Evidence map›Paper›PMID 36233392›Full record

ArticleJournal of clinical medicine2022

A New Look on Long-COVID Effects: The Functional Brain Fog Syndrome.

Maria Donata Orfei, Desirée Estela Porcari, Sonia D'Arcangelo, Francesca Maggi, Dario Russignaga, Emiliano Ricciardi

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
3.5field-weighted citation impact, top 6% 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

19 citing papers in PubMed, 2 syntheses or guidelines pooled it, 30 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Review
  6. Article
  7. 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
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Frailty after COVID-19: The wave after?Aging medicine (Milton (N.S.W)) · 2023
    Review
  15. Observational
  16. Article
  17. Review
  18. Article
  19. Article
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

6 authors at 1 institution in 1 country.

Maria Donata OrfeiMolecular Mind Laboratory (MoMiLab), IMT School for Advanced Studies Lucca, Piazza S. Francesco 19, 55100 Lucca, Italy.ORCID 0000-0003-2006-7555
Desirée Estela PorcariMolecular Mind Laboratory (MoMiLab), IMT School for Advanced Studies Lucca, Piazza S. Francesco 19, 55100 Lucca, Italy.ORCID 0000-0003-4338-1547
Sonia D'ArcangeloIntesa Sanpaolo Innovation Center SpA Neuroscience Lab, Via Inghilterra 3, 10138 Turin, Italy.
Francesca MaggiIntesa Sanpaolo Innovation Center SpA Neuroscience Lab, Via Inghilterra 3, 10138 Turin, Italy.
Dario RussignagaIntesa Sanpaolo S.p.A., HSE Office, Via Lorenteggio 266, 20152 Milan, Italy.
Emiliano RicciardiMolecular Mind Laboratory (MoMiLab), IMT School for Advanced Studies Lucca, Piazza S. Francesco 19, 55100 Lucca, Italy.
IMT School for Advanced Studies Lucca · IT

Funding

Intesa Sanpaolo Innovation Center; Programmazione Triennale (PRO3) project: 'Neurocognitive, sensory-motor, and emotional out-comes following the pandemic in populations at risk' 289/2021
6 · The paper itself

Abstract

Epidemiological data and etiopathogenesis of brain fog are very heterogeneous in the literature, preventing adequate diagnosis and treatment. Our study aimed to explore the relationship between brain fog, neuropsychiatric and cognitive symptoms in the general population. A sample of 441 subjects underwent a web-based survey, including the PANAS, the DASS-21, the IES-R, the Beck Cognitive Insight Scale, and a questionnaire investigating demographic information, brain fog, subjective cognitive impairments (Scc) and sleep disorders. ANOVA, ANCOVA, correlation and multiple stepwise regression analyses were performed. In our sample, 33% of participants were defined as Healthy Subjects (HS; no brain fog, no Scc), 27% as Probable Brain Fog (PBF; brain fog or Scc), and 40% as Functional Brain Fog (FBF; brain fog plus Scc). PBF and FBF showed higher levels of neuropsychiatric symptoms than HS, and FBF showed the worst psychological outcome. Moreover, worse cognitive symptoms were related to the female gender, greater neuropsychiatric symptoms, sleep disorders, and rumination/indecision. Being a woman and more severe neuropsychiatric symptoms were predictors of FBF severity. Our data pointed out a high prevalence and various levels of severity and impairments of brain fog, suggesting a classificatory proposal and a multifaceted etiopathogenic model, thus facilitating adequate diagnostic and therapeutic approaches.

Indexed as

brain fogCOVID-19long haulerspandemicsubjective cognitive complaints

Identifiers

PMID36233392
PMCPMC9573330
OpenAlexW4296993473

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.