Management of Echocardiography Requests for the Detection and Follow‐Up of Heart Valve Disease: A Consensus Statement From the British Heart Valve Society
Bibliographic record
Abstract
BACKGROUND: In the aftermath of the Covid19 pandemic and lockdowns, there has been a growing population awaiting transthoracic echocardiograms for potential valvular heart disease. Conducting comprehensive echocardiograms for all individuals may no longer be practical, leading to substantial delays in obtaining the necessary scans. This paper explores an alternative approach, suggesting the consideration of dedicated and shorter scans specifically for patients suspected of having valvular heart disease. HYPOTHESIS: To address the increasing waiting times and improve heart valve disease detection, the British Heart Valve Society recommends a tiered approach to echocardiograms. METHODS: This approach includes basic/level 1, focused, minimum standard, and disease-specific scans. Urgency recommendations vary, with individuals experiencing exertional chest pain or pre-syncope requiring prompt scanning within 2 weeks, ideally at a valve clinic. RESULTS: Patients without known valve disease but with a murmur and stable breathlessness should be scanned as soon as possible, within a maximum of 6 weeks, balancing local demand and capacity. For those with an asymptomatic murmur and no prior scan, a basic/level 1 study is recommended to triage the necessity for a minimum standard study. Emphasizing appropriate triage for all requests, the statement guides decisions on the necessity for echocardiography, urgency level, and the required scan type. CONCLUSION: This practical Consensus Statement from the British Heart Valve Society aims to support appropriate shorter transthoracic echocardiography for patients referred for suspected valvular heart disease. The goal is to enhance capacity in a secure manner, thereby minimizing the risks associated with delays in obtaining timely scans.
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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 | 0.045 | 0.066 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.008 | 0.007 |
| Research integrity | 0.018 | 0.017 |
| Insufficient payload (model declined to judge) | 0.004 | 0.004 |
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".