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Record W3034072070 · doi:10.1016/j.xjon.2020.05.012

Commentary: Missing the mark but we must keep trying

2020· editorial· en· W3034072070 on OpenAlexaff
Thin Xuan Vo, Fraser D. Rubens

Bibliographic record

VenueJTCVS Open · 2020
Typeeditorial
Languageen
FieldMedicine
TopicCardiac Valve Diseases and Treatments
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsRevascularizationMedicineAortic valve replacementCardiologyPercutaneous coronary interventionStenosisInternal medicinePercutaneousAortic valveSurgeryMyocardial infarction

Abstract

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Central MessageThe rate of revascularization after aortic valve intervention is unclear. Further insight will assist with heart team planning, especially in the era of emerging transcatheter therapies.See Article page 91. The rate of revascularization after aortic valve intervention is unclear. Further insight will assist with heart team planning, especially in the era of emerging transcatheter therapies. See Article page 91. Decision-making regarding aortic valve prosthesis and method of implantation at the time of aortic valve replacement (AVR) has become increasingly complex and requires the consideration of many factors. One area that remains unclear is the long-term rate of coronary revascularization after AVR and how this may influence the selection of interventions. In this issue of JTCVS Open, Çelik and colleagues1Çelik M. Durko A.P. Head S.J. Mahtab E.A.F. van Mieghem N.M. Cummins P.A. et al.Coronary revascularization after surgical aortic valve replacement.J Thorac Cardiovasc Surg Open. 2020; 3: 91-101Scopus (2) Google Scholar help illuminate the rate of coronary revascularization after surgical AVR in patients without significant coronary stenosis at time of intervention. In their retrospective cohort study of 420 patients, they found a cumulative revascularization rate of 6.9% at 20 years, with percutaneous coronary intervention being the most common intervention (64%). The authors suggest that these results may help provide an approximation of the long-term revascularization rate after transcatheter aortic valve implantation. The authors should be commended for offering insight on an area of limited knowledge. The cumulative revascularization rate over a period of 20 years appears to be quite low. Furthermore, a majority of these patients only required revascularization for single-vessel disease and in nonurgent fashion, suggesting that the burden of coronary disease in these patients remains low over 2 decades. These results, however, should be interpreted with caution. The first concern is the high rate of loss to follow-up. Of the 2256 potentially eligible patients, only 420 were included, which probably underestimates the burden of coronary artery disease faced by this patient population.2Vilalta V. Asmarats L. Ferreira-Neto A.N. Maes F. de Freitas Campos Guimarães L. Couture T. et al.Incidence, clinical characteristics, and impact of acute coronary syndrome following transcatheter aortic valve replacement.JACC Cardiovasc Interv. 2018; 11: 2523-2533Crossref PubMed Scopus (59) Google Scholar This is important, as there was a significant discrepancy between the 2 groups. Nonfollowed patients were older, with more frequent degenerative tricuspid aortic valve disease (as opposed to the greater rate of bicuspid aortic valve disease in the followed group), factors that are likely related to the outcome of revascularization. Therefore, the patient population in the study of Çelik and colleagues likely does not accurately reflect even the low-risk transcatheter aortic valve implantation population.3Mack M.J. Leon M.B. Thourani V.H. Makkar R. Kodali S.K. Russo M. et al.Transcatheter aortic-valve replacement with a balloon-expandable valve in low-risk patients.N Engl J Med. 2019; 380: 1695-1705Crossref PubMed Scopus (2388) Google Scholar From a statistical standpoint, we are also sympathetic that due to the small sample size, the primary outcome (time-to-first revascularization event) was infrequent (24 events) and thus the analysis may not be as credible. Likely, only 2 covariate predictors could be reliably identified without overfitting. Lastly, we would caution that there are also limitations to identifying the impact of covariates with the technique of competing risks that the authors chose. This strategy works well in predicting outcomes, but it does not accurately identify the role of predictors. Nonetheless, their data do provide some reassurance that in the younger patient population requiring aortic intervention, the likelihood of requiring surgery for bypass grafting in the future is probably on the lower side. In fact, the chance of requiring reintervention for the aortic valve over a period of 2 decades is likely greater, especially for bioprosthetic valves.4Ruel M. Kulik A. Rubens F.D. Bédard P. Masters R.G. Pipe A.L. et al.Late incidence and determinants of reoperation in patients with prosthetic heart valves.Eur J Cardiothorac Surg. 2004; 25: 364-370Crossref PubMed Scopus (121) Google Scholar,5Head S.J. Çelik M. Kappetein A.P. Mechanical versus bioprosthetic aortic valve replacement.Eur Heart J. 2017; 38: 2183-2191Crossref PubMed Scopus (165) Google Scholar Although they miss the bull's eye, Çelik and colleagues do point us in the right direction and give the heart team data to consider as we embark toward the new age of aortic valve intervention. Coronary revascularization after surgical aortic valve replacementJTCVS OpenVol. 3PreviewIt remains unclear how often coronary revascularization is necessary after aortic valve interventions, either by surgical aortic valve replacement (SAVR) or transcatheter aortic valve replacement. However, these data are relevant for treatment and prosthesis choice. The authors sought to analyze the incidence and characteristics of coronary revascularization after SAVR during follow-up. Full-Text PDF Open Access

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)0.000
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.075
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
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 head0.027
GPT teacher head0.376
Teacher spread0.349 · 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.

Study designNot applicable
Domainnot available
GenreEditorial

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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