Geriatric pre-surgical optimization in the NCORP (Alliance).
Bibliographic record
Abstract
370 Background: Mounting evidence suggests tailored preparation targeting geriatric vulnerabilities can improve functional outcomes after major surgery in older adults. Although many surgeons express interest in surgical optimization of older patients, few practices have the time or expertise to deliver geriatric prehabilitation before surgery. This study investigated the effectiveness of OPTI-Surg, a frailty prehabilitation toolkit, for improving surgical outcomes. In this abstract, we report adherence to the OPTI-Surg toolkit in the intervention arm. Methods: Thoracic (T), gastrointestinal (GI), and urologic (GU) oncological surgery practices affiliated with NCI’s Community Oncology Research Program (NCORP) were randomized 1:1:1, stratified by practice type, to usual care (control), OPTI-Surg toolkit, or OPTI-Surg with an implementation coach. The toolkit was implemented at the practice level and consisted of the 12-item Edmonton Frail Scale (EFS) and guided recommendations for interventions including referrals directed at identified vulnerabilities. Eligible patients were ≥70 years old and undergoing curative intent surgery for T, Gl, or GU cancers. Results: From July 2019 to October 2021, 155 patients were enrolled in the OPTI-Surg intervention arm. The EFS was administered to 153 (98.7%) of the enrolled patients, 143 of whom went on to have surgery. Overall, 134 (93.7%) surgical patients had at least one deficit identified on the EFS assessment and 55 (41.0%) of these patients received a recommended referral intended to optimize surgical outcomes. Among the 55 patients who received referrals, 44 (80.0%) followed through on the referral. Individual deficit rates were highest for medication use, general health status, and functional performance, and referrals were most frequently made for deficits in continence and functional independence (Table). Conclusions: In the OPTI-Surg geriatric surgical optimization trial, implementation of the frailty screening with the EFS assessment was successful. Rates of recommended referrals for patients with identified deficits, however, were low. When referred, most patients followed through for targeted prehabilitation. Clinical trial information: NCT03857620 .[Table: see text]
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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".