Evidence map›Paper›PMID 35908455›Full record

SynthesisClinical imaging2022

CT findings of COVID-19-associated pulmonary aspergillosis: a systematic review and individual patient data analysis.

Wonju Hong, P Lewis White, Matthijs Backx, Jean-Pierre Gangneux, Florian Reizine, Philipp Koehler, Robbert G Bentvelsen, María Luján Cuestas, Hamed Fakhim, Jung Im Jung and 4 more

Abstract readSystematic Review
In one paragraph

Synthesis in Clinical imaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
  2. Review
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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

14 authors.

Wonju HongDepartment of Radiology, Hallym University Sacred Heart Hospital, Anyang, Republic of Korea.
P Lewis WhitePublic Health Wales Microbiology Cardiff, UHW, Cardiff CF14 4XW, UK.
Matthijs BackxPublic Health Wales Microbiology Cardiff, UHW, Cardiff CF14 4XW, UK.
Jean-Pierre GangneuxUniv Rennes, CHU Rennes, Inserm, EHESP, IRSET (Institut de Recherche en Santé, Environnement et Travail) - UMR_S 1085, F-35000 Rennes, France.
Florian ReizineMaladies Infectieuses et Réanimation Médicale, CHU Rennes, F-35033 Rennes, France.
Philipp KoehlerDepartment of Internal Medicine, Medical Faculty and University Hospital Cologne, University of Cologne, Cologne, Germany; Cologne Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne, Cologne, Germany.
Robbert G BentvelsenMicrovida Laboratory for Microbiology, Amphia Hospital, Breda, the Netherlands.
María Luján CuestasUniversidad de Buenos Aires, CONICET, Instituto de Investigaciones en Microbiología y Parasitología Médica (IMPaM), Buenos Aires, Argentina.
Hamed FakhimInfectious Diseases and Tropical Medicine Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
Jung Im JungDepartment of Radiology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Young Kyung LeeDepartment of Radiology, Seoul Medical Center, Seoul, Republic of Korea.
Nishil R DalsaniaMaimonides Medical Center, Brooklyn, NY, USA.
Ravi Karan PattiMaimonides Medical Center, Brooklyn, NY, USA.
Soon Ho YoonDepartment of Radiology, Seoul National University Hospital, Seoul National College of Medicine, Seoul, Republic of Korea. Electronic address: yshoka@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeCommon CT abnormalities of pulmonary aspergillosis represent a cavity with air-meniscus sign, nodule, mass, and consolidation having an angio-invasive pattern. This study aims to conduct a systematic review and an individual patient-level image analysis of CT findings of COVID-19-associated pulmonary aspergillosis (CAPA).

methodsA systematic literature search was conducted to identify studies reporting CT findings of CAPA as of January 7, 2021. We summarized study-level clinical and CT findings of CAPA and collected individual patient CT images by inviting corresponding authors. The CT findings were categorized into four groups: group 1, typical appearance of COVID-19; group 2, indeterminate appearance of COVID-19; group 3, atypical for COVID-19 without cavities; and group 4, atypical for COVID-19 with cavities. In group 2, cases had only minor discrepant findings including solid nodules, isolated airspace consolidation with negligible ground-glass opacities, centrilobular micronodules, bronchial abnormalities, and cavities.

resultsThe literature search identified 89 patients from 25 studies, and we collected CT images from 35 CAPA patients (mean age 62.4 ± 14.6 years; 21 men): group 1, thirteen patients (37.1%); group 2, eight patients (22.9%); group 3, six patients (17.1%); and group 4, eight patients (22.9%). Eight of the 14 patients (57.1%) with an atypical appearance had bronchial abnormalities, whereas only one (7.1%) had an angio-invasive fungal pattern. In the study-level analysis, cavities were reported in 12 of 54 patients (22.2%).

conclusionCAPA can frequently manifest as COVID-19 pneumonia without common CT abnormalities of pulmonary aspergillosis. If abnormalities exist on CT images, CAPA may frequently accompany bronchial abnormalities.

Indexed as

COVID-19Pulmonary AspergillosisAgedData AnalysisHumansLungMaleMiddle AgedTomography, X-Ray ComputedAspergillosisCoronavirus 2019COVID-19Tomography,X-ray computed

Identifiers

PMID35908455
PMCPMC9425042

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.