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Record W2093155502 · doi:10.1002/clc.21012

Response to Repeat Percutaneous Balloon Mitral Valvotomy vs. Mitral Valve Replacement in Patients With Restenosis After Previous Balloon Mitral Valvotomy and Unfavorable Valve Characteristics

2012· letter· en· W2093155502 on OpenAlexaff
S Harikrishnan, Krishnakumar Nair

Bibliographic record

VenueClinical Cardiology · 2012
Typeletter
Languageen
FieldMedicine
TopicCardiac Valve Diseases and Treatments
Canadian institutionsUniversity Health Network
Fundersnot available
KeywordsMedicineCardiologyInternal medicineMitral valve replacementMitral regurgitationMitral valveRestenosisPercutaneousAtrial fibrillationMitral valve stenosisBalloonStent

Abstract

fetched live from OpenAlex

Response to Repeat Percutaneous Balloon Mitral Valvotomy vs. Mitral Valve Replacement in Patients with Restenosis after Previous Balloon Mitral Valvotomy and Unfavorable Valve Characteristics Aslanabadi N et al. Clin Cardiol. 2011;34:401–406. To the Editor: We read with great interest the report by Aslanabadi et al published in the Clinical Investigations section of this journal.1. We have some comments to make. The two groups were not randomized. Clearly, patients in the mitral valve replacement (MVR) group were sicker. They were older, with a higher New York Heart Association-Functional Class mitral valve area, mitral regurgitation grade, and pulmonary artery systolic pressure, as well as a higher prevalence of atrial fibrillation and lower left ventricular function, although left atrial sizes and pressures, echo scores, and transvalvular gradients were similar between the groups. In addition, criteria for choosing MVR or repeating percutaneous balloon mitral valvotomy (re-PBMV) in these patients were “at the discretion of the attending physician and patient preference.” As such, it is not surprising that the 10-year survival was significantly higher in re-PBMV vs MVR (96% vs 72.7%, respectively, (P < 0.05) in this study. Having said this, in today's day and age it would be difficult to randomize patients to these 2 treatment modalities. Although we have shown in a previous study2. that in univariate analysis the major predictor of successful balloon mitral valvotomy for mitral restenosis was Wilkins score, we agree with the authors that the Wilkins score itself may not always be a very robust predictor of events after mitral valve procedures. In fact, we feel that practically, bicommissural calcium and the presence of severe mitral regurgitation are the only real contraindications for balloon mitral valvotomy. In a previous study, long-term outcome of patients with unilateral commissural calcification receiving balloon mitral commissurotomy showed no significant difference as compared to those with an absence of commissural calcification.3. We are curious to know what percentage of patients in either group had unicommissural or bicommissural calcium in this study. In addition, we believe that mitral restenosis is itself a heterogeneous condition, and the treatment response depends on whether the restenosis followed prior balloon mitral valvotomy or prior closed mitral valvotomy. In a recent paper,2. we had shown that following balloon mitral valvotomy for mitral restenosis, patients with prior balloon mitral valvotomy were found to have lesser event rates on follow-up compared to patients with prior closed mitral valvotomy, although procedural success rates are similar. We invite the authors' response to these comments.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesMeta-epidemiology (narrow), Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.092
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0050.010
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0020.003
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 head0.016
GPT teacher head0.313
Teacher spread0.297 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2012
Admission routes1
Has abstractyes

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