Evidence map›Paper›PMID 32749601›Full record

ArticleJournal of neurology2021

Neurological comorbidity and severity of COVID-19.

Alberto Romagnolo, Roberta Balestrino, Gabriele Imbalzano, Giovannino Ciccone, Franco Riccardini, Carlo Alberto Artusi, Marco Bozzali, Bruno Ferrero, Elisa Montalenti, Elisa Montanaro and 4 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of neurology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 5 pooled it
4.8field-weighted citation impact, top 4% 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

35 citing papers in PubMed, 5 syntheses or guidelines pooled it, 62 citations in OpenAlex.

  1. Pooled it
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  5. COVID-19 and Parkinson's Disease: What Do We Know So Far?Journal of Parkinson's disease · 2021
    Pooled it
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Mesenchymal Stem Cells in the Treatment of COVID-19.International journal of molecular sciences · 2023
    Review
  12. Article
  13. Article
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  15. Article
  16. 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

14 authors at 3 institutions in 2 countries.

Alberto RomagnoloDepartment of Neuroscience "Rita Levi Montalcini", University of Turin, Via Cherasco 15, 10126, Turin, Italy.
Roberta BalestrinoDepartment of Neuroscience "Rita Levi Montalcini", University of Turin, Via Cherasco 15, 10126, Turin, Italy.
Gabriele ImbalzanoDepartment of Neuroscience "Rita Levi Montalcini", University of Turin, Via Cherasco 15, 10126, Turin, Italy.
Giovannino CicconeSection of Clinical Epidemiology, Center for Epidemiology and Oncologic Prevention (CPO Piemonte), Città della Salute e della Scienza, Turin, Italy.
Franco RiccardiniDepartment of Medical Sciences, Front Line P.S. P.O. Molinette, Città Della Salute e Della Scienza, Turin, Italy.
Carlo Alberto ArtusiDepartment of Neuroscience "Rita Levi Montalcini", University of Turin, Via Cherasco 15, 10126, Turin, Italy.
Marco BozzaliDepartment of Neuroscience "Rita Levi Montalcini", University of Turin, Via Cherasco 15, 10126, Turin, Italy.
Bruno FerreroDepartment of Neuroscience "Rita Levi Montalcini", University of Turin, Via Cherasco 15, 10126, Turin, Italy.
Elisa MontalentiDepartment of Neuroscience "Rita Levi Montalcini", University of Turin, Via Cherasco 15, 10126, Turin, Italy.
Elisa MontanaroDepartment of Neuroscience "Rita Levi Montalcini", University of Turin, Via Cherasco 15, 10126, Turin, Italy.
Mario Giorgio RizzoneDepartment of Neuroscience "Rita Levi Montalcini", University of Turin, Via Cherasco 15, 10126, Turin, Italy.
Giovanna VaulaDepartment of Neuroscience "Rita Levi Montalcini", University of Turin, Via Cherasco 15, 10126, Turin, Italy.
Maurizio ZibettiDepartment of Neuroscience "Rita Levi Montalcini", University of Turin, Via Cherasco 15, 10126, Turin, Italy.
Leonardo LopianoDepartment of Neuroscience "Rita Levi Montalcini", University of Turin, Via Cherasco 15, 10126, Turin, Italy. leonardo.lopiano@unito.it.
University of Turin · ITBrighton and Sussex Medical School · GBPiedmont Reference Center for Epidemiology and Cancer Prevention · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveNeurological symptoms of COVID-19 patients have been recently described. However, no comprehensive data have been reported on pre-existing neurological comorbidities and COVID-19. This study aims at evaluating the prevalence of neurological comorbidities, and their association with COVID-19 severity.

methodsWe evaluated all consecutive patients admitted to the Emergency Room (ER) of our hospital between the 3rd March and the 14th April 2020, and diagnosed with COVID-19. Data on neurological and non-neurological diseases were extracted, as well as data on demographic characteristics and on severity degree of COVID-19. The prevalence of neurological comorbidities was calculated, and multivariate binary logistic regression analyses were used to estimate the association between neurological diseases and COVID-19 severity.

resultsWe included 344 patients. Neurological comorbidities accounted for 22.4% of cases, with cerebrovascular diseases and cognitive impairment being the most frequent. Neurological comorbidity resulted independently associated with severe COVID-19 (OR 2.305; p = 0.012), as well as male gender (p = 0.001), older age (p = 0.001), neoplastic diseases (p = 0.039), and arterial hypertension (p = 0.045). When neurological comorbidity was associated with non-neurological comorbidities, the OR for severe COVID-19 rose to 7.394 (p = 0.005). Neurological patients, in particular cerebrovascular and cognitively impaired ones, received more respiratory support indication.

conclusionNeurological comorbidities represent a significant determinant of COVID-19 severity, deserving a thorough evaluation since the earliest phases of infection. The vulnerability of patients affected by neurological diseases should suggest a greater attention in targeting this population for proactive viral screening.

Indexed as

AdolescentAdultAgedAged, 80 and overAge FactorsCerebrovascular DisordersCognitive DysfunctionComorbidityCOVID-19Emergency Medical ServicesFemaleHospitalizationHumansHypertensionLogistic ModelsMaleCerebrovascular diseaseCOVID-19DementiaNeurologyStroke

Identifiers

PMID32749601
PMCPMC7400751
OpenAlexW3047568408

What OpenQuestion holds

Textmetadata
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.