Evidence map›Paper›PMID 39498311›Full record

ArticleAmerican journal of medicine open2024

Characterization of Change in Cognition Before and After COVID-19 Infection in Essential Workers at Midlife.

Zennur Sekendiz, Olga Morozova, Melissa A Carr, Ashley Fontana, Nikhil Mehta, Alina Ali, Eugene Jiang, Tesleem Babalola, Sean A P Clouston, Benjamin J Luft

Abstract read
In one paragraph

Article in American journal of medicine open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Zennur SekendizDepartment of Medicine-World Trade Center Health Program, Stony Brook University, Commack, NY, USA.
Olga MorozovaDepartment of Public Health Sciences, The University of Chicago Division of Biological Sciences, Chicago, IL, USA.
Melissa A CarrDepartment of Medicine-World Trade Center Health Program, Stony Brook University, Commack, NY, USA.
Ashley FontanaDepartment of Medicine-World Trade Center Health Program, Stony Brook University, Commack, NY, USA.
Nikhil MehtaDepartment of Medicine-World Trade Center Health Program, Stony Brook University, Commack, NY, USA.
Alina AliDepartment of Medicine-World Trade Center Health Program, Stony Brook University, Commack, NY, USA.
Eugene JiangDepartment of Medicine-World Trade Center Health Program, Stony Brook University, Commack, NY, USA.
Tesleem BabalolaStony Brook University, Family, Population and Preventive Medicine, Program in Public Health, Stony Brook, NY, USA.
Sean A P CloustonStony Brook University, Family, Population and Preventive Medicine, Program in Public Health, Stony Brook, NY, USA.
Benjamin J LuftDepartment of Medicine-World Trade Center Health Program, Stony Brook University, Commack, NY, USA.

Funding

A lifecourse approach to PTSD and cognitive aging: A cohort of 9/11 respondersR01AG049953 · NIA · STATE UNIVERSITY NEW YORK STONY BROOK · PI CLOUSTON, SEAN · 2015 to 2024
$11.0M
NIA NIH HHS R01 AG049953NIOSH CDC HHS U01 OH012275
6 · The paper itself

Abstract

Background: Research into COVID-19-related cognitive decline has focused on individuals who are cognitively impaired following hospitalization for COVID-19. Our objective was to determine whether cognitive decline emerged after the onset of COVID-19 and was more pronounced in patients with postacute sequelae of SARS-CoV-2 infection (PASC). Methods: We analyzed longitudinal cognitive data collected during a cohort study of essential workers at midlife that continued through the COVID-19 pandemic. We used longitudinal discontinuity models, a form of causal modeling, to examine the change in cognitive performance among 276 participants with COVID-19 in comparison to contemporaneously-collected information from 217 participants who did not have COVID-19. Cognitive performance across four domains was measured before and after the pandemic. Eligible study participants were those with validated COVID-19 diagnoses who were observed before having a verified COVID-19 infection who survived their initial infection, and for whom post-COVID-19 information was also available. Results: The mean age of the COVID-19 group was 56.0 ± 6.6 years old, while the control group was 58.1 ± 7.3 years old. Longitudinal models indicated a significant decline in cognitive throughput (β = -0.168, P = .001) following COVID-19, after adjustment for pre-COVID-19 functioning, demographics, and medical factors. Associations were larger in those with more severe COVID-19 and those who reported PASC. Observed changes in throughput were equivalent to 10.6 years of normal aging. Conclusion: Findings from this longitudinal causal modeling study revealed that COVID-19 and PASC appeared to cause clincially relevant cognitive deterioration.

Indexed as

Coronavirus disease 2019 (COVID-19)Covid-19 related cognitive decline (CRCD)Executive dysfunctionPostacute sequelae of SARS-CoV-2 (PASC)Severe acute respiratory syndrome coronavirus 2 (SARS-COV-2)

Identifiers

PMID39498311
PMCPMC11533481

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Registered trials

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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.