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Record W3175398433 · doi:10.1016/j.jtct.2021.06.013

Recognition of Hematopoietic Stem Cell Transplantation and Cellular Therapy Expertise to Promote Care Accessibility: A Formally Credentialed Area of Focused Competence in Canada

2021· article· en· W3175398433 on OpenAlexafffundabout
Sylvie Lachance, Marcio M. Gomes, Nadia M. Bambace, Henrique Bittencourt, Kylie Lepic, Mona Shafey, Jolanta Karpinski, Gregory M.T. Guilcher

Bibliographic record

VenueTransplantation and Cellular Therapy · 2021
Typearticle
Languageen
FieldMedicine
TopicHematopoietic Stem Cell Transplantation
Canadian institutionsUniversity of CalgaryMcMaster UniversityJuravinski HospitalCentre Hospitalier Universitaire Sainte-JustineRoyal College of Physicians and Surgeons of CanadaUniversity of OttawaUniversité de MontréalHôpital Maisonneuve-Rosemont
FundersRoyal College of Physicians and Surgeons of Canada
KeywordsCompetence (human resources)Economic shortageTransplantationMedicineHematopoietic stem cell transplantationStem cellPsychologySurgery

Abstract

fetched live from OpenAlex

Hematopoietic stem cell transplantation (HSCT) and cellular therapy (CT) exploit the therapeutic potential of manipulated or unmanipulated hematopoietic cells to treat diseases. While initially dedicated to the treatment of hematologic malignancies and disorders, the use of these therapies in several diseases and cancers is currently under investigation. Indications are currently booming. In the midst of this expansion, both the American Society for Transplantation and Cellular Therapy (ASTCT) and the European Society for Blood and Marrow Transplantation (EBMT) have highlighted the global shortage of hematologists adequately trained in this field of high expertise. This shortage in transplant physicians and cellular therapists can significantly impact patients' access to cell-based therapy. To address this unmet need and attract aspiring hematologists to the field of cellular therapy, as well as to standardize training, anticipating this trend, a Canadian national task force aiming to develop a structured academic program in HSCT and CT was created. Workshops were organized to identify and establish the fundamentals of the practice in HSCT and CT. These workshops followed a rigorous process in developing the competency-based training program established by the Royal College. The program begins with the development of the main tasks associated with the practice of the discipline and the evidence that trainees must provide to demonstrate that they can perform these tasks independently (the competence portfolio). It continues with the development of training requirements that summarize the knowledge, skills, and aptitudes required to perform these tasks, followed by specific exposure during training (milestones) essential to demonstrate the acquisition of these skills. HSCT and CT together is now formally recognized as an Area of Focused Competence (AFC) by the Royal College of Physicians and Surgeons of Canada, a national organization that provides oversight of the medical education of specialists in Canada. AFCs are areas of specialty medicine that address a legitimate societal and patient population need previously unmet by the system of primary and subspecialty disciplines. The AFC designation for HSCT and CT provides a standardized curriculum, training experience, and accreditation process to attract young hematologists and promote expertise and quality care to meet the needs of both patients and society. A critical number of highly qualified hematologists will ensure continuing expansion of accessibility to HSCT and CT.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.079
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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

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 head0.026
GPT teacher head0.240
Teacher spread0.214 · 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 designBench or experimental
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

Citations3
Published2021
Admission routes3
Has abstractyes

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