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Record W2087348386 · doi:10.1159/000128353

The Influence of Open-Heart Surgery during Extreme Hemodilution on the Hemostatic Mechanism in the Dog

2008· article· en· W2087348386 on OpenAlexaboutno aff
Jeremy Dale, Ansgar O. Aasen, Per Lilleaasen, K. Stadskleiv, Svein Simonsen, Bjarne K. H. Semb, F. Resch

Bibliographic record

VenueEuropean Surgical Research · 2008
Typearticle
Languageen
FieldEngineering
TopicMechanical Circulatory Support Devices
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineCardiopulmonary bypassAnesthesiaCoagulationThrombosisPlateletPerfusionHeparinCardiologySurgeryInternal medicine

Abstract

fetched live from OpenAlex

12 Labrador retriever dogs had mitral disc valves implanted during cardiopulmonary bypass (CPB) with extreme hemodilution, obtained with preoperative blood withdrawal, the use of blood-free priming fluid during perfusion, and retransfusion of autologous blood. Before operation, platelet adhesiveness as well as the reactivity of the intrinsic and extrinsic coagulation systems were markedly higher than in man. During CPB, the number of functioning platelets was very low, but increased after retransfusion, and were after 4 h twice as high as in 7 human patients who received aortic disc valves during CPB with extreme dilution. The extrinsic coagulation system also reacted much faster during and after CPB in the dogs, and heparin activity was rapidly neutralized and intrinsic coagulation normalized in them. Intravascular coagulation did not occur, and more hemolysis was induced in the dogs than in the patients. 3 of the dogs died from valve thrombosis within 24 h. The high reactivity of platelets and coagulation systems in the dog makes the canine model a very difficult one for experimental open-heart surgery because of a strong tendency to thrombosis.

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)0.010
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.778
Threshold uncertainty score0.458

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.167
GPT teacher head0.334
Teacher spread0.168 · 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 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

Citations5
Published2008
Admission routes1
Has abstractyes

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