Clinical benefit of immune checkpoint inhibitors approved by US Food and Drug Administration
Bibliographic record
Abstract
BACKGROUND: We describe the clinical benefit of immune checkpoint inhibitors using the European Society for Medical Oncology Magnitude of Clinical Benefit Scale (ESMO-MCBS) and ASCO VF. METHODS: We identify all approved indications of immune checkpoint inhibitors based on RCTs between January 1, 2011 and September 30, 2018 by FDA. Information including medians and HR of OS (PFS or DFS) and 95% CI, grade 3 or 4 toxicities in each arm, QOL data, survival probability at fixed time were extracted. RESULTS: Immune checkpoint inhibitors were approved for 18 indications based on RCTs. All the indications meet the ESMO-MCBS 1.1 threshold for meaningful benefit. By the updated ASCO-VF, the median Net Health Benefit (NHB) of these agents was 55.3 (range 17.4-77.1). Two third of the indication gained the bonus points for durable survival benefits by updated ASCO VF. When updated results were incorporated in the assessment, clinical benefit of most approved immune checkpoint inhibitors increased with a median improvement of NHB of 10 (range 2-20). CONCLUSIONS: Approved immune checkpoint inhibitors provided clinical meaningful benefit by ESMO-MCBS 1.1, and most of these agents reach the threshold for bonus points for durable survival in the updated ASCO VF.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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".