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Efficacy of Aprotinin in Reducing Blood Loss in Spinal Fusion for Idiopathic Scoliosis

2003· article· en· W1970715117 on OpenAlex

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

VenueJournal of Pediatric Orthopaedics · 2003
Typearticle
Languageen
FieldMedicine
TopicBlood transfusion and management
Canadian institutionsChildren's Hospital of Eastern OntarioUniversity of Ottawa
Fundersnot available
KeywordsMedicineAprotininScoliosisAntifibrinolyticSpinal fusionAnesthesiaPlaceboSurgeryOrthopedic surgeryBlood lossIdiopathic scoliosisBlood transfusionRachisTranexamic acid

Abstract

fetched live from OpenAlex

Aprotinin is a proteinase inhibitor with antifibrinolytic properties that has found widespread application during cardiac surgical procedures due to its ability to decrease blood loss and transfusion requirements. Recently it has been used by orthopedic surgeons in hip replacement and other major surgeries except for scoliosis surgery, which is known to be associated with major blood loss. To evaluate the effect of aprotinin in reducing blood loss during spinal fusion surgery for idiopathic scoliosis, a double-blind randomized prospective clinical study was performed. Forty-three patients with idiopathic scoliosis underwent spinal fusion and instrumentation and were divided randomly into two groups. Fifteen patients received aprotinin, whereas 28 patients received placebo. The aprotinin group had less blood loss than the placebo group. The transfusion requirement was less in the aprotinin group than the placebo group. Although the difference was not significant statistically, the benefit of aprotinin in reducing blood loss in spinal surgery for idiopathic scoliosis was consistent.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.080
Threshold uncertainty score0.554

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
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 head0.020
GPT teacher head0.286
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