Evidence map›Paper›PMID 34528186›Full record

ArticleClinical rheumatology2022

Association of quantitative computed tomography ındices with lung function and extent of pulmonary fibrosis in patients with systemic sclerosis.

Duygu Temiz Karadag, Ozgur Cakir, Senar San, Ayten Yazici, Ercument Ciftci, Ayse Cefle

Abstract read
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In one paragraph

Article in Clinical rheumatology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 26% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Guideline
  2. Article
  3. Review
  4. Article
  5. Article
  6. Biomarkers in Systemic Sclerosis: An Overview.Current issues in molecular biology · 2023
    Review
  7. Article
  8. Review
  9. Review
  10. 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

6 authors at 1 institution in 1 country.

Duygu Temiz KaradagDepartment of Rheumatology, Kocaeli University Faculty of Medicine, Kocaeli, Turkey. dr_dtemiz@hotmail.com.ORCID http://orcid.org/0000-0002-5891-2032
Ozgur CakirDepartment of Radiology, Kocaeli University Faculty of Medicine, Kocaeli, Turkey.ORCID http://orcid.org/0000-0001-6565-9488
Senar SanDepartment of Rheumatology, Kocaeli University Faculty of Medicine, Kocaeli, Turkey.ORCID http://orcid.org/0000-0002-0047-1019
Ayten YaziciDepartment of Rheumatology, Kocaeli University Faculty of Medicine, Kocaeli, Turkey.ORCID http://orcid.org/0000-0003-2167-4509
Ercument CiftciDepartment of Radiology, Kocaeli University Faculty of Medicine, Kocaeli, Turkey.ORCID http://orcid.org/0000-0002-4992-9043
Ayse CefleDepartment of Rheumatology, Kocaeli University Faculty of Medicine, Kocaeli, Turkey.ORCID http://orcid.org/0000-0002-3273-7969
Kocaeli Üniversitesi · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe aim was to investigate the discriminative value of a wide range of quantitative computed tomography (qCT) parameters in systemic sclerosis (SSc) patients with and without pulmonary fibrosis (PF) and their association with pulmonary function tests (PFTs) and visual fibrosis scores (VFS).

methodThoracic high-resolution computed tomography (HRCT) images of SSc patients with and without PF were analyzed with Vitrea® Advanced Visualization software. The mean lung attenuation (MLA), skewness, kurtosis, and threshold-based volumes [low-density volume (LDV), medium-density volume (MDV), and high-density volume (HDV)] derived from the attenuation histograms of the right and left lungs were evaluated separately. Visual scores were measured semi-quantitatively and the overall extent of pulmonary parenchymal abnormality was calculated.

resultsForty-one SSc patients with PF (85.4% female; mean age 50.4 ± 15.6 years) were compared with 94 without PF (88.3% female; mean age 50 ± 11.5 years). All qCT parameters were significantly different between those with and without PF (p < 0.05). Amongst the qCT measurements, R-MLA, L-MLA, R-MDV, L-MDV, and left total lung volume (L-TLV) correlated with all three of forced vital capacity, carbon monoxide diffusion capacity, and VFS, even after adjustment for sex and age (|r|> 0.300 and p < 0.05). R-MLA, L-MLA, R-HDV/TLV, and L-HDV/TLV exhibited diagnostic accuracy in discriminating patients with PF (AUC value > 0.7).

conclusionQCT parameters differentiated SSc patients with PF from the ones without and showed a good correlation with VFS. With the application of user-friendly and less operator-dependent software, qCT analysis may become an objective tool for analysis of PF in SSc, complementary to PFTs and VFS. Key Points • Quantitative computed tomography parameters can accurately and objectively differentiate between SSc patients with and without PF. • Furthermore, in SSc patients with fibrosis, a moderate to a high correlation was identified between many of the qCT parameters, PFT results, and VFS.

Indexed as

Pulmonary FibrosisScleroderma, SystemicAdultAgedFemaleHumansLungMaleMiddle AgedRespiratory Function TestsTomography, X-Ray ComputedHigh-resolution computed tomographyLung densityPulmonary fibrosisSystemic sclerosis

Identifiers

PMID34528186
OpenAlexW3201439115

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.