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Record W3087544399 · doi:10.24875/acm.20000008

Participación de los equipos de respuesta rápida de tromboembolia pulmonar durante el perioperatorio

2020· review· es· W3087544399 on OpenAlexaff
Mateo Porres‐Aguilar, Javier E. Anaya‐Ayala, Flavio Adrián Grimaldo-Gómez, Luis E. Santos-Martínez, David Jiménez, Mateo Porres‐Muñoz, Raúl Izaguirre-Ávila, Raúl Carrillo-Esper

Bibliographic record

VenueArchivos de cardiología de México · 2020
Typereview
Languagees
FieldMedicine
TopicVenous Thromboembolism Diagnosis and Management
Canadian institutionsJewish General Hospital
Fundersnot available
KeywordsMedicinePulmonary embolismPerioperativeDiseaseIntensive care medicineCardiologyInternal medicineSurgery

Abstract

fetched live from OpenAlex

La tromboembolia pulmonar aguda representa una causa frecuente de morbimortalidad cardiovascular, sólo rebasada por los síndromes coronarios agudos y la enfermedad cerebrovascular. El inicio y la intervención de un equipo multidisciplinario de respuesta rápida en la tromboembolia pulmonar son imperantes para mejorar el pronóstico y reducir al mínimo las posibles secuelas en el subgrupo de pacientes más graves. En este artículo de revisión se describe y revisa de manera general el papel actual y potencial que tienen dichos equipos de respuesta rápida, con un enfoque particular en el perioperatorio. Acute pulmonary embolism represents a frequent cause of cardiovascular morbidity and mortality, only exceeded by acute coronary syndromes and cerebrovascular disease. The start-up and implementation of a designated pulmonary embolism response team is necessary to improve prognosis and minimize long-term sequelae in the subgroup of patients with significant pulmonary embolism. Herein, we describe and discuss an overview of the current and potential role of pulmonary embolism response teams, with a focus on the perioperative period.

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)0.005
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesMeta-epidemiology (narrow), Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.813
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.004
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0090.003
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0000.001

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 head0.032
GPT teacher head0.347
Teacher spread0.314 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2020
Admission routes1
Has abstractyes

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