Assessment of Food and Drug Administration– and European Medicines Agency–Approved Systemic Oncology Therapies and Clinically Meaningful Improvements in Quality of Life
Bibliographic record
Abstract
Importance: For patients with cancer treated with palliative intent, quality of life (QOL) is a critical aspect of treatment decision-making, alongside survival. However, regulatory approval can be based solely on survival measures or antitumor activities, without QOL evidence. Objective: To investigate whether recently approved oncology therapies demonstrate clinically meaningful improvements in QOL. Evidence Review: This systematic review study identified oncology drug indications approved by the US Food and Drug Administration (FDA) and European Medicines Agency (EMA) from January 2006 to December 2017 and supporting clinical trials (QOL publications identified to October 2019). Indications were evaluated for the presence of published QOL evidence; QOL benefits according to the American Society of Clinical Oncology Value Framework version 2.0 (ASCO-VF) and European Society of Medical Oncology Magnitude of Clinical Benefit Scale version 1.1 (ESMO-MCBS) QOL bonus criteria; and clinically meaningful improvements in QOL beyond minimal clinically important differences. Hematology trials were not evaluated by ESMO-MCBS. Associations between QOL evidence and approval year were examined using logistic regression models. Findings: In total, 214 FDA-approved (77 [36%] hematological) and 170 EMA-approved (52 [31%] hematological) indications were included. QOL evidence was published for 40% and 58% of FDA- and EMA-approved indications, respectively. QOL bonus criterion for ASCO-VF and ESMO-MCBS was met in 13% and 17% of FDA-approved and 21% and 24% of EMA-approved indications, respectively. Clinically meaningful improvements in QOL beyond minimal clinically important differences were noted in 6% and 11% of FDA- and EMA-approved indications, respectively. Availability of published QOL evidence at the time of approval increased over time for EMA (odds ratio [OR], 1.13; P = .03), however not for FDA (OR, 1.10; P = .12). Over time, no increase in awarded QOL bonuses or clinically meaningful improvements in QOL were found. Conclusions and Relevance: The findings of this systematic review suggest that approved systemic oncology therapies often do not have published evidence to suggest QOL improvement, despite its recognized importance. Of indications with evidence of statistical improvement, few have demonstrated clinically meaningful improvements.
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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 | 0.021 | 0.068 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.006 |
| Bibliometrics | 0.007 | 0.008 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".