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Record W27276911

Minimal risk in the Tri-Council Policy Statement.

2007· article· en· W27276911 on OpenAlexaffabout
Lynette Reid, Timothy Krahn

Bibliographic record

VenuePubMed · 2007
Typearticle
Languageen
FieldMedicine
TopicBiomedical Ethics and Regulation
Canadian institutionsDalhousie University
Fundersnot available
KeywordsStatement (logic)MedicineNeurosurgeryPopulationSurgeryGeneral surgeryPolitical scienceLaw
DOInot available

Abstract

fetched live from OpenAlex

Scenario 1: An oncology researcher approaches the Research Ethics Board (REB) office of a Canadian institution to request guidance on an REB submission. researcher, a neurosurgeon, intends to take part in a multi-centre trial of a new agent for the treatment of the intractable and fatal condition Glioblastoma Multiforme (GBM), a brain cancer for which currently available surgical, radiographic and chemotherapeutic approaches increase mean survival rimes to only 12-14 months. experimental procedure involves implanting a device to deliver existing chemotherapeutic agents in a novel fashion; this implantation would take place during the surgical excision of the tumour in open-brain surgery, a treatment option that patients with GBM almost universally accept. researcher points to Section C.1 of the Tri-Council Policy Statement and claims that his research project needs no more than expedited review. The patients are all going to undergo brain surgery and chemotherapy anyway; clearly the risks involved in this procedure are as they are within the risks of daily living for people with GBM for whom undergoing brain surgery is normal--and that's how the Tri-Council Policy Statement defines minimal risk'. A month later, another neurosurgeon at the institution approaches the REB office with a research study for the same population: his procedure specifically targets the tumour as it reappears after initial treatment, and involves stereotactic surgery, which as a neurosurgical procedure is safer than the original surgery to excise the tumour. He points to the same Section C.I of the Tri-Council Policy Statement and argues that his research proposal should receive expedited review; after all the procedure is even safer than the craniotomy that such patients have already undergone, and the disease itself carries universal extreme morbidity and, for the patients eligible for his study, a very high likelihood of death within a matter of weeks or months. Hence, relative to the condition itself and the ordinary course of its treatment, the risks of his stereotactic surgery are well below the risks such patients face in the course of their lives. Scenario 2: A stem cell researcher approaches the REB office with a research protocol for an experimental neurosurgical intervention for the rare (and uniformly fatal) genetic condition called Batten disease. Children would undergo stereotactic brain surgery to implant neural fetal stem cells that are expected to provide the appropriate enzymatic activity to counteract the disease. researcher is puzzled as to the correct interpretation of the restrictions the Tri-Council Policy Statement places on risk in research with children. The Tri-Council Policy Statement says I can only do non-therapeutic research with children that exposes them to risk--I looked up Section C1 on risk in order to understand what this restriction in Article 2.5(c) amounts to. That section seems to suggest that what I'm doing is risk, because these patients already live with significant risk. But we've never implanted fetal neural stem cells into children s brains before--or adults, for that matter. risks are significant indeed. When I looked at the Tri-Council definition, it seems to me that perhaps we've been far too cautious about our research all along. If your REB office just consults their risks of daily living--well, these are virtually certain death within a couple of years, even with out best medical care. There are much riskier procedures that fall within that range that I can take straight to human trials without so much time-consuming pre-clinical work with animal models! (1) How should a Canadian REB office respond to each researcher? Should it offer expedited review to the experimental neurosurgical procedures of Scenario 1? Does reference to the guiding ethical principle of Minimizing Harm (Context of an Ethics Framework (C)) answer the question of the researcher in Scenario 2? …

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)0.076
metaresearch head score (Gemma)0.154
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.981
Threshold uncertainty score0.400

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0760.154
Meta-epidemiology (narrow)0.0020.003
Meta-epidemiology (broad)0.0020.004
Bibliometrics0.0020.002
Science and technology studies0.0130.011
Scholarly communication0.0200.012
Open science0.0090.009
Research integrity0.1340.064
Insufficient payload (model declined to judge)0.0330.033

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 head0.075
GPT teacher head0.304
Teacher spread0.230 · 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 designNot applicable
DomainMethods
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

Citations7
Published2007
Admission routes2
Has abstractyes

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