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Record W4399480087 · doi:10.1212/nxi.0000000000200272

Advancing Knowledge in CNS Vasculitis

2024· editorial· en· W4399480087 on OpenAlexaff
Christian Pagnoux, Hubert de Boysson

Bibliographic record

VenueNeurology Neuroimmunology & Neuroinflammation · 2024
Typeeditorial
Languageen
FieldMedicine
TopicVasculitis and related conditions
Canadian institutionsMount Sinai Hospital
FundersF. Hoffmann-La RocheAmicus TherapeuticsTeva Pharmaceutical IndustriesSanofiAstraZenecaChugai PharmaceuticalAmgenPfizerGlaxoSmithKline
KeywordsVasculitisNeuroscienceMedicinePsychologyPathologyDisease

Abstract

fetched live from OpenAlex

Only a few well-described cohorts of patients with primary CNS vasculitis (PCNSV; sometimes called primary angiitis of the CNS [PACNS]) have been published with enough follow-up to be able to really assess global and neurologic outcomes.1,2 There is still no definitive clinical tool or biomarker to confirm the diagnosis of PCNSV.The commonly used 1988 diagnostic criteria from Calabrese and Malek, slightly modified in 2009 by Birnbaum and Hellmann, have not been thoroughly validated, but made sense and matched clinical practice and diagnostic reasoning.3 A brain and/or leptomeningeal biopsy is the only way to definitively confirm CNS vasculitis, but a plethora of more frequent mimickers and causes for secondary CNS vasculitis have still to be ruled out, especially in patients with a diagnosis based on angiographic abnormalities and/or without obvious inflammatory CNS features on CSF analysis, gadolinium-enhancing lesions, or vessel wall enhancement on MRI. 3 A follow-up helps support the diagnosis, but possibly in the future, a minority of patients in these cohorts will be found to have a new genetic or infectioustriggered CNS condition.The list of PCNSV mimickers and secondary CNS vasculitis has been increasing steadily, with the identification of new genetically determined vasculopathies, such as deficiency in adenosine deaminase 2, and more sensitive tools, such as metagenomic nextgeneration sequencing, to detect rare CNS infections. 4 Hence, in real-world practice, as in the main published cohorts of PCNSV, only 30%-50% of reported patients had a brain biopsy, and only 50%-65% of the latter had biopsy-proven CNS vasculitis.1,2 Additional information on the main subsets of PCNSV that have been described is also needed to better determine their respective outcomes and, in clinical practice, how best to treat them.In this issue of Neurology ® Neuroimmunology & Neuroinflammation, Paramasivan et al. 5 report an update of one of the few large and well-described cohorts of PCNSV, which now includes 72 adults with PCNSV confirmed either on biopsy (30.5% of the patients; 44 had a biopsy, half of them showing vasculitis) or on angiography and in whom mimicking or secondary processes of CNS vasculitis were excluded as thoroughly as possible.As in most previous cohorts, patients were divided into 2 subgroups: those with medium/large vessel or with small vessel PCNSV.Major findings were younger age at onset, delay in diagnosis and therapy, greater relapse risk, and poorer outcomes at 1 year in the small vessel PCNSV group vs more strokes and more frequent wall imaging abnormalities (as per the definition of this subgroup, somehow) in the medium/large vessel group.Eventually, 69.8% of the patients had a good outcome at 1 year, and relapse occurred in 49% with a median follow-up of approximately 2 years (68% of the patients had at least 1 year of follow-up).Intriguingly, the choice of treatments was not associated with outcomes or relapses.This latter finding seems difficult to reconcile with the overall principles that patients with PCNSV should receive aggressive treatment, as was in fact done in this cohort and, ultimately, recommended by the authors.The authors indeed acknowledge a possible indication bias, not specific or unique to this cohort: "the small vessel vasculitis group… received maintenance therapies which, if not given, could have resulted in further relapses and increased disability."Their standard treatment policies for patients with aggressive presentation have been established and rely on induction with glucocorticoids and cyclophosphamide, then maintenance with glucocorticoids, and a corticosteroid-sparing agent, at least to minimize the adverse effects of long-term glucocorticoid exposure.Whether the strongest maintenance From the Vasculitis Clinic (C.P.)

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)0.009
metaresearch head score (Gemma)0.035
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.016
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.035
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0060.003
Science and technology studies0.0010.004
Scholarly communication0.0050.009
Open science0.0020.004
Research integrity0.0060.008
Insufficient payload (model declined to judge)0.0160.004

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 head0.006
GPT teacher head0.261
Teacher spread0.255 · 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 designNot applicable
Domainnot available
GenreEditorial

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".

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Citations0
Published2024
Admission routes1
Has abstractyes

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