Evidence map›Paper›PMID 34281568›Full record

ArticleMolecular neurodegeneration2021

Post-infection cognitive impairments in a cohort of elderly patients with COVID-19.

Yu-Hui Liu, Ye-Ran Wang, Qing-Hua Wang, Yang Chen, Xian Chen, Ying Li, Yuan Cen, Cheng Xu, Tian Hu, Xu-Dong Liu and 9 more

Open access · goldAbstract read
In one paragraph

Article in Molecular neurodegeneration, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 86 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
86citing papers in PubMed, 8 pooled it
15.5field-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

86 citing papers in PubMed, 8 syntheses or guidelines pooled it, 170 citations in OpenAlex.

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  4. Neurocognitive Impairment in Long COVID: A Systematic Review.Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists · 2025
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26 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors at 2 institutions in 1 country.

Yu-Hui Liu *Department of Neurology and Centre for Clinical Neuroscience, Daping Hospital, Third Military Medical University, Chongqing, China.
Ye-Ran Wang *Department of Neurology and Centre for Clinical Neuroscience, Daping Hospital, Third Military Medical University, Chongqing, China.
Qing-Hua Wang *Department of Neurology and Centre for Clinical Neuroscience, Daping Hospital, Third Military Medical University, Chongqing, China.
Yang ChenDepartment of Neurology and Centre for Clinical Neuroscience, Daping Hospital, Third Military Medical University, Chongqing, China.
Xian ChenDepartment of Anaesthesiology, Daping Hospital, Third Military Medical University, Chongqing, China.
Ying LiDepartment of Ophthalmology, Daping Hospital, Third Military Medical University, Chongqing, China.
Yuan CenDepartment of Orthopedics, Daping Hospital, Third Military Medical University, Chongqing, China.
Cheng XuDepartment of Oncology, General Hospital of the Central Theatre Command of the People's Liberation Army, Wuhan, China.
Tian HuDepartment of Anaesthesiology, Daping Hospital, Third Military Medical University, Chongqing, China.
Xu-Dong LiuDepartment of Anaesthesiology, Daping Hospital, Third Military Medical University, Chongqing, China.
Ling-Li YangDepartment of Orthopedics, Daping Hospital, Third Military Medical University, Chongqing, China.
Si-Jing LiDepartment of Orthopedics, Daping Hospital, Third Military Medical University, Chongqing, China.
Xue-Fei LiuDepartment of Ophthalmology, Daping Hospital, Third Military Medical University, Chongqing, China.
Chun-Mei LiuDepartment of Ophthalmology, Daping Hospital, Third Military Medical University, Chongqing, China.
Jie ZhuDepartment of Neurology and Centre for Clinical Neuroscience, Daping Hospital, Third Military Medical University, Chongqing, China.
Wei LiDepartment of Neurology and Centre for Clinical Neuroscience, Daping Hospital, Third Military Medical University, Chongqing, China.
Li-Li ZhangDepartment of Neurology and Centre for Clinical Neuroscience, Daping Hospital, Third Military Medical University, Chongqing, China.
Juan LiuDepartment of Neurology and Centre for Clinical Neuroscience, Daping Hospital, Third Military Medical University, Chongqing, China. liujuan961@163.com.
Yan-Jiang WangDepartment of Neurology and Centre for Clinical Neuroscience, Daping Hospital, Third Military Medical University, Chongqing, China. yanjiang_wang@tmmu.edu.cn.ORCID http://orcid.org/0000-0002-6227-6112
Army Medical University · CNCentral Hospital of Wuhan · CN

Funding

National Natural Science Foundation of China 81930028National Natural Science Foundation of China 81971024
6 · The paper itself

Abstract

backgroundUnderstanding the long-term effects of coronavirus disease 2019 (COVID-19) on cognitive function is essential for monitoring the cognitive decline in the elderly population. This study aims to assess the current cognitive status and the longitudinal cognitive decline in elderly patients recovered from COVID-19.

methodsThis cross-sectional study recruited 1539 COVID-19 inpatients aged over 60 years who were discharged from three COVID-19-designated hospitals in Wuhan, China, from February 10 to April 10, 2020. In total, 466 uninfected spouses of COVID-19 patients were selected as controls. The current cognitive status was assessed using a Chinese version of the Telephone Interview of Cognitive Status-40 (TICS-40) and the longitudinal cognitive decline was assessed using an Informant Questionnaire on Cognitive Decline in the Elderly (IQCODE). Cognitive assessments were performed 6 months after patient discharge.

resultsCompared with controls, COVID-19 patients had lower TICS-40 scores and higher IQCODE scores [TICS-40 median (IQR): 29 (25 to 32) vs. 30 (26 to 33), p < 0.001; IQCODE median (IQR): 3.19 (3.00 to 3.63) vs. 3.06 (3.00 to 3.38), p < 0.001]. Severe COVID-19 patients had lower TICS-40 scores and higher IQCODE scores than non-severe COVID-19 patients [TICS-40 median (IQR): 24 (18 to 28) vs. 30 (26 to 33), p < 0.001; IQCODE median (IQR): 3.63 (3.13 to 4.31) vs. 3.13 (3.00 to 3.56), p < 0.001] and controls [TICS-40 median (IQR): 24 (18 to 28) vs. 30 (26 to 33), p < 0.001; IQCODE median (IQR) 3.63 (3.13 to 4.31) vs. 3.06 (3.00 to 3.38), p < 0.001]. Severe COVID-19 patients had a higher proportion of cases with current cognitive impairment and longitudinal cognitive decline than non-severe COVID-19 patients [dementia: 25 (10.50 %) vs. 9 (0.69 %), p < 0.001; Mild cognitive impairment (MCI): 60 (25.21 %) vs. 63 (4.84 %), p < 0.001] and controls [dementia: 25 (10.50 %) vs. 0 (0 %), p < 0.001; MCI: 60 (25.21 %) vs. 20 (4.29 %), p < 0.001)]. COVID-19 severity, delirium and COPD were risk factors of current cognitive impairment. Low education level, severe COVID-19, delirium, hypertension and COPD were risk factors of longitudinal cognitive decline.

conclusionsSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection is associated with an increased risk of long-term cognitive decline in elderly population. COVID-19 patients, especially severe patients, should be intensively monitored for post-infection cognitive decline.

Indexed as

AgedAged, 80 and overChinaCognitive DysfunctionCOVID-19Cross-Sectional StudiesFemaleHumansMaleMiddle AgedPost-Acute COVID-19 SyndromeSARS-CoV-2Cognitive impairmentCoronavirusCOVID-19Post infection

Identifiers

PMID34281568
PMCPMC8287105
OpenAlexW3186867824

What OpenQuestion holds

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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.