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The cost of allogeneic red blood cells – a systematic review

2003· review· en· W2017398206 on OpenAlexafffundabout
Mo Amin, Dean Fergusson, Ashique Aziz, Kumanan Wilson, Doug Coyle, Paul Hébert

Bibliographic record

VenueTransfusion Medicine · 2003
Typereview
Languageen
FieldMedicine
TopicBlood transfusion and management
Canadian institutionsUniversity Health NetworkUniversity of Ottawa
FundersAmgen CanadaAmgen
KeywordsMedicineImmunologyIntensive care medicine

Abstract

fetched live from OpenAlex

Several reports suggest that the cost of RBCs may have risen over time, but there exists very little published evidence of that. The objective was to determine whether published studies documenting cost data on RBCs suggest an increase over time and to assess the quality of cost studies. We used the terms 'cost', 'allogeneic/allogenic' and 'blood' to identify cost studies between 1966 and 2002 from Medline, ISIesource and Ingenta electronic databases. Furthermore, we manually searched a number of transfusion and health economics journals for completeness. We included studies that used an established methodology and conducted an economic evaluation using primary/secondary cost data to calculate the cost of RBCs and RBC transfusion. Studies without allogeneic RBCs as comparator were excluded. Two individuals independently reviewed the studies and included studies upon reaching a consensus. Fourteen studies qualified the selection criteria and were included in the review. Ten studies were identified from Medline, two from Ingenta, one from ISIesource and one was a conference paper. Of the 14 studies reviewed, 10 had focused on RBC transfusion and four had focused on both RBCs and RBC transfusion. Ten studies were from the US, and two each from Canada and the UK, respectively. Two studies had explicit objective of cost calculation, and others had calculated costs towards fulfilling other objectives. Most of the reviewed studies were dated and of poor quality. Despite these limitations, it appears that the cost of RBCs has increased over time in the UK, Canada and the US. More studies are needed to fully assess the trend of costs over time. Future cost studies should try to follow the economic evaluation guidelines for greater research implications.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.476
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0070.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.335
Teacher spread0.291 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations61
Published2003
Admission routes3
Has abstractyes

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