Evidence map›Paper›PMID 40950924›Full record

ArticleJournal of thoracic disease2025

Chest computed tomography findings do not influence the decision of pneumologists regarding the diagnosis and management of pulmonary long coronavirus disease: a single center retrospective study.

Stefanie Meiler, Daniel Schmalenberger, Maximilian Malfertheiner, Iris Dvorak, Quirin Strotzer, Christian Stroszczynski, Okka Wilkea Hamer

Abstract read
In one paragraph

Article in Journal of thoracic disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Stefanie MeilerDepartment of Radiology, Regensburg University Medical Center, Regensburg, Germany.ORCID https://orcid.org/0000-0002-7324-2532
Daniel SchmalenbergerDepartment of Pneumology, Caritas Hospital St. Maria Donaustauf, Donaustauf, Germany.
Maximilian MalfertheinerDepartment of Pneumology, Caritas Hospital St. Maria Donaustauf, Donaustauf, Germany.
Iris DvorakDepartment of Pneumology, Bayreuth Hospital, Bayreuth, Germany.
Quirin StrotzerDepartment of Radiology, Regensburg University Medical Center, Regensburg, Germany.
Christian StroszczynskiDepartment of Radiology, Regensburg University Medical Center, Regensburg, Germany.
Okka Wilkea HamerDepartment of Radiology, Regensburg University Medical Center, Regensburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Pulmonary symptoms are common in long coronavirus disease (COVID), yet the diagnostic value of chest computed tomography (CT) in these patients remains unclear, particularly when physical examination and pulmonary function tests are normal. This study investigates whether chest CT influences the decision of pneumologists regarding the measures taken for diagnostic work-up, the final diagnosis, the confidence in the diagnosis, and the downstream management of patients suspected to suffer from pulmonary long COVID. Methods: All patients presented in a dedicated long COVID outpatient clinic of a secondary care hospital that specializes in lung diseases between April 2020 and August 2021. Inclusion criteria were age ≥18 years, suspicion for long COVID syndrome of pulmonary origin according to the National Institute for Health and Care Excellence (NICE) criteria and availability of a chest CT acquired during work-up. Three pneumologists evaluated the patient's records in two rounds (round 1 without and round 2 with knowledge of CT results). Identical parameters were queried in the two runs: diagnosis of pulmonary long COVID, confidence of the diagnosis on a scale from 0 to 3, need for: bronchoalveolar lavage (BAL), transbronchial biopsy (TBB), cryobiopsy, video-assisted thoracoscopy (VATS), ergospirometry, ventilation/perfusion scintigraphy, follow-up appointment, rehabilitation. Results: Forty-one patients were included (24 male; age 21 to 72 years, mean 55 years). In the first and second round diagnosis of pulmonary long COVID was made in an average of 10 (24%) and 11 (27%) patients (P=0.69). Confidence of diagnosis was 1.9 and 2.6 (P<0.001). No statistical difference was found regarding the frequency of diagnostic measures and downstream management. Conclusions: Chest CT did not influence the diagnostic decision of pneumologists for patients suspected to suffer from pulmonary long COVID. However, the confidence in the diagnosis was improved by chest CT. Still, based on our results chest CT does not routinely have to be included in the work-up of long COVID, when pulmonary function tests and auscultation are normal.

Indexed as

downstream managementHigh resolution computed tomography (HRCT)interstitial lung disease (ILD)long coronavirus disease (long COVID)

Identifiers

PMID40950924
PMCPMC12433019

What Socratic 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 Socratic graph.