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Record W4411200428 · doi:10.5435/jaaos-d-24-01399

Improving Patient Outcomes by Reducing Anemia and Bleeding in Pediatric Spine Surgery

2025· review· en· W4411200428 on OpenAlexafffund
Mark J. McVey, Mark Camp, Caroline Malcolmson, David E. Lebel

Bibliographic record

VenueJournal of the American Academy of Orthopaedic Surgeons · 2025
Typereview
Languageen
FieldMedicine
TopicHematological disorders and diagnostics
Canadian institutionsHospital for Sick Children
FundersHospital for Sick Children
KeywordsMedicineAnemiaMEDLINESurgeryGeneral surgeryInternal medicine

Abstract

fetched live from OpenAlex

Children requiring spine surgery are often iron deficient and anemic. Pediatric spine surgery is associated with notable risk of perioperative acute blood loss. To manage acute blood loss, many pediatric patients undergoing spine surgery require allogeneic transfusion of blood products. Both anemia and blood transfusions are associated with morbidity, such as increased length of stay, perioperative costs, and rarely mortality. To mitigate these factors, applying ever evolving concepts related to patient blood management (PBM), blood conservation techniques (BCT), and enhanced recovery after surgery (ERAS) are effective means to reduce anemia and transfusions perioperatively during spine surgery. This review focuses on development of multidisciplinary teams to harness the potential of PBM, BCT, and ERAS strategies. PBM, BCT, and ERAS concepts applied perioperatively for pediatric patients undergoing spine surgery provide a means of mitigating anemia and reducing the requirement for blood transfusions.

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)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.755
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.026
GPT teacher head0.322
Teacher spread0.296 · 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 designOther design
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

Citations2
Published2025
Admission routes2
Has abstractyes

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