Evidence map›Paper›PMID 37948972›Full record

ReviewJournal of the neurological sciences2023

Pre-existing neurological conditions and COVID-19 co-infection: Data from systematic reviews, meta-analyses, and scoping reviews.

Abhilasha P Boruah, Kiran T Thakur, Sachin P Gadani, Kavita U Kothari, Mashina Chomba, Alla Guekht, Kimia Heydari, Fan Kee Hoo, Soonmyung Hwang, Benedict D Michael and 9 more

Open access · bronzeAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Journal of the neurological sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.9field-weighted citation impact, top 8% 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

8 citing papers in PubMed, 14 citations in OpenAlex.

  1. Observational
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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

19 authors at 13 institutions in 9 countries.

Abhilasha P BoruahCase Western Reserve University School of Medicine, OH, USA.
Kiran T ThakurDepartment of Neurology, Columbia University Irving Medical Center-New York Presbyterian Hospital, New York, USA.
Sachin P GadaniJohns Hopkins Department of Neurology, Baltimore, USA.
Kavita U KothariConsultant to Library & Digital Information Networks, World Health Organization, Geneva, Switzerland.
Mashina ChombaUniversity of Zambia, Lusaka, Zambia.
Alla GuekhtMoscow Research and Clinical Center for Neuropsychiatry, Moscow, Russia; Pirogov Russian Medical Research University, Moscow, Russia.
Kimia HeydariColumbia University, New York, USA.
Fan Kee HooFaculty of Medicine and Health Sciences, University Putra Malaysia, Kuala Lumpur, Malaysia.
Soonmyung HwangIcahn School of Medicine at Mount Sinai, New York, USA.
Benedict D MichaelInstitute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Department of Neurology, Walton Centre NHS Foundation Trust, NIHR Health Protection Research Unit for Emerging and Zoonotic Infection, Liverpool, UK.
Maya V PanditNew York Medical College, Valhalla, USA.
Carlos A PardoJohns Hopkins Department of Neurology, Baltimore, USA.
Kameshwar PrasadDepartment of Neurology Fortis Flt Lt, Rajan Dhall Hospital, Vasant Kunj, New Delhi, India.
Zomer SardarColumbia University Irving Medical Center, New York, NY, USA.
Katrin SeeherBrain Health Unit, World Health Organization, Geneva, Switzerland.
Tom SolomonThe Pandemic Institute, The Spine, Liverpool L7 3FA, UK; National Institute for Health and Care Research Health Protection Research Unit in Emerging and Zoonotic Infections, University of Liverpool, Liverpool L69 7BE, UK; Institute of Infection, Veterinary & Ecological Sciences, University of Liverpool, Liverpool L69 7BE, UK; Walton Centre NHS Foundation Trust, Liverpool L9 7LJ, UK.
Andrea S WinklerDepartment of Neurology, Center for Global Health, Technical University of Munich, Munich, Germany; Department of Community Medicine and Global Health, Institute of Health and Society, University of Oslo, Oslo, Norway.
Greta K WoodDepartment of Clinical Infection, Microbiology & Immunology, Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, UK.
Nicoline SchiessBrain Health Unit, World Health Organization, Geneva, Switzerland. Electronic address: schiessn@who.int.
University of Liverpool · GBWorld Health Organization · CHCase Western Reserve University · USColumbia University · USColumbia University Irving Medical Center · USFortis Flt. Lt. Rajan Dhall Hospital · INIcahn School of Medicine at Mount Sinai · USNew York Medical College · USNewYork–Presbyterian Hospital · USPirogov Russian National Research Medical University · RUUniversiti Putra Malaysia · MYUniversity of Oslo · NOUniversity of Zambia · ZM

Funding

World Health Organization 001
6 · The paper itself

Abstract

backgroundPre-existing neurological diseases have been identified as risk factors for severe COVID-19 infection and death. There is a lack of comprehensive literature review assessing the relationship between pre-existing neurological conditions and COVID-19 outcomes. Identification of high risk groups is critical for optimal treatment and care.

methodsA literature review was conducted for systematic reviews, meta-analyses, and scoping reviews published between January 1, 2020 and January 1, 2023. Literature assessing individuals with pre-existing neurological diseases and COVID-19 infection was included. Information regarding infection severity was extracted, and potential limitations were identified.

resultsThirty-nine articles met inclusion criteria, with data assessing >3 million patients from 51 countries. 26/51 (50.9%) of countries analyzed were classified as high income, while the remaining represented middle-low income countries (25/51; 49.0%). A majority of evidence focused on the impact of cerebrovascular disease (17/39; 43.5%) and dementia (5/39; 12.8%) on COVID-19 severity and mortality. 92.3% of the articles (36/39) suggested a significant association between neurological conditions and increased risk of severe COVID-19 and mortality. Cerebrovascular disease, dementia, Parkinson's disease, and epilepsy were associated with increased COVID severity and mortality.

conclusionPre-existing neurological diseases including cerebrovascular disease, Alzheimer's disease and other dementias, epilepsy, and Parkinson's disease are significant risk factors for severity of COVID-19 infection and mortality in the acute infectious period. Given that 61.5% (24/39) of the current evidence only includes data from 2020, further updated literature is crucial to identify the relationship between chronic neurological conditions and clinical characteristics of COVID-19 variants.

Indexed as

Cerebrovascular DisordersCoinfectionCOVID-19DementiaEpilepsyParkinson DiseaseHumansSARS-CoV-2Scoping Reviews as TopicSystematic Reviews as TopicCerebrovascular diseaseCOVID-19DementiaMultiple sclerosisNeurological conditionsparkinson's diseaseSARS-CoV-2

Identifiers

PMID37948972
PMCPMC10751535
OpenAlexW4388011585

What OpenQuestion 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 OpenQuestion graph.