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Record W1973004967 · doi:10.1177/1089253207311158

Perfusion Approaches to Blood Conservation

2007· review· en· W1973004967 on OpenAlex
Christine A. McKay

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

VenueSeminars in Cardiothoracic and Vascular Anesthesia · 2007
Typereview
Languageen
FieldMedicine
TopicBlood transfusion and management
Canadian institutionsLondon Health Sciences Centre
Fundersnot available
KeywordsBlood conservationMedicinePriming (agriculture)HemoglobinPerfusionReduction (mathematics)Red blood cellAnesthesiaCardiologyInternal medicineBlood lossSurgery

Abstract

fetched live from OpenAlex

There are several perfusion techniques that can contribute to blood conservation. Minimizing existing circuit components, using mini-circuits and the maneuver of retrograde autologous priming can be considered steps in prime reduction. Microplegia systems may also reduce systemic as well as cardiac hemodilutional effects. Cell savers can scavenge shed blood, wash the red cells, and may return the red cells to the patient in a concentrated form. When a patient is already hemodiluted, ultrafiltation can be used to hemoconcentrate the patient and to drive their existing hemoglobin levels up. Ultimately, the optimal form of blood conservation comes from team-work, communication, and a combination of efforts.

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)0.002
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: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.984
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.123
GPT teacher head0.336
Teacher spread0.213 · 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