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Immune Ablation Followed by Autologous Hematopoietic Stem Cell Transplantation for the Treatment of Poor Prognosis Multiple Sclerosis

2009· article· en· W194210358 on OpenAlexaffabout
Harold Atkins, Mark S. Freedman

Bibliographic record

VenueMethods in molecular biology · 2009
Typearticle
Languageen
FieldMedicine
TopicPolyomavirus and related diseases
Canadian institutionsOttawa Hospital
Fundersnot available
KeywordsMedicineMultiple sclerosisImmune systemHematopoietic stem cell transplantationTransplantationAblationRegimenImmunologyStem cellOncologyHaematopoiesisBone marrowInternal medicineBiology

Abstract

fetched live from OpenAlex

Complete abrogation of the inflammatory response by high-dose cytotoxic therapy at an early stage of MS, when the nervous system has not yet sustained irreparable damage may be successful at preventing the inexorable progression. Immunological and hematological reconstitution follows abrogation through bone marrow transplantation. The issues are complex, and many factors, including baseline disability, the timing of this intervention, the intensity of the immune ablation, and depletion of lymphocytes from the graft, are all likely to influence treatment outcome. This article describes the immune ablation regimen for treatment of patients with poor prognosis MS, as performed in the Canadian MS-BMT study.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.074
Threshold uncertainty score0.148

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.030
GPT teacher head0.345
Teacher spread0.315 · 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 designNon-randomized trial
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

Citations43
Published2009
Admission routes2
Has abstractyes

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