Pushing the Limits
Bibliographic record
Abstract
CASE SUMMARY: A 77-year-old man with a history of ischemic cardiomyopathy and apical aneurysm presented with a ventricular tachycardia (VT) storm that was refractory to multiple antiarrhythmic drugs. Transthoracic echocardiography revealed left ventricular ejection fraction of 15% and a well-defined layered thrombus. After discussing risks and benefits, the patient underwent VT ablation guided by intracardiac echocardiography. Electroanatomic mapping localized the critical VT isthmus to the middle portion of the ischemic scar. Clinical VT was successfully suppressed with ablation, and the patient was discharged with no acute complications. DISCUSSION: VT ablation in the presence of an intracavitary thrombus is an uncommon procedure due to the potential risk of thromboembolic events. Most reports in the literature consist of isolated cases or small case series. However, advancements in technology-specifically the use of intracardiac echocardiography and high-definition mapping systems-have expanded the possibilities for VT ablation. This approach offers a lifesaving alternative for patients experiencing VT storm that is unresponsive to traditional treatments.
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 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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.007 | 0.006 |
| Insufficient payload (model declined to judge) | 0.007 | 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".