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Record W4390942101 · doi:10.5334/ijic.icic23428

Social and Psychological Long-Term Consequences of NMDA Receptor Encephalitis (SAPIENCE) - from patients’ views to patient-centred care

2023· article· en· W4390942101 on OpenAlexaff
Donata Kurpas, Marta Duda-Sikuła, Carsten Finke, Josep Dalmau, Jérôme Honnorat, J. Heine, Álvaro Mendes, A. Fuchsia Howard

Bibliographic record

VenueInternational Journal of Integrated Care · 2023
Typearticle
Languageen
FieldMedicine
TopicAutoimmune Neurological Disorders and Treatments
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPsychosocialPopulationMedicineFocus groupDiseaseNeuropsychologyPsychologyClinical psychologyCognitionGerontologyPsychiatryFamily medicinePathology

Abstract

fetched live from OpenAlex

Background and target population: NMDA receptor encephalitis is a rare autoimmune disease with severe neurological and neuropsychiatric symptoms but typically a good functional neurological outcome. Nevertheless, most patients suffer long-term cognitive, psychological, and social impairments that have a significant impact on their well-being and occupational or educational activities-this is of particular concern given the young age of patients (median 21 years). However, because the disease was only recently discovered (2007), these psychosocial effects have not been systematically studied and the resulting impact on patients is not adequately appreciated. The SAPIENCE study is an international scientific project funded by the European Joint Program that aims to characterize the long-term cognitive and psychosocial consequences of this rare disease. The leader of the consortium is Prof. Carsten Finke, Charite Berlin. The Polish team, coordinated by Prof. Donata Kurpas, is responsible for the development of standard protocols, monitoring and training of staff in the study centers where the data are collected, and the corresponding qualitative data analysis. Study Design/Methods: Patients will be extensively studied at three European study sites in three consecutive project levels. Stage 1 includes in-depth on-site interviews and focus groups (n=30). Stage 2 develops a semi-structured short-form interview and includes on-site neuropsychological testing (n=150). Stage 3 includes an international online survey of patient-reported outcome measures (PROMs), patient-reported experience measures (PREMs), and disease progression information (n=300). Stages 1-3 will support each other in developing structured interviews, survey questions, and treatment guidelines. Results/Outcomes: At Level 1, we will identify themes and narratives that influence patients' quality of life and their experience of coping with the disease. At Level 2, we will identify neuropsychological outcomes in the largest cohort of NMDAR encephalitis patients in the world to date, including executive function, memory, and spatial navigation performance, which have been identified as key areas of impairment. At Level 3, we will examine subjective outcomes and individual predictors of post-acute disease progression. Based on Stages 1-3, we will develop international consensus guidelines for post-acute care of NMDARE patients. Impact: This project is the first to bridge the gap between standardized assessment and individual patient experience in the long-term follow-up of patients with autoimmune encephalitis. By incorporating the patient perspective into medical decision-making, current and future NMDAR encephalitis patients will benefit from the implementation of the diagnostic and treatment guidelines developed in this project for patient-centered post-acut

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.049
GPT teacher head0.339
Teacher spread0.290 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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