Advancing the Contemporary Multidisciplinary Heart Valve Team: Update on Priorities for Clinicians and Programs
Bibliographic record
Abstract
The multidisciplinary heart team (MDT) has been foundational to the rapid advancement of treatment options for valvular heart disease (VHD). Initially designed to guide treatment decisions for patients with aortic stenosis and procedural success of transcatheter aortic valve implantation, the MDT was intended to provide a responsive mechanism to meet the needs of patients and programs. Some of the unintended consequences of guideline endorsement and regulatory requirements have diminished the perceived value and threatened the engagement of team members. To maintain its impact, the VHD MDT must evolve to reflect contemporary priorities. For patients with aortic stenosis, the concept of the MDT must expand to address the significant barriers to timely detection, diagnosis, and referral and leverage its expertise to increase program capacity to accelerate access to care. The comprehensive mitral and tricuspid valve clinical pathway is in its infancy. For this patient group, the membership of the core MDT must be strengthened by the addition of expertise to support imaging diagnostics and procedural guidance, specialty team members who can guide the individualized clinical management of complex VHD, enhanced coordination of care and patient-centered processes, and consideration of unanswered clinical concerns. A recalibrated perspective on the key principles guiding the MDT for clinicians and programs offers opportunities to make the most of lessons learned by promoting quality of care and building a VHD collective and culture that can meet patients' needs along their journey of care while prioritizing a nimble, tailored, efficient, and high-impact approach.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.015 | 0.034 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.008 | 0.009 |
| Open science | 0.004 | 0.007 |
| Research integrity | 0.008 | 0.011 |
| Insufficient payload (model declined to judge) | 0.008 | 0.003 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".