Evidence map›Paper›PMID 38353947›Full record

ArticleJAMA network open2024

Cognitive Symptoms of Post-COVID-19 Condition and Daily Functioning.

Abhishek Jaywant, Faith M Gunning, Lauren E Oberlin, Mauricio Santillana, Katherine Ognyanova, James N Druckman, Matthew A Baum, David Lazer, Roy H Perlis

Open access · goldAbstract read
In one paragraph

Article in JAMA network open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
15.1field-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

33 citing papers in PubMed, 41 citations in OpenAlex.

  1. Trial
  2. A digital intervention for cognitive deficits following COVID-19: a randomized clinical trial.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024
    Trial
  3. Trial
  4. Article
  5. Article
  6. Article
  7. Article
  8. Prevalence of Long COVID inJournal of clinical tuberculosis and other mycobacterial diseases · 2026
    Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Episodic memory deficits and processes in post-COVID condition.European archives of psychiatry and clinical neuroscience · 2026
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Neuroimmune pathophysiology of long COVID.Psychiatry and clinical neurosciences · 2025
    Review
  19. Article
  20. Observational
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 5 institutions in 1 country.

Abhishek JaywantDepartment of Psychiatry, Weill Cornell Medicine, New York, New York.
Faith M GunningDepartment of Psychiatry, Weill Cornell Medicine, New York, New York.
Lauren E OberlinDepartment of Psychiatry, Weill Cornell Medicine, New York, New York.
Mauricio SantillanaMachine Intelligence Group for the Betterment of Health and the Environment, Northeastern University, Boston, Massachusetts.
Katherine OgnyanovaDepartment of Communication, School of Communication and Information, Rutgers University, New Brunswick, New Jersey.
James N DruckmanDepartment of Political Science, University of Rochester, Rochester, New York.
Matthew A BaumJohn F. Kennedy School of Government and Department of Government, Harvard University, Cambridge, Massachusetts.
David LazerNetwork Science Institute, Northeastern University, Boston, Massachusetts.
Roy H PerlisCenter for Quantitative Health, Massachusetts General Hospital, Boston.
Harvard University · USWeill Cornell Medicine · USNortheastern University · USRutgers, The State University of New Jersey · USUniversity of Rochester · US

Funding

Development of an Open-Source and Data-Driven Modeling Platform to Monitor and Forecast Disease ActivityR01GM130668 · NIGMS · NORTHEASTERN UNIVERSITY · PI SANTILLANA, MAURICIO · 2018 to 2022
$1.9M
Targeting Network Dysfunction in Apathy of Late-life Depression Using Digital TherapeuticsK23MH129882 · NIMH · WEILL MEDICAL COLL OF CORNELL UNIV · PI Lauren Elizabeth Oberlin · 2023 to 2026
$775k
NIGMS NIH HHS R01 GM130668NIMH NIH HHS K23 MH129882
6 · The paper itself

Abstract

Importance: The frequent occurrence of cognitive symptoms in post-COVID-19 condition has been described, but the nature of these symptoms and their demographic and functional factors are not well characterized in generalizable populations. Objective: To investigate the prevalence of self-reported cognitive symptoms in post-COVID-19 condition, in comparison with individuals with prior acute SARS-CoV-2 infection who did not develop post-COVID-19 condition, and their association with other individual features, including depressive symptoms and functional status. Design, Setting, and Participants: Two waves of a 50-state nonprobability population-based internet survey conducted between December 22, 2022, and May 5, 2023. Participants included survey respondents aged 18 years and older. Exposure: Post-COVID-19 condition, defined as self-report of symptoms attributed to COVID-19 beyond 2 months after the initial month of illness. Main Outcomes and Measures: Seven items from the Neuro-QoL cognition battery assessing the frequency of cognitive symptoms in the past week and patient Health Questionnaire-9. Results: The 14 767 individuals reporting test-confirmed COVID-19 illness at least 2 months before the survey had a mean (SD) age of 44.6 (16.3) years; 568 (3.8%) were Asian, 1484 (10.0%) were Black, 1408 (9.5%) were Hispanic, and 10 811 (73.2%) were White. A total of 10 037 respondents (68.0%) were women and 4730 (32.0%) were men. Of the 1683 individuals reporting post-COVID-19 condition, 955 (56.7%) reported at least 1 cognitive symptom experienced daily, compared with 3552 of 13 084 (27.1%) of those who did not report post-COVID-19 condition. More daily cognitive symptoms were associated with a greater likelihood of reporting at least moderate interference with functioning (unadjusted odds ratio [OR], 1.31 [95% CI, 1.25-1.36]; adjusted [AOR], 1.30 [95% CI, 1.25-1.36]), lesser likelihood of full-time employment (unadjusted OR, 0.95 [95% CI, 0.91-0.99]; AOR, 0.92 [95% CI, 0.88-0.96]) and greater severity of depressive symptoms (unadjusted coefficient, 1.40 [95% CI, 1.29-1.51]; adjusted coefficient 1.27 [95% CI, 1.17-1.38). After including depressive symptoms in regression models, associations were also found between cognitive symptoms and at least moderate interference with everyday functioning (AOR, 1.27 [95% CI, 1.21-1.33]) and between cognitive symptoms and lower odds of full-time employment (AOR, 0.92 [95% CI, 0.88-0.97]). Conclusions and Relevance: The findings of this survey study of US adults suggest that cognitive symptoms are common among individuals with post-COVID-19 condition and associated with greater self-reported functional impairment, lesser likelihood of full-time employment, and greater depressive symptom severity. Screening for and addressing cognitive symptoms is an important component of the public health response to post-COVID-19 condition.

Indexed as

COVID-19AdultChronic DiseaseCognitionFemaleHumansMalePost-Acute COVID-19 SyndromeQuality of LifeSARS-CoV-2Self Report

Identifiers

PMID38353947
PMCPMC10867690
OpenAlexW4391823191

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.