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Record W2058851462 · doi:10.1002/mus.20951

Pilot study of granulocyte colony stimulating factor (G‐CSF)‐mobilized peripheral blood stem cells in amyotrophic lateral sclerosis (ALS)

2008· article· en· W2058851462 on OpenAlexaff
Neil R. Cashman, Charles Krieger, Burkhard Mädler, Alex L. MacKay, Ian R. Mackenzie, Barrett Benny, Stephen H. Nantel, Marife Fabros, Leslie A. Shinobu, Masoud Yousefi, Andrew Eisen

Bibliographic record

VenueMuscle & Nerve · 2008
Typearticle
Languageen
FieldMedicine
TopicAmyotrophic Lateral Sclerosis Research
Canadian institutionsVancouver General HospitalPhilips (Canada)University of British Columbia
Fundersnot available
KeywordsAmyotrophic lateral sclerosisMedicineGranulocyte colony-stimulating factorStem cellHaematopoiesisBone marrowSpinal cordPathologyInternal medicineBiologyCell biologyChemotherapyDisease

Abstract

fetched live from OpenAlex

Amyotrophic lateral sclerosis (ALS) is characterized by degeneration of upper and lower motor neurons in the brain, brainstem, and spinal cord. It has been proposed that bone marrow (BM)-derived cells might supply motor neurons and other cells with a cellular milieu more conducive to survival in ALS. Direct injection of stem cells in ALS is problematic because of the large expanse of the neuraxis that would need to be injected. We reasoned that transiently increasing the number of circulating hematopoietic stem cells might be a useful therapeutic approach. However, agents stimulating the activation and mobilization of hematopoietic stem cells may have adverse effects such as activation of microglial cells. We conducted a small pilot trial of the collection and reinfusion of granulocyte-colony stimulating factor (G-CSF)-mobilized peripheral blood stem cells (PBSC) in ALS patients and found no adverse effects, paving the way for a properly powered therapeutic trial with an optimized regimen of G-CSF.

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)0.003
metaresearch head score (Gemma)0.002
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 score0.003
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0020.001

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 head0.097
GPT teacher head0.294
Teacher spread0.198 · 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

Citations81
Published2008
Admission routes1
Has abstractyes

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