Evidence map›Paper›PMID 41772376›Full record

Observational studyAlzheimer's & dementia : the journal of the Alzheimer's Association2026

Increased incidence of mild cognitive impairment in long COVID patients.

Jennifer A Frontera, Arjun V Masurkar, Rebecca A Betensky, Zariya Alvarez, Allal Boutajangout, Joshua Chodosh, Salma Hammam, Jessica Hunter, Li Jiang, Melanie Li and 10 more

Abstract readObservational Study
In one paragraph

Observational study in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

20 authors.

Jennifer A FronteraNew York University Grossman School of Medicine, New York, New York, USA.ORCID 0000-0002-0719-2522
Arjun V MasurkarNew York University Grossman School of Medicine, New York, New York, USA.
Rebecca A BetenskyNew York University School of Global Public Health, New York, New York, USA.
Zariya AlvarezNew York University Grossman School of Medicine, New York, New York, USA.
Allal BoutajangoutNew York University Grossman School of Medicine, New York, New York, USA.
Joshua ChodoshNew York University Grossman School of Medicine, New York, New York, USA.
Salma HammamNew York University Grossman School of Medicine, New York, New York, USA.
Jessica HunterNew York University Grossman School of Medicine, New York, New York, USA.
Li JiangNew York University Grossman School of Medicine, New York, New York, USA.
Melanie LiNew York University Grossman School of Medicine, New York, New York, USA.
Jon LinksNew York University Grossman School of Medicine, New York, New York, USA.
Karyn MarshNew York University Grossman School of Medicine, New York, New York, USA.
Huize PangNew York University Grossman School of Medicine, New York, New York, USA.
Floyd SilvaNew York University Grossman School of Medicine, New York, New York, USA.
Sujata ThawaniNew York University Grossman School of Medicine, New York, New York, USA.
Daria VasilchenkoNew York University Grossman School of Medicine, New York, New York, USA.
Alok VedvyasNew York University Grossman School of Medicine, New York, New York, USA.
Amin YakubovNew York University Langone Health, New York, New York, USA.
Yulin GeNew York University Grossman School of Medicine, New York, New York, USA.
Thomas WisniewskiNew York University Grossman School of Medicine, New York, New York, USA.

Funding

Research Education ComponentP30AG066512 · NIA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Mary Sherman Mittelman · 2020 to 2026
$28.4M
Alzheimer’s Disease Related Biomarkers following SARS-CoV-2 InfectionR01AG077422 · NIA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Jennifer Ann Frontera, Yulin Ge · 2022 to 2026
$6.9M
Statistical Methods for Accurate Estimation and Prediction in Alzheimer's DiseaseR01AG092774 · NIA · NEW YORK UNIVERSITY · PI REBECCA A. BETENSKY · 2025 to 2026
$718k
NIA NIH HHS P30 AG066512NIH/NIA P30AG066512NIH/NIA R01AG077422NIH/NIA R01AG092774
6 · The paper itself

Abstract

introductionThough brain fog is common in Long-coronavirus disease 2019 (Long-COVID), the incidence of mild cognitive impairment (MCI) is unknown.

methodsIn an observational cohort study, recovered COVID-positive, Long-COVID, and COVID-negative subjects underwent blinded evaluation using National Alzheimer's Coordinating Center (NACC) and National Institute on Aging (NIA) -Alzheimer's Association diagnostic criteria for dementia and MCI. The cumulative incidence of MCI was calculated for each group, and the hazard of MCI was compared between groups.

resultsAmong 260 subjects, the cumulative incidence of MCI over 4.4 years was higher with Long-COVID (27%) versus recovered-COVID (5%) or COVID-negative status (1%). There was a higher hazard of MCI for patients with Long-COVID compared to those without (hazard ratio [HR] 3.93, 95% confidence interval [CI] 1.86-8.31, p < 0.001), and specifically for the Alzheimer's disease (AD) -related MCI subtype (HR 3.20, 95% confidence interval [CI] 1.14-9.00, p = 0.027). DISCUSSION: The cumulative incidence and adjusted hazard of MCI (and specifically AD-related MCI) at 4.4 years was significantly higher among Long-COVID patients compared to recovered-COVID and COVID-negative controls.

Indexed as

Cognitive DysfunctionCOVID-19AgedAged, 80 and overCohort StudiesFemaleHumansIncidenceMalePandemicsPost-Acute COVID-19 SyndromeSARS-CoV-2Alzheimer's diseasecognitionCOVID‐19cumulative incidencedementiaincidencelong‐COVIDlong‐haulerMCImild cognitive impairmentpost‐acute sequelae of COVIDpost‐COVID syndromeSARS‐CoV‐2

Identifiers

PMID41772376
PMCPMC12953049

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.