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Record W1576653783 · doi:10.1186/cc2822

The ethical analysis of risk in intensive care unit research.

2004· editorial· en· W1576653783 on OpenAlexafffund
Charles Weijer

Bibliographic record

VenueCritical Care · 2004
Typeeditorial
Languageen
FieldMedicine
TopicEthics in Clinical Research
Canadian institutionsDalhousie University
FundersCanadian Institutes of Health Research
KeywordsClinical equipoiseMedicineInformed consentIntensive care unitPsychological interventionClinical trialClinical researchIntensive care medicineUnit (ring theory)PopulationRisk assessmentResearch ethicsRisk analysis (engineering)Alternative medicineNursingPsychiatryPsychologyPathologyEnvironmental health

Abstract

fetched live from OpenAlex

Research in the intensive care unit (ICU) is commonly thought to pose 'serious risk' to study participants. This perception may be at the root of a variety of impediments to the conduct of clinical trials in the ICU setting. Component analysis offers a promising approach to the ethical analysis of ICU research. Because clinical trials commonly involve a mixture of study interventions, therapeutic and nontherapeutic procedures must be analyzed separately. Therapeutic procedures must meet the requirement of clinical equipoise. Risks associated with nontherapeutic procedures must be minimized consistent with sound scientific design, and be deemed reasonable in relation to the knowledge to be gained. When research involves a vulnerable population, such as adults incapable of providing informed consent, nontherapeutic risks are limited to a minor increase over minimal risk. Understood in this way, the incremental risk posed by participation in ICU research may be minimal. This realization has important implications for review by institutional review boards of such research and for the informed consent process.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.011
metaresearch head score (Gemma)0.854
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Research integrity
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.844
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.854
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.003
Science and technology studies0.0000.006
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0080.055
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.458
GPT teacher head0.667
Teacher spread0.209 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEditorial

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

Citations19
Published2004
Admission routes2
Has abstractyes

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