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Record W2148970735 · doi:10.1215/15228517-2008-007

Patients' perception of the informed consent process for neurooncology clinical trials

2008· article· en· W2148970735 on OpenAlexafffund
Eva Knifed, Nir Lipsman, Warren Mason, Mark Bernstein

Bibliographic record

VenueNeuro-Oncology · 2008
Typearticle
Languageen
FieldMedicine
TopicEthics in Clinical Research
Canadian institutionsUniversity of TorontoPrincess Margaret Cancer CentreToronto Western HospitalUniversity Health Network
FundersCanadian Institutes of Health Research
KeywordsInformed consentClinical trialContext (archaeology)AutonomyQualitative researchMedicineSafeguardingResearch ethicsCoercion (linguistics)VoluntarinessDeceptionPsychologyAlternative medicineNursingSocial psychologyPsychiatry

Abstract

fetched live from OpenAlex

The informed consent process is a cornerstone of modern medical research. This study was conducted to explore the process in the context of neurooncology clinical trials. Qualitative methodology and analysis were used on open-ended, face-to-face interviews conducted with 21 patients. Six comprehensive themes emerged: (1) general understanding of the objectives and purpose of clinical trials was good, (2) recall of risks was low, (3) patients did not believe that their care would be compromised by forgoing the clinical trial, (4) patients felt participation was voluntary and free of coercion, (5) patients would not have withdrawn from the trial in the event of complications, and (6) patients were satisfied with the informed consent process. Informed consent is a dynamic process; when appropriately executed, it can be a powerful safeguard protecting patient autonomy. If sufficient time is allowed to deliberate participation and ample opportunity is provided for information sharing and disclosure, researchers can be confident that participants are knowledgeable about the trial and aware of their rights.

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)0.008
metaresearch head score (Gemma)0.428
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.419
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.428
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
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 head0.731
GPT teacher head0.661
Teacher spread0.070 · 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 teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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

Citations58
Published2008
Admission routes2
Has abstractyes

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