Evidence map›Paper›PMID 36321004›Full record

ReviewCureus2022

Long-Term Neurological Sequelae Among Severe COVID-19 Patients: A Systematic Review and Meta-Analysis.

Urvish K Patel, Neev Mehta, Amrapali Patel, Neel Patel, Juan Fernando Ortiz, Mahika Khurana, Eseosa Urhoghide, Akshada Parulekar, Arpita Bhriguvanshi, Nidhi Patel and 4 more

Abstract readReview
In one paragraph

Review in Cureus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 3 pooled it
–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

31 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  10. Long‑term physical and mental Health-Related Quality of Life in Italian patients post COVID-19 hospitalisation.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2025
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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

14 authors.

Urvish K PatelPublic Health and Neurology, Icahn School of Medicine at Mount Sinai, New York, USA.
Neev MehtaGastroenterology, Lahey Hospital and Medical Center, Burlington, USA.
Amrapali PatelSchool of Public Health, George Washington University, Washington D.C., USA.
Neel PatelPublic Health, Icahn School of Medicine at Mount Sinai, New York, USA.
Juan Fernando OrtizNeurology, Universidad San Francisco de Quito, Quito, ECU.
Mahika KhuranaPublic Health, University of California Berkeley, Berkeley, USA.
Eseosa UrhoghideInternal Medicine, Hudson Regional Hospital, Secaucus, USA.
Akshada ParulekarBiology, York University, Toronto, CAN.
Arpita BhriguvanshiChild Neurology, Jersey Shore University Medical Center, Neptune City, USA.
Nidhi PatelMedicine, Drexel University College of Medicine, Philadelphia, USA.
Anuja Mahesh MistryNeurology, California Institute of Behavioral Neurosciences & Psychology, Fairfield, USA.
Rutul PatelInternal Medicine, Texas Tech University Health Sciences Center El Paso, El Paso, USA.
Kogulavadanan ArumaithuraiNeurology, Mayo Clinic Health System, Austin, USA.
Shamik ShahNeurology, Stormont Vail Health, Topeka, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Few studies have thoroughly evaluated the neuro-invasive effect of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, which may contribute to a wide range of sequelae from mild long-term effects like headaches and fatigue to severe events like stroke and arrhythmias. Our study aimed to evaluate the long-term neurological effects of coronavirus disease 2019 (COVID-19) among patients discharged from the hospital. In this systematic review and meta-analysis, we assessed the long-term neurocognitive effects of COVID-19. Post-COVID-19 neurological sequelae were defined as persistent symptoms of headache, fatigue, myalgia, anosmia, dysgeusia, sleep disturbance, issues with concentration, post-traumatic stress disorder (PTSD), suicidality, and depression long after the acute phase of COVID-19. Data from observational studies describing post-COVID-19 neurocognitive sequelae and severity of COVID-19 from September 1, 2019, to the present were extracted following the Meta-analysis of Observational Studies in Epidemiology (MOOSE) guidelines and Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol with a consensus of three independent reviewers. A systematic review was performed for qualitative evaluation and a meta-analysis was performed for quantitative analysis by calculating log odds of COVID-19 neurocognitive sequelae. The odds ratio (OR) and 95% confidence interval (CI) were obtained and forest plots were created using random effects models.  We found seven studies, out of which three were used for quantitative synthesis of evidence. Of the 3,304 post-COVID-19 patients identified, 50.27% were male with a mean age of 56 years; 20.20% had post-COVID-19 symptoms more than two weeks after the acute phase of infection. Among persistence symptoms, neurocognitive symptoms like headache (27.8%), fatigue (26.7%), myalgia (23.14%), anosmia (22.8%), dysgeusia (12.1%), sleep disturbance (63.1%), confusion (32.6%), difficulty to concentrate (22%), and psychiatric symptoms like PTSD (31%), feeling depressed (20%), and suicidality (2%) had a higher prevalence. In meta-analysis, COVID-19 patients with severe symptoms had higher odds of headache (pooled OR: 4.53; 95% CI: 2.37-8.65; p<0.00001; I

Indexed as

covid-19covid-19 neuropsychiatric manifestationspost acute sequelae of sars cov-2 infection (pasc)post covid-19 persistent headache and fatiguesars-cov-2 and covid-19

Identifiers

PMID36321004
PMCPMC9616013

What OpenQuestion holds

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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.