Evidence map›Paper›PMID 37735584›Full record

ArticleScientific reports2023

A cross-sectional case-control study on the structural connectome in recovered hospitalized COVID-19 patients.

Elke Lathouwers, Ahmed Radwan, Jeroen Blommaert, Lara Stas, Bruno Tassignon, Sabine D Allard, Filip De Ridder, Elisabeth De Waele, Nicole Hoornaert, Patrick Lacor and 16 more

Erratum issuedOpen 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. An erratum has been issued. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 25% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

26 authors at 4 institutions in 1 country.

Elke Lathouwers *Human Physiology and Sports Physiotherapy Research Group, Vrije Universiteit Brussel, Brussels, Belgium.ORCID http://orcid.org/0000-0003-0117-8356
Ahmed Radwan *Department of Imaging and Pathology, Translational MRI, KU Leuven, Leuven, Belgium.ORCID http://orcid.org/0000-0002-4819-548X
Jeroen BlommaertDepartment of Oncology, KU Leuven, Leuven, Belgium.ORCID http://orcid.org/0000-0002-4746-9688
Lara StasBiostatistics and Medical Informatics Research Group, Faculty of Medicine and Pharmacy, Department of Public Health, Vrije Universiteit Brussel, Brussels, Belgium.ORCID http://orcid.org/0000-0003-1567-2881
Bruno TassignonHuman Physiology and Sports Physiotherapy Research Group, Vrije Universiteit Brussel, Brussels, Belgium.ORCID http://orcid.org/0000-0003-3216-4045
Sabine D AllardInfectious Diseases Unit, Department of Internal Medicine, UZ Brussel, Jette, Belgium.ORCID http://orcid.org/0000-0002-1565-7318
Filip De RidderDepartment of Radiology and Magnetic Resonance, UZ Brussel, Brussels, Belgium.
Elisabeth De WaeleIntensive Care Unit, UZ Brussel, Jette, Belgium.
Nicole HoornaertInfectious Diseases Unit, Department of Internal Medicine, UZ Brussel, Jette, Belgium.
Patrick LacorInfectious Diseases Unit, Department of Internal Medicine, UZ Brussel, Jette, Belgium.
Rembert MertensInfectious Diseases Unit, Department of Internal Medicine, UZ Brussel, Jette, Belgium.
Maarten NaeyaertDepartment of Radiology and Magnetic Resonance, UZ Brussel, Brussels, Belgium.ORCID http://orcid.org/0000-0002-7452-5534
Hubert RaeymaekersDepartment of Radiology and Magnetic Resonance, UZ Brussel, Brussels, Belgium.ORCID http://orcid.org/0000-0003-0041-6359
Lucie SeylerInfectious Diseases Unit, Department of Internal Medicine, UZ Brussel, Jette, Belgium.ORCID http://orcid.org/0000-0003-3559-6847
Anne-Marie VanbinstDepartment of Radiology and Magnetic Resonance, UZ Brussel, Brussels, Belgium.
Lien Van LiedekerkeDepartment of Radiology and Magnetic Resonance, UZ Brussel, Brussels, Belgium.
Jeroen Van SchependomArtificial Intelligence and Modelling in Clinical Science, Vrije Universiteit Brussel, Brussels, Belgium.ORCID http://orcid.org/0000-0003-1200-5872
Peter Van SchuerbeekDepartment of Radiology and Magnetic Resonance, UZ Brussel, Brussels, Belgium.ORCID http://orcid.org/0000-0003-3647-4446
Steven ProvynDepartment of Anatomical Research and Clinical Studies (ARCS), Vrije Universiteit Brussel, Brussels, Belgium.ORCID http://orcid.org/0000-0002-2588-2463
Bart RoelandsHuman Physiology and Sports Physiotherapy Research Group, Vrije Universiteit Brussel, Brussels, Belgium.ORCID http://orcid.org/0000-0002-2808-044X
Marie VandekerckhoveDepartment of Radiology and Magnetic Resonance, UZ Brussel, Brussels, Belgium.
Romain MeeusenHuman Physiology and Sports Physiotherapy Research Group, Vrije Universiteit Brussel, Brussels, Belgium.
Stefan SunaertDepartment of Imaging and Pathology, Translational MRI, KU Leuven, Leuven, Belgium.ORCID http://orcid.org/0000-0002-1177-4680
Guy NagelsArtificial Intelligence and Modelling in Clinical Science, Vrije Universiteit Brussel, Brussels, Belgium.
Johan De MeyDepartment of Radiology and Magnetic Resonance, UZ Brussel, Brussels, Belgium.
Kevin De PauwHuman Physiology and Sports Physiotherapy Research Group, Vrije Universiteit Brussel, Brussels, Belgium. Kevin.De.Pauw@vub.be.ORCID http://orcid.org/0000-0002-6901-7199
Universitair Ziekenhuis Brussel · BEVrije Universiteit Brussel · BEKU Leuven · BEUniversitair Ziekenhuis Leuven · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19 can induce neurological sequelae, negatively affecting the quality of life. Unravelling this illness's impact on structural brain connectivity, white-matter microstructure (WMM), and cognitive performance may help elucidate its implications. This cross-sectional study aimed to investigate differences in these factors between former hospitalised COVID-19 patients (COV) and healthy controls. Group differences in structural brain connectivity were explored using Welch-two sample t-tests and two-sample Mann-Whitney U tests. Multivariate linear models were constructed (one per region) to examine fixel-based group differences. Differences in cognitive performance between groups were investigated using Wilcoxon Rank Sum tests. Possible effects of bundle-specific FD measures on cognitive performance were explored using a two-group path model. No differences in whole-brain structural organisation were found. Bundle-specific metrics showed reduced fiber density (p = 0.012, Hedges' g = 0.884) and fiber density cross-section (p = 0.007, Hedges' g = 0.945) in the motor segment of the corpus callosum in COV compared to healthy controls. Cognitive performance on the motor praxis and digit symbol substitution tests was worse in COV than healthy controls (p < 0.001, r = 0.688; p = 0.013, r = 422, respectively). Associations between the cognitive performance and bundle-specific FD measures differed significantly between groups. WMM and cognitive performance differences were observed between COV and healthy controls.

Indexed as

ConnectomeCOVID-19Case-Control StudiesCross-Sectional StudiesHumansQuality of Life

Identifiers

PMID37735584
PMCPMC10514277
OpenAlexW4386929376

What Socratic 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 Socratic graph.