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Late Breaking Abstract - Endobronchial Valves for Severe Emphysema – 12-month Results of the EMPROVE Trial

2018· article· en· W2905778387 on OpenAlexaff
Gerard J. Criner, Antoine Delage, Kirk Voelker

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicChronic Obstructive Pulmonary Disease (COPD) Research
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsMedicineRadiology

Abstract

fetched live from OpenAlex

We report 12-month endpoint results of the EMPROVE study, a multicenter, randomized controlled trial that assessed safety and effectiveness of the Spiration® Valve System (SVS) compared to standard medical care in patients with severe emphysema. 172 subjects with hyperinflation and severe dyspnea without interlobar collateral ventilation determined by HCRT were randomized (2:1) to either treatment (SVS valves and medical management, N=113) or control (medical management alone, N=59). Target lobe treatment, based on high resolution computed tomography (HRCT) was 70% upper lobe and 30% lower lobe resulting in a mean target lobe volume reduction of 53%. Lung function, disease specific health status and dyspnea scores reached statistical and clinically meaningful difference between the study groups. Mean ±95% Bayesian Credible Interval, PP = Posterior Probability; SGRQ – St. George’s Respiratory Questionnaire, mMRC – Modified Medical Research Council dyspnea score. Through 12-months, 16.9% of control group patients had thoracic serious adverse events compared to 38.9% of the treatment group. Early onset pneumothorax rate (14.2%), a recognized marker for target lobe volume reduction was the main adverse event in the treatment group. This study demonstrates that selecting patients for bronchoscopic lung volume reduction by HRCT assessment results in durable effectiveness through 12 months.

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 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)0.003
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.001

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 head0.030
GPT teacher head0.323
Teacher spread0.292 · 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 designRandomized trial
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

Citations4
Published2018
Admission routes1
Has abstractyes

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