Evidence map›Paper›PMID 40231756›Full record

ArticleEuropean journal of neurology2025

Robotic Thymectomy for Myasthenia Gravis: Analysis of the Surgical and Neurological Outcomes After a 20 Years' Experience.

Giovanni M Comacchio, Marco Schiavon, Luca Bello, Marco Mammana, Eleonora Faccioli, Elena Pegoraro, Giulia Lorenzoni, Giorgio Cannone, Giuseppe Cataldi, Giulia Pagliarini and 10 more

Abstract read
In one paragraph

Article in European journal of neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

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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

20 authors.

Giovanni M ComacchioThoracic Surgery Unit, University Hospital of Padua, Padua, Italy.ORCID 0000-0002-3166-1843
Marco SchiavonThoracic Surgery Unit, University Hospital of Padua, Padua, Italy.
Luca BelloDepartment of Neurosciences DNS, University of Padua, Padua, Italy.ORCID 0000-0002-3075-6525
Marco MammanaThoracic Surgery Unit, University Hospital of Padua, Padua, Italy.
Eleonora FaccioliThoracic Surgery Unit, University Hospital of Padua, Padua, Italy.
Elena PegoraroDepartment of Neurosciences DNS, University of Padua, Padua, Italy.
Giulia LorenzoniUnit of Biostatistics, Epidemiology and Public Health, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padua, Padua, Italy.
Giorgio CannoneThoracic Surgery Unit, University Hospital of Padua, Padua, Italy.
Giuseppe CataldiThoracic Surgery Unit, University Hospital of Padua, Padua, Italy.
Giulia PagliariniThoracic Surgery Unit, University Hospital of Padua, Padua, Italy.
Alessandro RebussoThoracic Surgery Unit, University Hospital of Padua, Padua, Italy.
Samuele NicotraThoracic Surgery Unit, University Hospital of Padua, Padua, Italy.
Dario GregoriUnit of Biostatistics, Epidemiology and Public Health, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padua, Padua, Italy.
Maria Carlotta MarinoThoracic Surgery Unit, University Hospital of Padua, Padua, Italy.
Giuliana CapeceDepartment of Neurosciences DNS, University of Padua, Padua, Italy.
Pietro RiguzziDepartment of Neurosciences DNS, University of Padua, Padua, Italy.
Federica PezzutoPathology Unit, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padua, Padua, Italy.
Fiorella CalabresePathology Unit, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padua, Padua, Italy.
Andrea Dell'AmoreThoracic Surgery Unit, University Hospital of Padua, Padua, Italy.
Federico ReaThoracic Surgery Unit, University Hospital of Padua, Padua, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEvidence supporting robotic thymectomy for myasthenia gravis is generally based on small sample-size studies, heterogeneous in patient selection and in reporting outcomes. Therefore, this study was conducted to assess the surgical and neurological outcomes of robotic thymectomy in myasthenic patients and to identify prognostic factors associated with symptoms' remission through a large cohort of patients operated in a 20 years' period.

methodsA retrospective analysis of a prospectively maintained database was conducted for all patients undergoing robotic thymectomy for myasthenia gravis between 2002 and 2022. Myasthenia Gravis Foundation of America (MGFA) recommendations were used to report the neurological outcomes. Complete remission and overall improvement were evaluated using Cumulative Incidence Functions, while the effect of preoperative variables on the probability of remission was estimated with Cox models.

resultsIn total, 267 patients underwent robotic thymectomy. Median operative time was 135 min and there were 7 (2.6%) open conversions. Clinical follow-up (median 83 months) showed a 5-year probability of complete remission of 18% and of overall improvement of 84%. Complete remission was negatively associated with age (HR 0.97, 95% CI 0.95-0.99, p = 0.001) and preoperative use of pyridostigmine (HR 0.34, 95% CI 0.15-0.81, p = 0.014), while severe MGFA class did not reach significance (HR 0.55, 95% CI 0.3-1.01, p = 0.052). Instead, there was a benefit in patients operated on in later years (HR 1.11, 95% CI 1.04-1.18, p = 0.01). COMMENT: Robotic thymectomy is a safe procedure. Long-term neurological follow-up demonstrated an improvement in most patients, also in subgroups that historically showed worse outcomes.

Indexed as

Myasthenia GravisRobotic Surgical ProceduresThymectomyAdolescentAdultAgedFemaleHumansMaleMiddle AgedRetrospective StudiesTreatment OutcomeYoung Adultmyasthenia gravisremissionsurgery

Identifiers

PMID40231756
PMCPMC11998024

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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.