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Record W2792849060 · doi:10.1016/j.ejim.2018.03.008

Effects on short term outcome of non-invasive ventilation use in the emergency department to treat patients with acute heart failure: A propensity score-based analysis of the EAHFE Registry

2018· article· en· W2792849060 on OpenAlexfundno aff
Òscar Miró, Gemma Martínez, Josep Masip, Víctor Gil, Francisco Javier Martín‐Sánchez, Pere Llorens, Pablo Herrero, Carolina Sánchez, Fernando Richard, Javier Lucas-Invernón, José Manuel Garrido, Alexandre Mebazaa, José Ríos, W. Frank Peacock, Judd E. Hollander, Javier Jacob, Marta Fuentes, Cristina Gil, Héctor Alonso, Pablo Garmila, Esther Rodríguez Adrada, Rosa Escoda, Carolina Xipell, Josep Ma. Gaytan, Eva Salvo, María José Pérez‐Durá, Antonio Noval, José Manuel Torres, María Ángeles Gómez, María Luisa López‐Grima, Amparo Valero, Alfons Aguirre, María Àngels Pedragosa, María Isabel Alonso, Francisco Ruiz, José Miguel Franco, Elena Dı́az, Ana Belén Mecina, Josep Tost, Susana Sánchez‐Fidalgo, Pascual Piñera, Raquel Torres Gárate, Aitor Alquézar, Miguel Alberto Rizzi, Sergio Herrera, Irene Cabello, José María Álvarez Pérez, María Pilar López Díez, Joaquín Vázquez Álvarez, Marta Sánchez González, Jose Juan Gil Román, José Manuel Carratalá, Benjamín Brouzet, Víctor Marquina, Inmaculada Mora-Jiménez, Néstor Hernández, Francisco Román, Juan Antonio Andueza, Rodolfo Romero, Roberto Calvache, María Teresa Lorca, Luis Calderón, Beatriz Amores Arriaga, Beatríz Sierra, Enrique Martín Mojarro, Lisette Travería Bécquer, Lluís Llauger Garcia, Gerard Corominas LaSalle, Carmen Agüera Urbano, Ester Soy Ferrer

Bibliographic record

VenueEuropean Journal of Internal Medicine · 2018
Typearticle
Languageen
FieldMedicine
TopicRespiratory Support and Mechanisms
Canadian institutionsnot available
FundersInstituto de Salud Carlos IIIMinistry of Health, British ColumbiaFederación Española de Enfermedades RarasFundació la Marató de TV3
KeywordsMedicinePropensity score matchingHeart failureEmergency departmentMechanical ventilationAcute coronary syndromeInternal medicineIntensive care unitObservational studyBlood pressureEmergency medicineMyocardial infarction

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.004
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.004
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.030
GPT teacher head0.284
Teacher spread0.254 · 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 source (direct Gemma or distilled Codex), 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

Citations20
Published2018
Admission routes1
Has abstractno

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