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Use of Intraoperative Red Cell Salvage in the Contemporary Management of Placenta Accreta Spectrum Disorders

2024· article· en· W4398204367 on OpenAlexaff
H Flores-Mendoza, Nesreen A. A. Shehata, Ally Murji, Lisa Allen, J.C.P. Kingdom, Rory Windrim, Jose C. A. Carvalho, Anjana Chandran, Nicholas Papalia, Sebastian R. Hobson

Bibliographic record

VenueObstetric Anesthesia Digest · 2024
Typearticle
Languageen
FieldMedicine
TopicMaternal and fetal healthcare
Canadian institutionsUniversity of TorontoMount Sinai Hospital
Fundersnot available
KeywordsMedicinePlacenta accretaObstetricsPlacentaPregnancyFetus

Abstract

fetched live from OpenAlex

( Can J Anesth/J Can Anesth. 2023;70:1544–1546) Management of hemorrhage after cesarean delivery or cesarean hysterectomy is complex. Intraoperative red cell salvage (IOCS) is commonly used in other surgical settings and is increasingly used in obstetrics. The potential risks such as amniotic fluid embolism, bacteremia, sepsis, and coagulopathy in obstetrics remain poorly understood. This study assessed the use of IOCS in the management of placenta accreta spectrum (PAS) disorders.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.057
Threshold uncertainty score0.395

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.036
GPT teacher head0.270
Teacher spread0.234 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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