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Record W3085403542 · doi:10.1161/strokeaha.120.029350

Risk of Paradoxical Embolism (RoPE)–Estimated Attributable Fraction Correlates With the Benefit of Patent Foramen Ovale Closure

2020· article· en· W3085403542 on OpenAlexaff
David M. Kent, Jeffrey L. Saver, Robin Ruthazer, Anthony J. Furlan, Mark Reisman, John D. Carroll, Richard W. Smalling, Peter Jüni, Heinrich P. Mattle, Bernhard Meier, David E. Thaler

Bibliographic record

VenueStroke · 2020
Typearticle
Languageen
FieldMedicine
TopicCardiovascular and Diving-Related Complications
Canadian institutionsSt. Michael's Hospital
FundersNational Center for Advancing Translational SciencesPatient-Centered Outcomes Research Institute
KeywordsMedicinePatent foramen ovaleParadoxical embolismClosure (psychology)CardiologyInternal medicineStroke (engine)EmbolismSurgery

Abstract

fetched live from OpenAlex

Background and Purpose: In patients with cryptogenic stroke and patent foramen ovale (PFO), the Risk of Paradoxical Embolism (RoPE) Score has been proposed as a method to estimate a patient-specific “PFO-attributable fraction”—the probability that a documented PFO is causally-related to the stroke, rather than an incidental finding. The objective of this research is to examine the relationship between this RoPE-estimated PFO-attributable fraction and the effect of closure in 3 randomized trials. Methods: We pooled data from the CLOSURE-I (Evaluation of the STARFlex Septal Closure System in Patients With a Stroke and/or Transient Ischemic Attack due to Presumed Paradoxical Embolism through a Patent Foramen Ovale), RESPECT (Randomized Evaluation of Recurrent Stroke Comparing PFO Closure to Established Current Standard of Care Treatment), and PC (Clinical Trial Comparing Percutaneous Closure of Patent Foramen Ovale [PFO] Using the Amplatzer PFO Occluder With Medical Treatment in Patients With Cryptogenic Embolism) trials. We examine the treatment effect of closure in high RoPE score (≥7) versus low RoPE score (<7) patients. We also estimated the relative risk reduction associated with PFO closure across each level of the RoPE score using Cox proportional hazard analysis. We estimated a patient-specific attributable fraction using a PC trial–compatible (9-point) RoPE equation (omitting the neuroradiology variable), as well as a 2-trial analysis using the original (10-point) RoPE equation. We examined the Pearson correlation between the estimated attributable fraction and the relative risk reduction across RoPE strata. Results: In the low RoPE score group (<7, n=912), the rate of recurrent strokes per 100 person-years was 1.37 in the device arm versus 1.68 in the medical arm (hazard ratio, 0.82 [0.42–1.59] P =0.56) compared with 0.30 versus 1.03 (hazard ratio, 0.31 [0.11–0.85] P =0.02) in the high RoPE score group (≥7, n=1221); treatment-by-RoPE score group interaction, P =0.12. The RoPE score estimated attributable fraction anticipated the relative risk reduction across all levels of the RoPE score, in both the 3-trial ( r =0.95, P <0.001) and 2-trial ( r =0.92, P <0.001) analyses. Conclusions: The RoPE score estimated attributable fraction is highly correlated to the relative risk reduction of device versus medical therapy. This observation suggests the RoPE score identifies patients with cryptogenic stroke who are likely to have a PFO that is pathogenic rather than incidental.

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)0.041
metaresearch head score (Gemma)0.080
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 score0.041
Threshold uncertainty score0.216

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0410.080
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.006
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)0.0030.000

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 head0.033
GPT teacher head0.247
Teacher spread0.214 · 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

Citations97
Published2020
Admission routes1
Has abstractyes

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