Negative predictive value of multiplane transesophageal echocardiography in the diagnosis of infective endocarditis
Bibliographic record
Abstract
BACKGROUND: The clinical implications of a negative multiplane transesophageal echocardiography (TEE) have not yet been reported. We aim to determine the negative predictive value (NPV) of a negative multiplane TEE in patients with suspected infective endocarditis (IE). METHODS AND RESULTS: We identified 83 consecutive patients with suspected IE and negative multiplane TEE from our echocardiographic database. Of 74 patients with a minimum of 1-month follow-up, only 1 patient developed "definite IE". Eight patients had "possible IE". The calculated NPV of multiplane TEE in IE was 98.6% if we only considered the case of "definite IE". If we assumed that all patients with "possible IE" had the disease, then the NPV of multiplane TEE was 87.8%. CONCLUSIONS: Multiplane TEE is a highly accurate diagnostic tool with excellent NPV in IE. However, in a highly suspicious clinical setting for IE, a repeat TEE is still recommended to assess evolving echocardiographic features.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.003 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".