixmeo, Switzerland). Following densitometric parameters were measured: CT-derived lung volume (CT-LV), mean lung attenuation (MLA), kurtosis, skewness and standard deviation of lung radiodensity (SD

Indexed as

computer-assistedimage processinginterstitiallung diseasesmultidetector computed tomographypulmonarysarcoidosis

Identifiers

PMID32476864
PMCPMC7170077
OpenAlexW2787014460

What OpenQuestion holds

Textmetadata
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.