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Abstract 13124: Exercise Capacity as a Predictor of the Placebo-controlled Efficacy of Percutaneous Coronary Intervention in Stable Coronary Artery Disease: The Ventilatory Gas Exchange-stratified Analysis of ORBITA

2020· article· en· W3100171979 on OpenAlexaboutno aff
Sashiananthan Ganesananthan, Christopher Rajkumar, Matthew Shun‐Shin, Alexandra N. Nowbar, Michael Foley, Henry Seligman, Roland Wensel, John R. Davies, Dárrel P. Francis, Rasha Al‐Lamee

Bibliographic record

VenueCirculation · 2020
Typearticle
Languageen
FieldMedicine
TopicCardiovascular and exercise physiology
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineConventional PCIPercutaneous coronary interventionCoronary artery diseasePlaceboCardiologyInternal medicineAnginaVO2 maxClinical endpointHeart rateBlood pressureMyocardial infarctionRandomized controlled trial

Abstract

fetched live from OpenAlex

Introduction: Improvement in exercise capacity is a therapeutic goal of percutaneous coronary intervention (PCI) for stable coronary artery disease (CAD). Cardiopulmonary exercise testing (CPET) provides an accurate quantification of cardio-respiratory fitness through analysis of ventilatory gas exchange (VGE). The aim of this secondary analysis from the ORBITA trial is to determine the placebo-controlled effect of PCI on VGE parameters and determine if pre-randomisation exercise capacity predicts the placebo-controlled efficacy of PCI. Methods: Following a 6-week medication optimisation phase, patients with severe single vessel CAD underwent pre-randomisation treadmill CPET using the smoothed modified Bruce protocol. Patients were then randomly assigned to PCI or a placebo procedure. At the end of the 6-week follow up period, patients underwent repeat CPET before being unblinded to treatment allocation. Results: CPET data was available for 195 patients (mean age 66.1 ± 9.1, 73.3% male). At baseline, peak oxygen uptake (VO 2 ) was 21.5±6.7ml/kg/min in the PCI arm (n=102) and 20.6±6.6ml/kg/min in the placebo arm (n=93). At follow up, there was no significant benefit from PCI over a placebo procedure for any ventilatory gas exchange (peak VO 2 , p=0.826; O 2 -pulse plateau, p=0.638) or haemodynamic parameter (rate-pressure product, p=0.215). Although PCI resulted in significantly improved patient-reported freedom from angina (OR, 2.58 [95% CI, 1.35-14.92] p=0.004) and angina frequency score (OR, 1.73 [95% CI, 1.02 to 2.96], p=0.0432), there was no detectable interaction between peak VO 2 and these endpoints (P interaction(int) =0.715 and P int =0.588 respectively). Similarly, pre-randomisation peak VO 2 did not predict the placebo-controlled benefit of PCI on physical limitation (P int =0.293), quality of life (P int =0.380), EuroQOL 5 visual analogue score (P int =0.695), Canadian Cardiovascular Society angina class (P int =0.120) or exercise time (P int =0.897). Conclusions: When assessed against placebo, PCI does not improve VGE or exercise capacity, assessed by CPET. Furthermore, pre-randomisation exercise capacity does not predict the placebo-controlled effect of PCI on symptom relief, even in patients with lower functional capacity.

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)0.006
metaresearch head score (Gemma)0.006
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.019
GPT teacher head0.245
Teacher spread0.225 · 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".

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Citations0
Published2020
Admission routes1
Has abstractyes

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