Evidence map›Paper›PMID 41811514›Full record

ArticleJournal of neurology2026

Alternative diagnoses of suspected paraneoplastic neurological syndromes: a population-based study.

Alberto Vogrig, Francesco Bax, Gian Luigi Gigli, Andrea Bernardini, Alessandro Marini, Michele Rana, Paolo Passadore, Daniele Bagatto, Francesco Curcio, Sergio Muñiz-Castrillo and 3 more

Abstract read
In one paragraph

Article in Journal of neurology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Alberto Vogrig *Clinical Neurology, Department of Head-Neck and Neuroscience, Azienda Sanitaria Universitaria Friuli Centrale (ASUFC), Udine, Italy. alberto.vogrig@uniud.it.ORCID http://orcid.org/0000-0002-3652-7061
Francesco Bax *Clinical Neurology, Department of Head-Neck and Neuroscience, Azienda Sanitaria Universitaria Friuli Centrale (ASUFC), Udine, Italy.
Gian Luigi GigliDepartment of Medicine (DMED), University of Udine, Udine, Italy.
Andrea BernardiniClinical Neurology, Department of Head-Neck and Neuroscience, Azienda Sanitaria Universitaria Friuli Centrale (ASUFC), Udine, Italy.
Alessandro MariniNeurology Unit, Hospital of Gorizia, Azienda Sanitaria Universitaria Giuliano Isontina (ASUGI), Gorizia, Italy.
Michele RanaNeurology Unit, Hospital of Gorizia, Azienda Sanitaria Universitaria Giuliano Isontina (ASUGI), Gorizia, Italy.
Paolo PassadoreNeurology Unit, Ospedale Santa Maria Misericordia, Rovigo, Italy.
Daniele BagattoDepartment of Diagnostic Imaging, Unit of Neuroradiology, Azienda Sanitaria Universitaria Friuli Centrale (ASUFC), Udine, Italy.
Francesco CurcioDepartment of Medicine (DMED), University of Udine, Udine, Italy.
Sergio Muñiz-CastrilloNeurology Department, Hospital Universitario 12 de Octubre, Instituto de Investigación Sanitaria Hospital 12 de Octubre (Imas12), Madrid, Spain.
Jérôme HonnoratReference Centre for Paraneoplastic Neurological Syndromes and Autoimmune Encephalitis, Hospices Civils de Lyon, Neurological Hospital, Bron, France.
Martina Fabris *Department of Medicine (DMED), University of Udine, Udine, Italy.
Mariarosaria Valente *Clinical Neurology, Department of Head-Neck and Neuroscience, Azienda Sanitaria Universitaria Friuli Centrale (ASUFC), Udine, Italy.

Funding

Agence Nationale de la Recherche ANR-18-RHUS-0012Instituto de Salud Carlos III JR24/00008Ministero della Salute GR-2021-12375527
6 · The paper itself

Abstract

objectiveThe diagnosis of paraneoplastic neurologic syndromes (PNS) requires exclusion of alternative etiologies. However, the spectrum of alternative diagnoses encountered during PNS workup ("better explanations") has not been systematically examined. We aimed to characterize this spectrum.

methodsRetrospective population-based study in Friuli-Venezia-Giulia (Italy). Among 878 consecutive patients tested for PNS antibodies at a centralized tertiary center serving three hospitals (2009-2017), alternative diagnoses were identified. Results of a logistic regression model were used to develop the PNS DDx Score.

resultsAmong 661 patients with alternative diagnoses, median age was 66 years, and 51% were male. CNS involvement predominated in 397 patients (60%), peripheral in 215 (33%), and extra-nervous system in 49 (7%). Etiologic diagnosis was reached in 269 with central involvement, including degenerative (97, 36%), autoimmune (47, 17%), and vascular (37, 14%). In peripheral presentations, a diagnosis was reached in 112 and included autoimmune (51, 45%), toxic-metabolic (40, 36%), and vasculitis (11, 10%). PNS antibody testing increased by 96% from 2009 to 2017; diagnostic yield remained low (7% vs. 8%). Intermediate-risk or other syndromes (OR 7.97, CI95% 3.07-23.80; OR 192.82 CI95%, 66.11-739.59) and low-risk/absence of tumor (OR 6.90, CI95% 2.75-18.92) were associated with alternative diagnoses, whereas increasing age (OR 0.95, CI95% 0.92-0.97) was inversely associated. These variables (age, syndrome, and tumor type) were incorporated in the PNS DDx Score.

conclusionAlternative diagnoses during PNS workup are common in patients < 55 years and those without high-risk syndromes. The PNS DDx Score can be used to identify patients at risk of misdiagnosis.

Indexed as

Paraneoplastic Syndromes, Nervous SystemAdultAgedAged, 80 and overAutoantibodiesDiagnosis, DifferentialFemaleHumansItalyMaleMiddle AgedRetrospective StudiesAutoantibodiesAutoimmune encephalitisLimbic encephalitisMimicsMisdiagnosisParaneoplastic neurologic syndromes

Identifiers

PMID41811514
PMCPMC12979337

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.