Evidence map›Paper›PMID 37823704›Full record

ArticleEuropean journal of neurology2024

Predictors of respiratory failure in Guillain-Barré syndrome: a 22 year cohort study from a single Italian centre.

Giuliana Galassi, Marco Mazzoli, Alessandra Ariatti, Roberta Bedin, Donato Marzullo, Elisabetta Bastia, Virginia Agnoletto, Manuela Gozzi, Franco Valzania, Stefano Meletti and 1 more

Open access · hybridAbstract read
In one paragraph

Article in European journal of neurology, 2024. 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. Prognostic value of modified Erasmus Guillaiun Barre' syndrome outcome score (mEGOS) in an Italian cohort of patients: Challenges, insights and limitations.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
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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

11 authors at 4 institutions in 2 countries.

Giuliana GalassiDepartment of Biomedical, Metabolic and Neural Sciences, University Hospitals, Modena, Italy.ORCID 0000-0002-8775-0415
Marco MazzoliDepartment of Biomedical, Metabolic and Neural Sciences, University Hospitals, Modena, Italy.
Alessandra AriattiDepartment of Biomedical, Metabolic and Neural Sciences, University Hospitals, Modena, Italy.
Roberta BedinDepartment of Biomedical, Metabolic and Neural Sciences, University Hospitals, Modena, Italy.
Donato MarzulloDepartment of Biomedical, Metabolic and Neural Sciences, University Hospitals, Modena, Italy.
Elisabetta BastiaDivision of Cardiology, Baggiovara Hospital, Modena, Italy.
Virginia AgnolettoDivision of Cardiology, Baggiovara Hospital, Modena, Italy.
Manuela GozziDepartment of Imaging, University Hospitals of Modena, Modena, Italy.
Franco ValzaniaNeurology Unit, Neuromotor and Rehabilitation Department, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy.
Stefano MelettiDepartment of Biomedical, Metabolic and Neural Sciences, University Hospitals, Modena, Italy.ORCID 0000-0003-0334-539X
Alessandro MarchioniRespiratory Disease Unit, Department of Medical and Surgical Sciences, University Hospitals of Modena, Modena, Italy.
Azienda Unita' Sanitaria Locale Di Modena · ITNational Operating Committee on Standards for Athletic Equipment · USUniversity of Modena and Reggio Emilia · ITAzienda Sanitaria Unità Locale di Reggio Emilia · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeThe study aimed to identify predictors of respiratory failure leading to mechanical ventilation (MV) and tracheostomy in Guillain-Barré syndrome (GBS).

methodsTwo hundred and thirty adult cases admitted to the Neurology Unit of Modena, Italy, between January 2000 and December 2021 were studied. A cut-off of MV starting within 8 weeks from onset of weakness was used. Univariable, multivariable logistic and Cox regression analyses were used to determine which pre-specified clinical and diagnostic characteristics were capable of predicting MV and tracheostomy, due to weaning failure. The model was internally validated within the full cohort. The Erasmus GBS Respiratory Insufficiency Score was retrospectively applied.

resultsOne hundred and seventy-six cases (76.5%) were classified as classical sensorimotor GBS and 54 (23.4%) as variants. Thirty-two patients (13.9%) needed MV: 84.3% required respiratory support within 7 days. Independent predictors of respiratory failure and MV were older age, facial, bulbar, neck flexor weakness, dysautonomia, axonal electrophysiological subtype, cardiovascular comorbidities and higher disability score at entry. There was no association with abnormal spinal fluid parameters nor with positive serology for recent infections. Twenty-two patients (68.7%) were ventilated for more than 7 days; 4.7% died within 8 weeks. The patients who required MV were treated more often with plasma exchange. Independent predictors of tracheostomy due to weaning trial failure were facial, bulbar, neck flexor weakness, autonomic dysfunction, associated cardiovascular morbidities and axonal electrophysiological subtype on nerve conduction study.

conclusionsOur study indicates distinct predictors of MV and tracheostomy in GBS patients.

Indexed as

Guillain-Barre SyndromeRespiratory InsufficiencyAdultCohort StudiesHumansMuscle WeaknessRespiration, ArtificialRetrospective StudiesGuillain−Barré syndromeinternal calibrationmechanical ventilationrespiratory failuretracheostomy

Identifiers

PMID37823704
PMCPMC11235807
OpenAlexW4387563357

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.