Evidence map›Paper›PMID 36627082›Full record

ArticleJournal of infection and chemotherapy : official journal of the Japan Society of Chemotherapy2023

Are the thorax Computed Tomography findings of ICU patients diagnosed with COVID-19 pneumonia related to the duration of hospital stay and mortality?

Ümmihan Topal, Gülseren Yılmaz, Ayça Sultan Şahin

Open access · bronzeAbstract read
In one paragraph

Article in Journal of infection and chemotherapy : official journal of the Japan Society of Chemotherapy, 2023. 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 54% 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, 1 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

3 authors at 2 institutions in 1 country.

Ümmihan TopalDepartment of Radiology, Health Sciences University, Kanuni Sultan Süleyman Training and Research Hospital, Istanbul, 34303, Turkey. Electronic address: drummihan_tpll@outlook.com.
Gülseren YılmazDepartment of Anesthesiology and Reanimation, HSU, Kanuni Sultan Suleyman Education and Training Hospital, Istanbul, Turkey.
Ayça Sultan ŞahinDepartment of Anesthesiology and Reanimation, HSU, Kanuni Sultan Suleyman Education and Training Hospital, Istanbul, Turkey.
İstanbul Kanuni Sultan Süleyman Eğitim ve Araştırma Hastanesi · TRSağlık Bilimleri Üniversitesi · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionQuantitative thorax Computed Tomography (CT) is used to determine the severity of COVID-19 pneumonia. With a new approach, quantitative thoracic CT is to contribute to the triage of patients with severe COVID-19 pneumonia in the ICU and to evaluate its relation with mortality by taking into account the vaccination status.

methodsFifty-six patients who had a diagnosis of COVID-19 pneumonia confirmed in the adult ICU were evaluated retrospectively. To evaluate the degree of parenchymal involvement, the quantitative CT "craniocaudal diameter of the thorax/craniocaudal largest lesion diameter (CCDT/CCDL)" ratio and semi-quantitative total CT severity scores (TCTSS) (0:0%; 1:1-25%; 2:26-50%; 3:51-75% and 4:76-100%) were calculated. Both methods were analyzed with comparative ROC curves for predicting mortality. The effects of vaccines on thorax CT findings and laboratory parameters were also investigated.

resultsThe sensitivities and specificities were found to be 72.5%, 75.61%, and 80%, 73.33% when CCDT/CCDL and TCTSS cutoff value was taken <1.4, and >9, respectively, to predict mortality in COVID-19 pneumonia (Area Under the Curve = AUC = 0.797 and 0.752). Both methods predicted mortality well and no statistical differences were detected between them (p = 0.3618). In vaccinated patients, CRP was higher (p = 0.045), and LDH and ferritin were lower (p = 0.049, p = 0.004). The number of lobes involved was lower in the vaccinated group (p = 0.001).

conclusionsThe quantitative CT score (CCDT/CCDL) may play as important a role as TCTSS in diagnosing COVID-19 pneumonia, determining the severity of the disease, and predicting the related mortality. COVID-19 vaccines may affect laboratory parameters and cause less pneumonia on thoracic CT than in unvaccinated individuals.

Indexed as

COVID-19AdultCOVID-19 VaccinesHumansIntensive Care UnitsLength of StayLungRetrospective StudiesSARS-CoV-2ThoraxTomography, X-Ray ComputedCOVID-19 VaccinesCOVID-19 vaccineIntensive care unitsMessenger RNA VaccinesMultidetector computed tomographySevere acute respiratory syndrome coronavirus 2

Identifiers

PMID36627082
PMCPMC9825141
OpenAlexW4313702947

What OpenQuestion holds

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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.