MétaCan
Menu
Back to cohort
Record W2924637906 · doi:10.1159/000496605

Cell Therapy for Knee Osteoarthritis: Mesenchymal Stromal Cells

2019· review· en· W2924637906 on OpenAlex
Christopher Kim, Armand Keating

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueGerontology · 2019
Typereview
Languageen
FieldMedicine
TopicMesenchymal stem cell research
Canadian institutionsPrincess Margaret Cancer CentreToronto Western Hospital
Fundersnot available
KeywordsOsteoarthritisMedicineMesenchymal stem cellQuality of life (healthcare)Cell therapyKnee JointBioinformaticsClinical trialPhysical therapyStem cellPathologyAlternative medicineSurgeryBiology

Abstract

fetched live from OpenAlex

Osteoarthritis (OA) is designated the 11th highest contributor of 291 diseases of global disability and the most common cause of chronic disability in elderly people. OA has a devastating impact on quality of life and represents an enormous socio-economic burden. Currently, OA is incurable, and no approved medications, biological therapy, or procedure prevents the progressive destruction of the osteoarthritic knee joint. All current treatments provide symptomatic relief rather than preventative or regenerative results. There is an urgent and compelling need to find, validate, and test new biological therapeutics. Cell-based therapies involving the delivery of mesenchymal stromal cells (MSCs) to the os-teoarthritic knee joint have emerged as a potential solution to overcome this clinical shortcoming. In this review, we address the clinical evidence, challenges, and recent advances surrounding MSC treatment in knee OA.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.977
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.002

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.

Opus teacher head0.164
GPT teacher head0.411
Teacher spread0.247 · 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