Terminal illness and access to Phase 1 experimental agents, surgeries and devices: reviewing the ethical arguments
Bibliographic record
Abstract
BACKGROUND: The advent of AIDS brought about a group of patients unwilling to accept crucial aspects of the methodological standards for clinical research investigating Phase 1 drugs, surgeries or devices. Their arguments against placebo controls in trials, which depended--at the time--on the terminal status of patient volunteers led to a renewed discussion of the ethics of denying patients with catastrophic illnesses access to last-chance experimental drugs, surgeries or devices. SOURCES OF DATA: Existing ethics and health policy literature on the topic of access to experimental drugs. AREAS OF AGREEMENT: The positions of those arguing for or against free access to experimental drugs for terminally ill patients are irreconcilable. AREAS OF CONTROVERSY: At stake are questions about the kinds of personal sacrifices society can reasonably expect patients in clinical trials to make to ensure statistically predictive results. These would benefit by necessity a much larger number of current and future patients--the conflict is about individual versus public interests. It is also about the question of whether or not the state can legitimately prevent patients with terminal illnesses from unfettered access to experimental drugs, surgeries or devices in order to motivate them to participate in clinical trials. We review the ethical arguments for and against the provision of access to Phase 1 agents for terminally ill patients. GROWING POINTS: Finding a compromise between providing free or no access to Phase 1 drugs for terminally ill patients. AREAS TIMELY FOR DEVELOPING RESEARCH: We ought to investigate means to increase access to experimental drugs for terminally ill patients without sacrificing necessary clinical trials' sounds scientific methods.
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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 | 0.050 | 0.129 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.003 | 0.014 |
| Scholarly communication | 0.008 | 0.009 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.012 | 0.012 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".