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Record W4386652249 · doi:10.14740/jcs455

Perioperative Management of Hemophilia A With Recombinant VIII-SingleChain: A Case Series

2022· article· en· W4386652249 on OpenAlexvenueno aff
Naoya Yamasaki, Teruhisa Fujii

Bibliographic record

VenueJournal of Current Surgery · 2022
Typearticle
Languageen
FieldMedicine
TopicHemophilia Treatment and Research
Canadian institutionsnot available
FundersCSL Behring
KeywordsMedicinePerioperativeHemostasisSurgeryRecombinant factor VIIaCoagulationClotting factorAnesthesiaInternal medicine

Abstract

fetched live from OpenAlex

Patients with hemophilia A often experience non-traumatic spontaneous bleeding and prolonged time to hemostasis following trauma. Those who require surgery must undergo risk assessment for perioperative bleeding, and factor VIII (FVIII) replacement therapy must be administered when coagulation factors are deficient to prevent perioperative bleeding. This case series reports the first four cases in which single-chain recombinant FVIII (rVIII-SingleChain) was used for perioperative hemostasis management in patients with hemophilia A at Hiroshima University Hospital, Hiroshima, Japan. Three male patients, aged 70, 66, and 77 years, with mild hemophilia A underwent four surgical procedures. After surgery, rVIII-SingleChain administration provided adequate increases in factor VIII activity, measured by the one-stage clotting assay (OSA), and hemostatic effectiveness was observed. This case series demonstrates that real-time changes in coagulation factor activity in the perioperative period can be monitored with the OSA after rVIII-SingleChain administration in patients with hemophilia A. J Curr Surg. 2022;12(1):15-20 doi: https://doi.org/10.14740/jcs455

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: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.324
Threshold uncertainty score0.392

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.059
GPT teacher head0.325
Teacher spread0.266 · 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 designCase report
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

Citations0
Published2022
Admission routes1
Has abstractyes

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