Evidence map›Paper›PMID 41217518›Full record

ArticleJournal of neurology2025

Development of anti-LGI1 autoimmune encephalitis outcome rating score using the Rasch analysis.

Xiaoyang Li, Pranjal Gupta, Naveen K Paramasivan, Eoin P Flanagan, Jeffrey Britton, Anastasia Zekeridou, A Sebastian Lopez-Chiriboga, Gregory S Day, Cristina Valencia Sanchez, Michael R Basso and 4 more

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Article in Journal of neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

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4 · The record

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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.

Xiaoyang LiDepartment of Neurology, Mayo Clinic, Rochester, MN, USA.
Pranjal GuptaDepartment of Neurology, Mayo Clinic, Rochester, MN, USA.
Naveen K ParamasivanDepartment of Neurology, Mayo Clinic, Rochester, MN, USA.
Eoin P FlanaganDepartment of Neurology, Mayo Clinic, Rochester, MN, USA.
Jeffrey BrittonDepartment of Neurology, Mayo Clinic, Rochester, MN, USA.
Anastasia ZekeridouDepartment of Neurology, Mayo Clinic, Rochester, MN, USA.
A Sebastian Lopez-ChiribogaDepartment of Neurology, Mayo Clinic, Jacksonville, FL, USA.
Gregory S DayDepartment of Neurology, Mayo Clinic, Jacksonville, FL, USA.
Cristina Valencia SanchezDepartment of Neurology, Mayo Clinic, Scottsdale, AZ, USA.
Michael R BassoDepartment of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA.
Andrew McKeonDepartment of Neurology, Mayo Clinic, Rochester, MN, USA.
Sean J PittockDepartment of Neurology, Mayo Clinic, Rochester, MN, USA.
Reza Sadjadi *Department of Neurology, Massachusetts General Hospital, Boston, MA, USA.
Divyanshu Dubey *Department of Neurology, Mayo Clinic, Rochester, MN, USA. Dubey.Divyanshu@mayo.edu.ORCID http://orcid.org/0000-0001-6865-9045

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAnti-LGI1 autoimmune encephalitis is an immunotherapy-responsive condition with growing interest in clinical trial development. However, the lack of reliable outcome measures is a major barrier. We aim to design a disease-specific outcome measure for anti-LGI1 autoimmune encephalitis.

methodsThe anti-LGI1 autoimmune encephalitis outcome rating (LOR) score was proposed through expert consensus and literature review. It was applied to a development cohort of 81 patients, followed by Rasch analysis to evaluate item-person targeting, reliability, and dimensionality. Adjustments were made to improve its psychometric performance. The finalized score was re-applied to the development cohort and validated in a separate cohort of 54 patients. Finally, the score was assessed in a longitudinal cohort of 53 patients for responsiveness.

resultsThe LOR score consists of 6 items: seizure type, seizure frequency, memory, orientation, behavioral disturbance, and gait, with a total score of 19. Compared to the CASE score, the LOR score can better capture patients across varying levels of severity, without major floor or ceiling effects. The scoring within each item proportionally reflected the item's difficulty. The score was relatively unidimensional. The reliability (0.63) and separation (1.34) indicated very small random errors. The inter-rater and intra-rater reliability (κ > 0.85) was excellent. In the longitudinal cohort, the changes in LOR score are significantly different among different clinical impression of change (IOC) categories (p < 0.01), indicating its ability to detect clinically meaningful changes. DISCUSSION: The LOR score is a psychometrically reliable, sensitive, responsive, and relatively unidimensional outcome measure, which may be used in clinical practice and trial settings.

Indexed as

AutoantibodiesEncephalitisHashimoto DiseaseIntracellular Signaling Peptides and ProteinsOutcome Assessment, Health CareSeverity of Illness IndexAdolescentAdultAgedCohort StudiesFemaleHumansLongitudinal StudiesMaleMiddle AgedPsychometricsAutoantibodiesIntracellular Signaling Peptides and ProteinsLGI1 protein, humanAnti-LGI1 autoimmune encephalitisAutoimmune epilepsyOutcome measuresOutcome rating scaleRasch analysis

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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.