Evidence map›Paper›PMID 41724827›Full record

ArticleScientific reports2026

A qualitative exploration of patient experiences living with autoimmune encephalitis.

Robb Wesselingh, Nabil Seery, Katherine Ko, Christina Kazzi, Tiffany Rushen, Tracie Tan, Michelle Mykytowycz, Amanda Wells, Daria Muir, Tabitha Orth and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 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

11 authors.

Robb WesselinghDepartment of Neurosciences, Faculty of Medicine, Nursing and Health Sciences, School of Translational Medicine, Monash University, 99 Commercial Road, Melbourne, 3004, Australia. robb.wesselingh@monash.edu.ORCID http://orcid.org/0000-0002-5898-3287
Nabil SeeryDepartment of Neurosciences, Faculty of Medicine, Nursing and Health Sciences, School of Translational Medicine, Monash University, 99 Commercial Road, Melbourne, 3004, Australia.
Katherine KoDepartment of Neurosciences, Faculty of Medicine, Nursing and Health Sciences, School of Translational Medicine, Monash University, 99 Commercial Road, Melbourne, 3004, Australia.
Christina KazziDepartment of Neurosciences, Faculty of Medicine, Nursing and Health Sciences, School of Translational Medicine, Monash University, 99 Commercial Road, Melbourne, 3004, Australia.
Tiffany RushenDepartment of Neurosciences, Faculty of Medicine, Nursing and Health Sciences, School of Translational Medicine, Monash University, 99 Commercial Road, Melbourne, 3004, Australia.
Tracie TanDepartment of Neurosciences, Faculty of Medicine, Nursing and Health Sciences, School of Translational Medicine, Monash University, 99 Commercial Road, Melbourne, 3004, Australia.
Michelle MykytowyczDepartment of Neurosciences, Faculty of Medicine, Nursing and Health Sciences, School of Translational Medicine, Monash University, 99 Commercial Road, Melbourne, 3004, Australia.
Amanda WellsDepartment of Neurosciences, Faculty of Medicine, Nursing and Health Sciences, School of Translational Medicine, Monash University, 99 Commercial Road, Melbourne, 3004, Australia.
Daria MuirDepartment of Neurosciences, Faculty of Medicine, Nursing and Health Sciences, School of Translational Medicine, Monash University, 99 Commercial Road, Melbourne, 3004, Australia.
Tabitha OrthDepartment of Neurosciences, Faculty of Medicine, Nursing and Health Sciences, School of Translational Medicine, Monash University, 99 Commercial Road, Melbourne, 3004, Australia.
Mastura MonifDepartment of Neurosciences, Faculty of Medicine, Nursing and Health Sciences, School of Translational Medicine, Monash University, 99 Commercial Road, Melbourne, 3004, Australia.

Funding

Department of Health and Aged Care, Australian Government APP2030667
6 · The paper itself

Abstract

Autoimmune encephalitis (AE) can result in significant long-term sequelae including cognitive dysfunction, leading to a reduction in quality of life. While cohort studies have highlighted these difficulties broadly, we require a deeper understanding of the challenges facing these individuals in their day-to-day lives to provide better care and support. This qualitative descriptive study aimed to accurately capture the experiences of people living with AE across Australia and understand potential gaps in medical care. Inductive qualitative content analysis identified four key categories that have influenced participants and their carers experiences living with AE: (1) Access to quality medical care and factors that led to delays in diagnosis and treatment, (2) Chronic symptoms and their impact on their day-to-day lives, (3) Re-integration into premorbid life, and (4) Carer burden. Appropriate timely diagnosis and treatment was influenced by variation in clinician knowledge and available resources. Disparities in availability of medical care were observed between rural, metropolitan, primary, and tertiary care providers. Cognitive dysfunction, fatigue, and treatment-resistant seizures were common chronic symptoms that drove poor quality-of-life, changes to pre-morbid roles and social isolation. Together, access to quality care, high burden of chronic symptoms and poor social and healthcare supports contributed to carer overburden.

Indexed as

Autoimmune Diseases of the Nervous SystemHealth Services AccessibilityAdultAgedAged, 80 and overAustraliaCaregiver BurdenChronic DiseaseHumansMiddle AgedQualitative ResearchYoung AdultAutoimmune encephalitisCarer burdenHealthcare accessPatient experiencesQuality of life

Identifiers

PMID41724827
PMCPMC13031324

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.