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Record W112550084

Watching the watchdogs: negligence, liability, and research ethics boards.

2003· article· en· W112550084 on OpenAlexaffabout
Jennifer Gold

Bibliographic record

VenuePubMed · 2003
Typearticle
Languageen
FieldMedicine
TopicEthics in Clinical Research
Canadian institutionsMcGill University
Fundersnot available
KeywordsComplaintLiabilityClinical trialLawLegal liabilityMedicineBioethicsPolitical sciencePsychologyPathology
DOInot available

Abstract

fetched live from OpenAlex

Introduction Recent high profile incidents involving the death or injury of individuals participating in medical research projects have shaken confidence in the protections afforded human subjects of biomedical (1) In 1999, 18 year old Jesse Gelsinger died while participating in a clinical trial conducted by the University of Pennsylvania Institute for Gene Therapy. Jesse suffered from a mild form of a rare metabolic disorder called ornithine transcarbamylase deficiency (OTC). The experiment involved the injection of genetic material into Jesse's bloodstream using a viral vector. This triggered multiple organ system failure, ultimately bringing about Jesse's untimely death. (2) It was later revealed that the investigator may have stood to benefit financially from this research. In the complaint filed by the Gelsinger family, it was alleged that the researchers involved had used a virus vector known to be more dangerous than other vectors, because they held patents on that particular virus. (3) Along with other, similar incidents the Gelsinger case has thrust the problems associated with the regulation of clinical research into the spotlight. Among the numerous difficult issues raised by these cases is the matter of the potential liability of the institutional research ethics board (REB) with respect to adverse outcomes of particular trials. Are there standards of care for REBs? What constitutes negligence on the part of an REB? What happens when there is a conflict of interest at any stage of the research approval process? This paper examines the issue of REB liability for negligence in detail. In Part I, I explain what an REB is, and what the regulatory structure for human subjects research is like in Canada. In Part II, I discuss the problems associated with REBs, such as conflict of interest, using recent cases as illustrations. I also provide an analysis of the nature of liability and tort law with respect to REBs--for example, issues of duty of care, standards, and causation--with reference to existing jurisprudence. In Part III, I consider the advantages and disadvantages of using the tort system as a means of dealing with REB negligence. Finally, I discuss the recent regulatory reform initiatives in both Canada and the US, and examine the various recommendations that have been set forth with respect to improving REB functioning and accountability. Part I: REBs and The Regulation of Clinical Research in Canada a) Regulation in Canada: The Historical Context Research involving human subjects has changed dramatically over the last half-century. (4) Evidence of appalling experiments on human beings conducted by the Nazis, together with other reports of gross misconduct from around the world, prompted the creation of ethical guidelines for research with human subjects. The first international document stipulating voluntariness and informed consent as prerequisites for medical research on human subjects was the Nuremberg Code, established in 1948. (5) This was followed by the World Medical Association's Declaration of Helsinki in 1964, which articulated that informed consent from research participants is obligatory, and that the risks of research should not exceed the benefits. (6) In 1974, largely in response to fallout from the Tuskegee Syphilis Study (7), the US government passed the National Research Act, which created the US National Commission for the Protection of Human Subjects of Biomedical and Behavioural Research. (8) In 1979, the Commission released the Belmont Report, which pronounced three guiding principles for research: respect for persons, beneficence, and justice. (9) The Nuremberg Code, the Declaration of Helsinki, and the Belmont Report are the foundations for most laws and standards governing the protection of human subjects in medical research, including those of Canada. b) Regulation in Canada: Different Schemes for Different Jurisdictions While a more cohesive regulatory structure for research is currently under development, medical research involving human subjects in Canada is currently regulated differently across different jurisdictions due to the constitutional allocation of matters of health care, and property and civil rights to the provinces. …

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.056
metaresearch head score (Gemma)0.133
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Research integrity
Consensus categoriesnone
DomainCandidate signal: Evaluation · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.956
Threshold uncertainty score0.297

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0560.133
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0150.035
Scholarly communication0.0140.013
Open science0.0020.010
Research integrity0.0440.021
Insufficient payload (model declined to judge)0.0100.001

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.

Opus teacher head0.741
GPT teacher head0.601
Teacher spread0.140 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designTheoretical or conceptual
DomainEvaluation
GenreCommentary

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".

Quick stats

Citations10
Published2003
Admission routes2
Has abstractyes

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