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Record W6903021297 · doi:10.7939/r3-wt63-hj84

The Clinical Adoption of anti-CD19 CAR T-cell Therapy in Alberta: A Historical Review and Retrospective Comparative Case Study

2022· dissertation· en· W6903021297 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity of Alberta Library · 2022
Typedissertation
Languageen
FieldMedicine
TopicCAR-T cell therapy research
Canadian institutionsnot available
Fundersnot available
KeywordsTimelineStakeholderProduct (mathematics)Health careProcess (computing)Comparative casePerspective (graphical)Comparative effectiveness researchGrey literature

Abstract

fetched live from OpenAlex

This thesis details the adoption of anti-CD19 CAR T-cell therapy in Alberta from 2018-2021, during which time a commercial (tisagenlecleucel) and investigative (ACT-C01) CAR T product were implemented as standard of care and under a clinical trial, respectively. Information was gathered through stakeholder interviews, primary source documents obtained from Alberta Health Services employees involved in the adoption process, and peer-reviewed and grey literature acquired by targeted database searches. Herein, we provide a timeline of the events and processes at both centres; a comprehensive list of the stakeholders and their relationships; and an analysis of the challenges of and enablers to adoption using the Consolidated Framework for Implementation Research. Potential approaches to assessing the outcomes of the adoption process across each site from a health system perspective are proposed, and lastly, limitations of the study are acknowledged and future research avenues proposed.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.323
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.044
GPT teacher head0.329
Teacher spread0.285 · 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 teacher head, not a consensus.

Study designObservational
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

Citations0
Published2022
Admission routes1
Has abstractyes

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