Preoperative focused echocardiography on patients with fractured neck of femur. ECHONOF-III trial: study protocol for a multicenter randomized controlled trial
Bibliographic record
Abstract
BACKGROUND: Hip fractures are common in older people and are associated with high perioperative mortality. Prompt surgical intervention within the first 48 h of fraction reduces complications; however, surgical urgency often precludes a comprehensive preoperative cardiac evaluation. Preliminary data suggests that performing a focused cardiac ultrasound (FCU) before surgery may reduce postoperative complications. We therefore propose to test the primary hypothesis that FCU reduces a 30-day composite of mortality and serious complications. METHODS: We plan a definitive multicenter pragmatic randomized trial that will enroll 2000 adults with hip fractures. Participants will be randomized before surgery to either receive FCU as part of their preoperative assessment or to routine care without FCU. FCU is a brief, 10-min, goal-directed echocardiography performed at the patient's bedside. FCU will be conducted by physicians trained in FCU and the information gathered will be shared immediately with all clinicians involved in the patient's care (anesthesiologists, orthopedic surgeons, geriatricians). The primary outcome will be a 30-day composite of all-cause mortality, hospital readmission, acute kidney injury, cardiac failure, and myocardial injury after noncardiac surgery. Secondary and exploratory outcomes include hospital length of stay, days to return to original residence, postoperative recovery, and quality of life. Additionally, a health cost analysis will be conducted to weigh costs against benefits. DISCUSSION: Our large RCT aims to determine whether preoperative focused ultrasound examinations of hip fracture patients reduce serious postoperative complications, improves the quality of recovery, improves life quality, and is cost-effective. TRIAL REGISTRATION: Registration number: ACTRN12622001546741. Date registered 14/12/2022.
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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 | 0.006 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.007 | 0.002 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".