Evidence map›Paper›PMID 36788324›Full record

ArticleScientific reports2023

Pulmonary recovery from COVID-19 in patients with metabolic diseases: a longitudinal prospective cohort study.

Thomas Sonnweber, Philipp Grubwieser, Alex Pizzini, Anna Boehm, Sabina Sahanic, Anna Luger, Christoph Schwabl, Gerlig Widmann, Alexander Egger, Gregor Hoermann and 10 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 32% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

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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

20 authors at 5 institutions in 2 countries.

Thomas Sonnweber *Department of Internal Medicine II, Medical University of Innsbruck, Innsbruck, Austria. Thomas.Sonnweber@i-med.ac.at.
Philipp Grubwieser *Department of Internal Medicine II, Medical University of Innsbruck, Innsbruck, Austria.
Alex PizziniDepartment of Internal Medicine II, Medical University of Innsbruck, Innsbruck, Austria.
Anna BoehmDepartment of Internal Medicine II, Medical University of Innsbruck, Innsbruck, Austria.
Sabina SahanicDepartment of Internal Medicine II, Medical University of Innsbruck, Innsbruck, Austria.
Anna LugerDepartment of Radiology, Medical University of Innsbruck, Innsbruck, Austria.
Christoph SchwablDepartment of Radiology, Medical University of Innsbruck, Innsbruck, Austria.
Gerlig WidmannDepartment of Radiology, Medical University of Innsbruck, Innsbruck, Austria.
Alexander EggerCentral Institute of Medical and Chemical Laboratory Diagnostics, University Hospital Innsbruck, Innsbruck, Austria.
Gregor HoermannCentral Institute of Medical and Chemical Laboratory Diagnostics, University Hospital Innsbruck, Innsbruck, Austria.
Ewald WöllDepartment of Internal Medicine, St. Vinzenz Hospital, Zams, Austria.
Bernhard PuchnerDepartment of Internal Medicine II, Medical University of Innsbruck, Innsbruck, Austria.
Susanne KaserDepartment of Internal Medicine I, Medical University of Innsbruck, Innsbruck, Austria.
Igor TheurlDepartment of Internal Medicine II, Medical University of Innsbruck, Innsbruck, Austria.
Manfred NairzDepartment of Internal Medicine II, Medical University of Innsbruck, Innsbruck, Austria.
Piotr TymoszukData Analytics As a Service Tirol, Innsbruck, Austria.
Günter WeissDepartment of Internal Medicine II, Medical University of Innsbruck, Innsbruck, Austria.
Michael JoannidisDivision of Intensive Care and Emergency Medicine, Department of Internal Medicine I, Medical University of Innsbruck, Innsbruck, Austria. michael.joannidis@i-med.ac.at.
Judith Löffler-RaggDepartment of Internal Medicine II, Medical University of Innsbruck, Innsbruck, Austria. Judith.Loeffler@i-med.ac.at.
Ivan TancevskiDepartment of Internal Medicine II, Medical University of Innsbruck, Innsbruck, Austria. ivan.tancevski@i-med.ac.at.
Universität Innsbruck · ATInnsbruck Medical University · ATKarl Landsteiner Society · ATMunich Leukemia Laboratory (Germany) · DEUniversity Hospital Innsbruck · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The severity of coronavirus disease 2019 (COVID-19) is related to the presence of comorbidities including metabolic diseases. We herein present data from the longitudinal prospective CovILD trial, and investigate the recovery from COVID-19 in individuals with dysglycemia and dyslipidemia. A total of 145 COVID-19 patients were prospectively followed and a comprehensive clinical, laboratory and imaging assessment was performed at 60, 100, 180, and 360 days after the onset of COVID-19. The severity of acute COVID-19 and outcome at early post-acute follow-up were significantly related to the presence of dysglycemia and dyslipidemia. Still, at long-term follow-up, metabolic disorders were not associated with an adverse pulmonary outcome, as reflected by a good recovery of structural lung abnormalities in both, patients with and without metabolic diseases. To conclude, dyslipidemia and dysglycemia are associated with a more severe course of acute COVID-19 as well as delayed early recovery but do not impair long-term pulmonary recovery.

Indexed as

COVID-19DyslipidemiasMetabolic DiseasesHumansLungProspective StudiesSARS-CoV-2

Identifiers

PMID36788324
PMCPMC9926446
OpenAlexW4320727766

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.