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Record W3025021500 · doi:10.1055/s-0040-1709501

Perioperative Acute Pulmonary Embolism: A Concise Review with Emphasis on Multidisciplinary Approach

2020· review· en· W3025021500 on OpenAlexaff
Mateo Porres‐Aguilar, Belinda Rivera‐Lebron, Javier E. Anaya‐Ayala, María Cristina Guerrero de León, Debabrata Mukherjee

Bibliographic record

VenueInternational Journal of Angiology · 2020
Typereview
Languageen
FieldMedicine
TopicVenous Thromboembolism Diagnosis and Management
Canadian institutionsMcGill UniversityJewish General Hospital
Fundersnot available
KeywordsMedicinePerioperativePulmonary embolismIntensive care medicineMultidisciplinary approachRisk stratificationAngiologyComplicationSurgeryCardiology

Abstract

fetched live from OpenAlex

Perioperative acute pulmonary embolism represents a relatively rare complication; however, it could be very serious and devastating in some cases. Its diagnosis could be particularly challenging, especially in the intraoperative period. Herein, we emphasize some key concepts with the aim to perform an early and appropriate risk stratification, diagnostic and therapeutic approach in a multidisciplinary fashion, a brief overview on thromboprophylaxis, with the main objective to improve outcomes and survival in these challenging patients.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.956
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.038
GPT teacher head0.378
Teacher spread0.340 · 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

Citations18
Published2020
Admission routes1
Has abstractyes

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