Evidence map›Paper›PMID 35370620›Full record

ArticleFrontiers in aging neuroscience2022

COVCOG 2: Cognitive and Memory Deficits in Long COVID: A Second Publication From the COVID and Cognition Study.

Panyuan Guo, Alvaro Benito Ballesteros, Sabine P Yeung, Ruby Liu, Arka Saha, Lyn Curtis, Muzaffer Kaser, Mark P Haggard, Lucy G Cheke

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in aging neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
88citing papers in PubMed, 6 pooled it
19.5field-weighted citation impact, top 1% 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

88 citing papers in PubMed, 6 syntheses or guidelines pooled it, 159 citations in OpenAlex.

  1. Pooled it
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  3. Pathophysiological Mechanisms in Long COVID: A Mixed Method Systematic Review.International journal of environmental research and public health · 2024
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  13. Toward characterizing brain fog in long COVID: correlates and impact on measurement metrics.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026
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28 more citing papers are in PubMed but not listed here.

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

9 authors at 2 institutions in 1 country.

Panyuan GuoDepartment of Psychology, University of Cambridge, Cambridge, United Kingdom.
Alvaro Benito BallesterosDepartment of Psychology, University of Cambridge, Cambridge, United Kingdom.
Sabine P YeungDepartment of Psychology, University of Cambridge, Cambridge, United Kingdom.
Ruby LiuDepartment of Psychology, University of Cambridge, Cambridge, United Kingdom.
Arka SahaDepartment of Psychology, University of Cambridge, Cambridge, United Kingdom.
Lyn CurtisSchool of Psychology, College of Life and Environmental Sciences, University of Exeter, Exeter, United Kingdom.
Muzaffer KaserDepartment of Psychiatry, University of Cambridge, Cambridge, United Kingdom.
Mark P HaggardDepartment of Psychology, University of Cambridge, Cambridge, United Kingdom.
Lucy G ChekeDepartment of Psychology, University of Cambridge, Cambridge, United Kingdom.
University of Cambridge · GBUniversity of Exeter · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has been often characterized as a respiratory disease. However, it is increasingly being understood as an infection that impacts multiple systems, and many patients report neurological symptoms. Indeed, there is accumulating evidence for neural damage in some individuals, with recent studies suggesting loss of gray matter in multiple regions, particularly in the left hemisphere. There are several mechanisms by which the COVID-19 infection may lead to neurological symptoms and structural and functional changes in the brain, and cognitive problems are one of the most commonly reported symptoms in those experiencing Long COVID - the chronic illness following the COVID-19 infection that affects between 10 and 25% of patients. However, there is yet little research testing cognition in Long COVID. The COVID and Cognition Study is a cross-sectional/longitudinal study aiming to understand cognitive problems in Long COVID. The first paper from the study explored the characteristics of our sample of 181 individuals who had experienced the COVID-19 infection, and 185 who had not, and the factors that predicted ongoing symptoms and self-reported cognitive deficits. In this second paper from the study, we assess this sample on tests of memory, language, and executive function. We hypothesize that performance on "objective" cognitive tests will reflect self-reported cognitive symptoms. We further hypothesize that some symptom profiles may be more predictive of cognitive performance than others, perhaps giving some information about the mechanism. We found a consistent pattern of memory deficits in those that had experienced the COVID-19 infection, with deficits increasing with the severity of self-reported ongoing symptoms. Fatigue/Mixed symptoms during the initial illness and ongoing neurological symptoms were predictive of cognitive performance.

Indexed as

cognitionCOVID-19executive functionslanguageLong COVIDmemoryneurologicalsymptoms

Identifiers

PMID35370620
PMCPMC8967943
OpenAlexW4225839404

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.