Outcomes of patients with metastatic renal cell carcinoma (mRCC) treated with first-line Immuno-oncology (IO) agents who do not meet eligibility criteria for clinical trials.
Bibliographic record
Abstract
5070 Background: IO combination therapies [including IOIO and IO/vascular endothelial growth factor inhibitor (IOVE) combinations] in mRCC have been approved based on registration clinical trials that have strict eligibility criteria. The clinical outcomes of trial ineligible patients who are treated with first-line IOIO or IOVE combinations are unknown. Methods: Metastatic RCC patients treated with first-line IOIO or IOVE were retrospectively deemed ineligible for clinical trials (according to commonly used inclusion/exclusion criteria in IO trials) if they had a Karnofsky performance status (KPS) < 70%, no clear-cell component, brain metastases, hemoglobin (Hb) < 9 g/dL, eGFR < 40 mL/min, platelet count of < 100,000/mm3, and/or neutrophil count < 1500/mm3. Time to treatment failure (TTF) and overall survival (OS) were calculated from time of starting first-line IO therapy. Results: Overall, 26% (155/592) of patients in the International mRCC Database Consortium (IMDC) were deemed ineligible for clinical trials by the above criteria. Baseline characteristics are listed in Table. The reasons for ineligibility were: no clear-cell component (34%, 53/155), Hb < 9g/dL (28%, 44/155), eGFR < 40 mL/min (19%, 30/155), brain metastases (19%, 29/155), KPS < 70% (14%, 21/155), platelet < 100,000/mm3 (3%, 4/155) and neutrophil count < 1500/mm3 (0%, 0/155). Between ineligible versus eligible patients, the response rate, median TTF and median OS of first-line IOIO or IOVE was 34% vs 46% (p = 0.02), 4.2 vs 9.7 months (p < 0.01), and 25.3 vs 44.4 months (p < 0.01), respectively. When adjusted by the IMDC prognostic categories, the HR for death between trial ineligible and trial eligible patients was 1.50 (95% CI 1.05-2.14). Conclusions: The number of patients that are ineligible for clinical trials is substantial and their outcomes are inferior. These data may guide patient counselling and specific trials addressing the unmet needs of protocol ineligible patients are warranted. [Table: see text]
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".