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Economic evaluation of hematopoietic stem cell transplantation

2012· article· en· W2069897311 on OpenAlexaff
Ronald D. Barr

Bibliographic record

VenueHematology · 2012
Typearticle
Languageen
FieldMedicine
TopicAcute Lymphoblastic Leukemia research
Canadian institutionsMcMaster University
Fundersnot available
KeywordsContext (archaeology)Hematopoietic stem cell transplantationTransplantationHematopoietic cellIntensive care medicineIntervention (counseling)Stem cellQuality of life (healthcare)MedicineHematopoietic stem cellHealth careHaematopoiesisBusinessEconomic growthInternal medicineEconomicsBiology

Abstract

fetched live from OpenAlex

Hematopoietic stem cell transplantation is a highly expensive clinical intervention with considerable therapeutic benefit but serious adverse effects on health status in some circumstances. Consequently, it is an important target for economic evaluation in which the monetary costs and clinical consequences of optional treatment strategies are compared. The need for such formal assessment is further demanded by the expanded use of hematopoietic stem cell transplantation globally, including its utilization in developing countries. With respect to costs, those incurred by patients and families are often substantial, while those incurred by hospitals may be inadequately reimbursed. Determination of consequences should not be limited to measurements of clinical effectiveness but rather include adjustments for quality of life. Rigorous economic evaluation can provide hard evidence in deliberations of value for money, especially in the context of limited resources for health care.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.785
Threshold uncertainty score0.613

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0010.000

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 head0.035
GPT teacher head0.324
Teacher spread0.289 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations4
Published2012
Admission routes1
Has abstractyes

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