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Record W4410598641 · doi:10.1183/23120541.00231-2025

A novel treatment for emphysema in a porcine model: extracorporeal radiofrequency

2025· article· en· W4410598641 on OpenAlexafffund
Taketo Sasaki, Chung Yan Cheung, Yuki Tajima, Mai Tsutsui, Edmond Li, Sha He, Laura Mowbray, Evan Goodacre, Corey Myrdal, Kim Wolff, Eran Elizur, Dragoş M. Vasilescu, Don D. Sin

Bibliographic record

VenueERJ Open Research · 2025
Typearticle
Languageen
FieldMedicine
TopicPneumothorax, Barotrauma, Emphysema
Canadian institutionsSt. Paul's HospitalUniversity of British Columbia
FundersMitacs
KeywordsMedicineExtracorporealIntensive care medicineSurgery

Abstract

fetched live from OpenAlex

<title>Extract</title> Lung volume reduction surgery (LVRS) remains the only intervention shown to significantly reduce both morbidity and mortality in selected patients with severe emphysema [1, 2]. The excision of emphysematous tissue enhances lung mechanics, subsequently improving outcomes in COPD patients. Nevertheless, the substantial perioperative risks and costs associated with LVRS have limited its clinical utilization [1–3]. Radiofrequency (RF) treatment is a novel non-invasive treatment for emphysema tested in pre-clinical studies. Previous studies indicate that extracorporeal application of RF selectively heats emphysematous tissue — characterized by diminished perfusion compared to healthy tissue — thereby initiating a localized inflammatory response and subsequent healing. We have demonstrated that RF treatment improves lung compliance and morphologic scores for emphysema in rats and improves exercise capacity in a murine model of emphysema [4, 5].

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.416
Threshold uncertainty score0.986

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.329
GPT teacher head0.526
Teacher spread0.197 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations0
Published2025
Admission routes2
Has abstractyes

Explore more

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