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A Simple Doppler Echocardiography Method to Evaluate Pulmonary Capillary Wedge Pressure in Patients with Atrial Fibrillation

2007· article· en· W2070996467 on OpenAlex
Mario Sénéchal, Kim O’Connor, Jonathan Deblois, Julien Magné, Jean‐Gaston Dumesnil, Philippe Pîbarot, Sébastien Bergeron, Paul Poirier

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEchocardiography · 2007
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Function and Risk Factors
Canadian institutionsMontreal Heart Institute
Fundersnot available
KeywordsPulmonary wedge pressureMedicineAtrial fibrillationCardiologyInternal medicineBeat (acoustics)Pulmonary arteryWedge (geometry)CatheterPulmonary artery catheterCardiac cycleBlood pressureCardiac outputSurgeryMathematics

Abstract

fetched live from OpenAlex

OBJECTIVE: The accuracy of E/E' ratio has not been validated in atrial fibrillation (AF). The objective of this study is to compare the accuracy of the E/E' ratio averaged over a sample of 10 cardiac cycles and E/E' ratio obtained in the cycle with the longest RR interval for the estimation of wedge pressure in patients with AF using a simultaneous pulmonary artery occlusive pressure measured with a Swan-Ganz catheter. DESIGN: Twenty-four consecutive patients with AF with a Swan-Ganz catheter were recruited in this study. The majority of patients (92%) were in the early postoperative phase of cardiac surgery. RESULTS: The best sensitivity and specificity was reached with E/E' ratio in the medial position using the one-beat method; E/E' ratio > or = 16 with one beat predicts a wedge pressure >15 mmHg with a sensitivity and specificity of 91% and 85%, respectively. CONCLUSIONS: Measuring E/E' ratio using the one-beat method is a simple and clinically accurate way to estimate wedge pressure in patients with AF.

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.

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)0.002
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.089
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0030.004
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 head0.009
GPT teacher head0.267
Teacher spread0.258 · 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