Evidence map›Paper›PMID 38318123›Full record

ArticleEClinicalMedicine2024

Long COVID is associated with severe cognitive slowing: a multicentre cross-sectional study.

Sijia Zhao, Eva Maria Martin, Philipp A Reuken, Anna Scholcz, Akke Ganse-Dumrath, Annie Srowig, Isabelle Utech, Valeska Kozik, Monique Radscheidt, Stefan Brodoehl and 5 more

Abstract read
In one paragraph

Article in EClinicalMedicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed
–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

53 citing papers in PubMed.

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  10. CD169Frontiers in cellular and infection microbiology · 2026
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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

15 authors.

Sijia ZhaoDepartment of Experimental Psychology, University of Oxford, Oxford, OX2 6GG, UK.
Eva Maria MartinDepartment of Neurology, Jena University Hospital, Jena, Germany.
Philipp A ReukenDepartment of Internal Medicine IV (Gastroenterology, Hepatology and Infectious Diseases), Jena University Hospital, Jena, Germany.
Anna ScholczDepartment of Experimental Psychology, University of Oxford, Oxford, OX2 6GG, UK.
Akke Ganse-DumrathDepartment of Experimental Psychology, University of Oxford, Oxford, OX2 6GG, UK.
Annie SrowigDepartment of Neurology, Jena University Hospital, Jena, Germany.
Isabelle UtechDepartment of Neurology, Jena University Hospital, Jena, Germany.
Valeska KozikDepartment of Neurology, Jena University Hospital, Jena, Germany.
Monique RadscheidtDepartment of Neurology, Jena University Hospital, Jena, Germany.
Stefan BrodoehlDepartment of Neurology, Jena University Hospital, Jena, Germany.
Andreas StallmachDepartment of Internal Medicine IV (Gastroenterology, Hepatology and Infectious Diseases), Jena University Hospital, Jena, Germany.
Matthias SchwabDepartment of Neurology, Jena University Hospital, Jena, Germany.
Emily FraserOxfordshire Post-COVID Assessment Clinic, Oxford University Hospitals Foundation NHS Trust, Oxford, UK.
Kathrin FinkeDepartment of Neurology, Jena University Hospital, Jena, Germany.
Masud HusainDepartment of Experimental Psychology, University of Oxford, Oxford, OX2 6GG, UK.

Funding

Wellcome Trust
6 · The paper itself

Abstract

Background: COVID-19 survivors may experience a wide range of chronic cognitive symptoms for months or years as part of post-COVID-19 conditions (PCC). To date, there is no definitive objective cognitive marker for PCC. We hypothesised that a key common deficit in people with PCC might be generalised cognitive slowing. Methods: To examine cognitive slowing, patients with PCC completed two short web-based cognitive tasks, Simple Reaction Time (SRT) and Number Vigilance Test (NVT). 270 patients diagnosed with PCC at two different clinics in UK and Germany were compared to two control groups: individuals who contracted COVID-19 before but did not experience PCC after recovery (No-PCC group) and uninfected individuals (No-COVID group). All patients with PCC completed the study between May 18, 2021 and July 4, 2023 in Jena University Hospital, Jena, Germany and Long COVID clinic, Oxford, UK. Findings: We identified pronounced cognitive slowing in patients with PCC, which distinguished them from age-matched healthy individuals who previously had symptomatic COVID-19 but did not manifest PCC. Cognitive slowing was evident even on a 30-s task measuring simple reaction time (SRT), with patients with PCC responding to stimuli ∼3 standard deviations slower than healthy controls. 53.5% of patients with PCC's response speed was slower than 2 standard deviations from the control mean, indicating a high prevalence of cognitive slowing in PCC. This finding was replicated across two clinic samples in Germany and the UK. Comorbidities such as fatigue, depression, anxiety, sleep disturbance, and post-traumatic stress disorder did not account for the extent of cognitive slowing in patients with PCC. Furthermore, cognitive slowing on the SRT was highly correlated with the poor performance of patients with PCC on the NVT measure of sustained attention. Interpretation: Together, these results robustly demonstrate pronounced cognitive slowing in people with PCC, which distinguishes them from age-matched healthy individuals who previously had symptomatic COVID-19 but did not manifest PCC. This might be an important factor contributing to some of the cognitive impairments reported in patients with PCC. Funding: Wellcome Trust (206330/Z/17/Z), NIHR Oxford Health Biomedical Research Centre, the Thüringer Aufbaubank (2021 FGI 0060), German Forschungsgemeinschaft (DFG, FI 1424/2-1) and the Horizon 2020 Framework Programme of the European Union (ITN SmartAge, H2020-MSCA-ITN-2019-859890).

Indexed as

CognitionCOVID-19Post-acute COVID syndromePost-COVID conditionsProcessing speedResponse time

Identifiers

PMID38318123
PMCPMC10839583

What OpenQuestion holds

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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.