Frailty Assessment for Risk prediction in Gynecologic Oncology patients undergoing surgery and chemotherapy (FARGO) study protocol: Rationale and design of a multi-centre prospective cohort study.
Bibliographic record
Abstract
BACKGROUND: There is considerable variability in how older adults with cancer tolerate and recover from surgery and systemic treatments. A greater understanding of individual trajectories is crucial in guiding personalized treatment decisions. Frailty may explain these inter-individual differences. Despite emerging evidence on the association between perioperative frailty assessment and outcomes after noncardiac surgery, there is limited data in gynecologic oncology. A perioperative cardiovascular risk assessment, recommended by scientific guidelines, is widely adopted in noncardiac surgery, often as the only standardized perioperative risk stratification approach. While based on robust evidence on the association with cardiovascular complications and overall mortality, it might be insufficient to predict other essential surgical, oncologic and patient-important outcomes. METHODS: The FARGO study is a multi-centre prospective cohort study targeting 280 patients aged 55 or older undergoing surgery, with or without chemotherapy, for a suspected or confirmed gynecologic malignancy. The primary objective is to evaluate the predictive value of the Frailty Phenotype measured preoperatively, compared with the currently used perioperative risk assessment (cardiovascular risk assessment based on the Revised Cardiac Risk Index, age, and occurrence of myocardial injury after non-cardiac surgery) in predicting the composite outcome of all-cause death or new disability at six months after surgery. Secondary objectives include comparing the predictive value of the Frailty Phenotype with that of the Clinical Frailty Scale; evaluating the performance of a preoperative frailty assessments on other postoperative complications, chemotherapy tolerance, and 1-year recurrence-free survival; exploring the added predictive value of a dynamic perioperative frailty assessment repeated 28 days after surgery; assessing the acceptability of frailty assessments by physicians and patients; and establishing a biobank to investigate frailty biomarkers. DISCUSSION: The findings could have important implications for risk stratification, planning and tailoring surgical and oncologic care for older adults with gynecologic malignancies. Our study emphasizes patient-centered outcomes and stakeholders' perspectives. Trial registration: Clinicaltrials.gov Identifier: NCT05738252.
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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 | 0.033 | 0.027 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.012 | 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".