Evidence map›Paper›PMID 35717880›Full record

ArticleJournal of the neurological sciences2022

Neurological long-COVID in the outpatient clinic: Two subtypes, two courses.

Stefano Giuseppe Grisanti, Sara Garbarino, Emanuela Barisione, Teresita Aloè, Marco Grosso, Cristina Schenone, Matteo Pardini, Erica Biassoni, Federico Zaottini, Riccardo Picasso and 12 more

Open access · greenAbstract read
In one paragraph

Article in Journal of the neurological sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
3.1field-weighted citation impact, top 7% 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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 25 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

22 authors at 2 institutions in 1 country.

Stefano Giuseppe GrisantiDepartment of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genova, Genova, Italy.
Sara GarbarinoMIDA, Dipartimento di Matematica Università di Genova, Genova, Italy.
Emanuela BarisioneIRCCS, Ospedale Policlinico San Martino, Genova, Italy.
Teresita AloèIRCCS, Ospedale Policlinico San Martino, Genova, Italy.
Marco GrossoIRCCS, Ospedale Policlinico San Martino, Genova, Italy.
Cristina SchenoneDepartment of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genova, Genova, Italy.
Matteo PardiniDepartment of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genova, Genova, Italy; IRCCS, Ospedale Policlinico San Martino, Genova, Italy.
Erica BiassoniDepartment of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genova, Genova, Italy.
Federico ZaottiniIRCCS, Ospedale Policlinico San Martino, Genova, Italy.
Riccardo PicassoIRCCS, Ospedale Policlinico San Martino, Genova, Italy.
Silvia MorbelliIRCCS, Ospedale Policlinico San Martino, Genova, Italy.
Cristina CampiMIDA, Dipartimento di Matematica Università di Genova, Genova, Italy; LISCOMP, IRCCS Ospedale Policlinico San Martino, Genova, Italy.
Giampaola PesceIRCCS, Ospedale Policlinico San Martino, Genova, Italy.
Federico MassaDepartment of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genova, Genova, Italy.
Nicola GirtlerDepartment of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genova, Genova, Italy; IRCCS, Ospedale Policlinico San Martino, Genova, Italy.
Denise BattagliniAnesthesia and Intensive Care, IRCCS, Ospedale Policlinico San Martino, Genova, Italy.
Corrado CabonaIRCCS, Ospedale Policlinico San Martino, Genova, Italy.
Matteo BassettiIRCCS, Ospedale Policlinico San Martino, Genova, Italy.
Antonio UccelliDepartment of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genova, Genova, Italy; IRCCS, Ospedale Policlinico San Martino, Genova, Italy.
Angelo SchenoneDepartment of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genova, Genova, Italy; IRCCS, Ospedale Policlinico San Martino, Genova, Italy.
Michele PianaMIDA, Dipartimento di Matematica Università di Genova, Genova, Italy; LISCOMP, IRCCS Ospedale Policlinico San Martino, Genova, Italy.
Luana BenedettiIRCCS, Ospedale Policlinico San Martino, Genova, Italy. Electronic address: luanabenedetti@libero.it.
Ospedale Policlinico San Martino · ITUniversity of Genoa · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionSymptoms referable to central and peripheral nervous system involvement are often evident both during the acute phase of COVID-19 infection and during long-COVID. In this study, we evaluated a population of patients with prior COVID-19 infection who showed signs and symptoms consistent with neurological long-COVID.

methodsWe prospectively collected demographic and acute phase course data from patients with prior COVID-19 infection who showed symptoms related to neurological involvement in the long-COVID phase. Firstly, we performed a multivariate logistic linear regression analysis to investigate the impact of demographic and clinical data, the severity of the acute COVID-19 infection and hospitalization course, on the post-COVID neurological symptoms at three months follow-up. Secondly, we performed an unsupervised clustering analysis to investigate whether there was evidence of different subtypes of neurological long COVID-19.

resultsOne hundred and nine patients referred to the neurological post-COVID outpatient clinic. Clustering analysis on the most common neurological symptoms returned two well-separated and well-balanced clusters: long-COVID type 1 contains the subjects with memory disturbances, psychological impairment, headache, anosmia and ageusia, while long-COVID type 2 contains all the subjects with reported symptoms related to PNS involvement. The analysis of potential risk-factors among the demographic, clinical presentation, COVID 19 severity and hospitalization course variables showed that the number of comorbidities at onset, the BMI, the number of COVID-19 symptoms, the number of non-neurological complications and a more severe course of the acute infection were all, on average, higher for the cluster of subjects with reported symptoms related to PNS involvement.

conclusionWe analyzed the characteristics of neurological long-COVID and presented a method to identify well-defined patient groups with distinct symptoms and risk factors. The proposed method could potentially enable treatment deployment by identifying the optimal interventions and services for well-defined patient groups, so alleviating long-COVID and easing recovery.

Indexed as

AgeusiaCOVID-19Ambulatory Care FacilitiesHumansPost-Acute COVID-19 SyndromeSARS-CoV-2Long-COVIDPost-COVID neurological symptoms

Identifiers

PMID35717880
PMCPMC9212262
OpenAlexW4281671001

What OpenQuestion holds

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Registered trials

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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.