ArticleInternational journal of environmental research and public health2023
Personalized Computerized Training for Cognitive Dysfunction after COVID-19: A Before-and-After Feasibility Pilot Study.
Article in International journal of environmental research and public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05571852 (Before-and-after Study on the Impact of a Home-based Personalized Computerized Training Program on Cognitive Dysfunction Associated With Long COVID), which is not on this map. Cited by 16 papers, 2 of them syntheses that pooled 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.
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.
Before-and-after Study on the Impact of a Home-based Personalized Computerized Training Program on Cognitive Dysfunction Associated With Long COVID
Who cites it
16 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Research evidence on the management of the cognitive impairment component of the post-COVID condition: a qualitative systematic review.European psychiatry : the journal of the Association of European Psychiatrists · 2024Pooled it
- Intervention modalities for brain fog caused by long-COVID: systematic review of the literature.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2024Pooled it
- Cognitive behavioral therapy, exercise training, and cognitive remediation for patients with post-COVID-19 condition: protocol of an open-label randomized controlled trial.BMC psychology · 2025Trial
- A randomized comparative feasibility study of neuromodulation and cognitive training for post-COVID fatigue.Scientific reports · 2025Trial
- Article
- Economic burden of long COVID: macroeconomic, cost-of-illness and microeconomic impacts.NPJ primary care respiratory medicine · 2025Review
- Codeveloping a Novel Intervention for People With Post-COVID Condition: The Balance-ACT Study.Health expectations : an international journal of public participation in health care and health policy · 2025Article
- A Narrative Review of the Efficacy of Long COVID Interventions on Brain Fog, Processing Speed, and Other Related Cognitive Outcomes.Biomedicines · 2025Review
- A tablet-based intervention study to alleviate cognitive and psychological symptoms in patients with post-Covid-19 condition.Frontiers in psychology · 2025Article
- A prospective non-randomized controlled trial testing the effectiveness of psychotherapeutic inpatient treatment of Post-COVID-19 syndrome - study protocol.BMC psychology · 2024Article
- Enhancing Executive Functions in Pediatric Epilepsy: Feasibility and Efficacy of a Computerized Cognitive Training Program.Children (Basel, Switzerland) · 2024Article
- "Brain Fog" After COVID-19 Infection: How the Field of Neuropsychology Can Help Clear the Air.Advances in experimental medicine and biology · 2024Article
- Management of cognitive impairment associated with post-COVID-19 syndrome: recommendations for primary care.Frontiers in pharmacology · 2024Review
- Cognitive Interventions in Individuals With Chronic Respiratory Diseases: Protocol for a Systematic Review.JMIR research protocols · 2023Article
- Effectiveness of a Computerized Home-Based Cognitive Stimulation Program for Treating Cancer-Related Cognitive Impairment.International journal of environmental research and public health · 2023Article
- Cognitive decline monitoring through a web-based application.Frontiers in aging neuroscience · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The current pilot study was set to evaluate the feasibility and potential benefit of a personalized computerized cognitive training (CCT) intervention to improve cognitive function among people living with post-acute sequelae of COVID-19 (PASC). Seventy three adults who self-reported cognitive dysfunction more than 3 months after a diagnosis of COVID-19 took part in an 8-week training study. Participants' general cognitive function was assessed before they completed as many cognitive daily training sessions as they wished during an 8-week period, using a personalized CCT application at home. At the end of this period, participants repeated the general cognitive function assessment. The differences between the scores at 8 weeks and baseline in five cognitive domains (attention, memory, coordination, perception, reasoning), complemented with analyses of the changes based on the participants' age, training time, self-reported health level at baseline and time since the initial COVID-19 infection. Participants had significant cognitive dysfunction and self-reported negative health levels at baseline. Most of the participants obtained higher scores after CCT in each of the domains as compared with baseline. The magnitude of this score increase was high across domains. It is concluded that a self-administered CCT based on gamified cognitive tasks could be an effective way to ameliorate cognitive dysfunction in persons with PASC. The ClinicalTrials.gov identifier is NCT05571852.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.