Evidence map›Paper›PMID 37936010›Full record

ArticleJournal of neurology2024

Persistent cognitive slowing in post-COVID patients: longitudinal study over 6 months.

Eva Maria Martin, Annie Srowig, Isabelle Utech, Simon Schrenk, Fabian Kattlun, Monique Radscheidt, Stefan Brodoehl, Peter Bublak, Matthias Schwab, Christian Geis and 4 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of neurology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
5.1field-weighted citation impact, top 4% 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

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  11. Cognitive Trajectories After Hospitalization for COVID-19: A 36-Month Longitudinal Study.The Journal of neuropsychiatry and clinical neurosciences · 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

14 authors at 1 institution in 1 country.

Eva Maria MartinDepartment of Neurology, Jena University Hospital, Jena, Germany. evamaria.martin@med.uni-jena.de.ORCID http://orcid.org/0009-0004-4840-4263
Annie SrowigDepartment of Neurology, Jena University Hospital, Jena, Germany.
Isabelle UtechDepartment of Neurology, Jena University Hospital, Jena, Germany.
Simon SchrenkDepartment of Neurology, Jena University Hospital, Jena, Germany.
Fabian KattlunDepartment 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.
Peter BublakDepartment of Neurology, Jena University Hospital, Jena, Germany.
Matthias SchwabDepartment of Neurology, Jena University Hospital, Jena, Germany.
Christian GeisDepartment of Neurology, Jena University Hospital, Jena, Germany.
Bianca BesteherDepartment of Psychiatry, Jena University Hospital, Jena, Germany.
Philipp A ReukenDepartment of Internal Medicine IV (Gastroenterology, Hepatology and Infectious Diseases), Jena University Hospital, Jena, Germany.
Andreas StallmachDepartment of Internal Medicine IV (Gastroenterology, Hepatology and Infectious Diseases), Jena University Hospital, Jena, Germany.
Kathrin FinkeDepartment of Neurology, Jena University Hospital, Jena, Germany.
Jena University Hospital · DE

Funding

Deutsche Forschungsgemeinschaft DFGDeutsche Forschungsgemeinschaft FI 1424/2-1Friedrich-Schiller-Universität Jena LandesgraduiertenstipendiumHorizon 2020 Framework Programme of the European Union H2020-MSCA-ITN-2019-859890Horizon 2020 Framework Programme of the European Union ITN SmartAgeThüringer Aufbaubank 2021 FGI 0060
6 · The paper itself

Abstract

backgroundFatigue is a frequent and one of the most debilitating symptoms in post-COVID syndrome (PCS). Recently, we proposed that fatigue is caused by hypoactivity of the brain's arousal network and reflected by a reduction of cognitive processing speed. However, it is unclear whether cognitive slowing is revealed by standard neuropsychological tests, represents a selective deficit, and how it develops over time.

objectivesThis prospective study assesses whether PCS patients show deficits particularly in tests relying on processing speed and provides the first longitudinal assessment focusing on processing speed in PCS patients.

methodsEighty-eight PCS patients with cognitive complaints and 50 matched healthy controls underwent neuropsychological assessment. Seventy-seven patients were subsequently assessed at 6-month follow-up. The Test for Attentional Performance measured tonic alertness as primary study outcome and additional attentional functions. The Neuropsychological Assessment Battery evaluated all key cognitive domains.

resultsPatients showed cognitive slowing indicated by longer reaction times compared to control participants (r = 0.51, p < 0.001) in a simple-response tonic alertness task and in all more complex tasks requiring speeded performance. Reduced alertness correlated with higher fatigue (r =  - 0.408, p < 0.001). Alertness dysfunction remained unchanged at 6-month follow-up (p = 0.240) and the same was true for most attention tasks and cognitive domains.

conclusionHypoarousal is a core deficit in PCS which becomes evident as a selective decrease of processing speed observed in standard neuropsychological tests. This core deficit persists without any signs of amelioration over a 6-month period of time.

Indexed as

COVID-19CognitionFatigueHumansLongitudinal StudiesNeuropsychological TestsProspective StudiesCognitive dysfunctionFatigueLongitudinal coursePost-COVIDProcessing speedTonic alertness

Identifiers

PMID37936010
PMCPMC10769987
OpenAlexW4388446467

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.