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Record W2065011797 · doi:10.1016/j.ejcts.2007.04.001

Reply to Kalavrouziotis et al.

2007· article· en· W2065011797 on OpenAlexaboutno aff
Thomas Walther, Volkmar Falk, Michael A. Borger, Friedrich W. Mohr

Bibliographic record

VenueEuropean Journal of Cardio-Thoracic Surgery · 2007
Typearticle
Languageen
FieldMedicine
TopicCardiac Valve Diseases and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineEuroSCOREStenosisCohortCandidacyDiseaseStroke (engine)COPDAscending aortaInternal medicineIntensive care medicineSurgeryCardiologyAortaCardiac surgery

Abstract

fetched live from OpenAlex

With interest we read the comments made by Kalavrouziotis et al. on the two recent papers on transapical aortic valve implantation [1]. The authors comment on the EuroSCORE. We are aware that the operative risk may be overestimated when using the EuroSCORE, particularly in patients with a high-risk profile. However, the EuroSCORE is a well-accepted, scientifically validated tool that has been assessed in numerous publications. We therefore believe it should be used in such studies, at least as one method of quantifying preoperative risk. In the future, we will also be using the STS score. Use of a standardized scoring system allows for uniform comparison of different patient groups across studies and should therefore lead to improved scientific reporting, accuracy and understanding of these investigational devices. The consideration that a high-risk profile may be prohibitive for conventional valve replacement is an important aspect to discuss. In our practice, we rarely deem a patient suffering from symptomatic aortic valve stenosis as ‘inoperable’. Therefore, even a high-risk profile would not be prohibitive for conventional aortic valve surgery in most patients at our institution. It has been well described in the literature that these high-risk operations can be performed with reasonable rates of morbidity and mortality, and our personal experience confirms this. However, when discussing high-risk patients, we have to consider several aspects. We must evaluate the individual patient’s potential risk and benefit for every operation. This includes weighing the likelihood of improvement in quality of life and life expectancy gained against the perioperative risk. We usually include the patients’ relatives in such decisions. Although conventional surgery can be successfully performed in high-risk patients, the rates of morbidity and mortality are far from zero and potential alternative techniques should be investigated. One method of decreasing the perioperative risk may be the new transapical beating heart approach, which we investigated in our initial feasibility study. If we are to continue making advances in the field of cardiac surgery, then we must continue to be innovative and assess alternative methods of treatment, particularly in patients at increased risk for poor outcomes. We would like to express our gratitude for the authors’ comments because this is exactly what we need—further surgical interest in and discussion about these exciting new techniques. We can only comment on what we are currently doing in Europe and cannot comment on the experiences of the Vancouver group. However, we consider almost every patient with symptomatic aortic valve stenosis as operable and we are scientifically evaluating new means to decrease their perioperative risk. The study presented [2] is a feasibility trial that was ethically approved after developing a sound scientific background. Further randomized trials are under way. Transcatheter valve implantation is an evolving field and surgeons should be part of it [3].

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)0.007
metaresearch head score (Gemma)0.058
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.043
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.058
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0020.001
Science and technology studies0.0030.004
Scholarly communication0.0050.009
Open science0.0050.003
Research integrity0.0430.057
Insufficient payload (model declined to judge)0.0070.009

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 head0.029
GPT teacher head0.360
Teacher spread0.331 · 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 designNot applicable
Domainnot available
GenreCommentary

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
Published2007
Admission routes1
Has abstractyes

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