Autologous Hematopoietic Stem Cell Transplants as a Treatment for Multiple Sclerosis
Bibliographic record
Abstract
Multiple sclerosis (MS) presents through progressive loss of motor function due to the demyelination of axons throughout the nervous system. It is categorized as an autoimmune disease with a variety of subclassifications based on the recurrence of degenerative events. This review examines the efficacy of autologous hematopoietic stem cell transplantation (AHSCT) in reducing the symptoms related to MS compared to traditional disease-modifying therapies (DMTs) such as ocrelizumab and ofatumumab. Within current literature, AHSCT has shown success in increasing quality of life as well as halting degenerative events. In preliminary studies, AHSCT has shown greater improvement when used prior to DMTs. However, severe limitations hinder the availability of AHSCT, such as the risk of neuroablative illness, highly specific treatment criteria, and high costs. AHSCT is a promising treatment for alleviating MS symptoms, and necessary research on its long-term efficacy is currently underway.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.003 | 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".