Development of Chronic Black Holes (CBH) Predicts Long Term Disability: Post-hoc Analysis of Magnetic Resonance Imaging (MRI) Data in the PRISMS Study (P7.251)
Bibliographic record
Abstract
OBJECTIVE:Assess predictive value of CBH on long-term clinical outcomes in terms of disability in patients with relapsing-remitting multiple sclerosis (MS). BACKGROUND:CBH indicate irreversible axonal loss in MS, and may be associated with long-term disability progression. DESIGN/METHODS:Patients in PRISMS were randomized to IFN β-1a, 44 or 22 μg three times weekly or placebo; after 2 years, placebo patients were re-randomized to IFN β-1a 44 or 22 μg (delayed treatment [DT]). This was a retrospective analysis of MRI scans in patients with monthly scans from Months -1 to 9. New enhancing lesions (NEL) were evaluated from Months -1 to 3; CBH evolving from NEL were assessed at Month 8/9. Association between CBH and disability outcome in follow-up to 4 years was analyzed according to treatment group. RESULTS:196 patients were included (IFN β-1a combined, n=129; DT, n=67). In the IFN β-1a group, 73/129 had NEL versus 49/67 in the DT group from Months -1 to 3; 蠅1 CBH at Month 8/9 developed in 25/73 (34[percnt]) and 27/49 (55[percnt]) patients with 蠅1 NEL in the IFN β-1a and DT groups, respectively. CBH were associated with disability progression versus no CBH (confirmed 3-month Expanded Disability Status Scale [EDSS] progression rate at 4 years 55.8[percnt] versus 43.1[percnt]). In patients with 蠅1 CBH at Month 8/9, proportions with confirmed EDSS progression at 1-, 2-, 3- and 4-years were: DT 37.0[percnt], 48.1[percnt], 55.6[percnt], 59.3[percnt], respectively; IFN β-1a 12.0[percnt], 32.0[percnt], 52.0[percnt], 52.0[percnt], respectively. In patients with 蠅1 CBH, median EDSS score in the DT group increased from 2.00 at Month 8/9 to 3.5 at 4 years; in the IFN β-1a group, the score increased from 2.5 to 3.0. CONCLUSIONS:CBH are associated with disability progression. IFN β-1a led to fewer NEL evolving into CBH, and slower disability progression at 4 years. Study Supported by: Merck Serono.
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 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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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".