The INTERnational Study on Primary Angiitis of the CEntral Nervous System – A Call to the World
Bibliographic record
Abstract
Treatment of Primary Angiitis of the CNS (PACNS) is a challenge aiming at minimizing the risk of treatment failure and recurrent vasculitis while avoiding adverse effects of immunosuppressive agents. Identification of markers of outcome may help tailor immunosuppressive therapy. We designed an observational, prospective, multicenter, cohort study, the INTERnational Study of Primary Angiitis of the CEntral nervous system (INTERSPACE), whose primary objective is to identify predictors of death and dependence (modified Rankin Scale: 3–6) at the end of clinical followup (≥one-year following recruitment). Patients aged ≥16 with PACNS confirmed by central nervous system biopsy or autopsy or with a presumptive diagnosis (biopsy not performed or results inconclusive) are eligible. Patients in whom immunosuppressive therapy was initiated before obtaining brain magnetic resonance imaging (MRI) (and spinal cord MRI if relevant) or >180 days prior to study enrolment are excluded. Study patients should be managed according to the site investigator’s usual approach to PACNS. Electronic case report forms are used to collect patient data at baseline, upon neurological deterioration, and at prespecified follow-up visits. Blind analysis of all neuroimaging and histopathology specimens is centralized in study core labs. PACNS diagnosis and reports of neurological decline due to treatment failure or recurrent vasculitis are adjudicated. Assuming death or dependence in 30% of 200 PACNS adjudicated patients, six predictors may be integrated in a multivariate model. INTERSPACE offers the opportunity to improve our understanding of PACNS, its management, and its prognosis. Because PACNS is rare, the collective effort of many centers is required. The prospect of recruiting only one or a few patients to INTERSPACE must not hinder participation of potential study centers. Each patient recruited is a major contribution. To this end, an invitation is sent to the world: to join INTERSPACE, study investigators are invited to contact the Coordination Centre at sylanthier@gmail.com.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".