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Record W4406992608 · doi:10.1161/str.56.suppl_1.tmp39

Abstract TMP39: Feasibility Study of Advance Consent in Acute Stroke Trials: Preliminary Results

2025· article· en· W4406992608 on OpenAlexaffabout
Emma Cummings, Ubong Udoh, Brian Dewar, Rena Seeger, Dar Dowlatshahi, Michel Shamy

Bibliographic record

VenueStroke · 2025
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHealth Systems, Economic Evaluations, Quality of Life
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsMedicineStroke (engine)Acute strokeInformed consentClinical trialIntensive care medicineEmergency medicineInternal medicineAlternative medicinePathologyTissue plasminogen activator

Abstract

fetched live from OpenAlex

Obtaining consent for participation in acute stroke trials is particularly challenging due to the time pressure of delivering immediate treatment. As a result, patients are often not able to provide informed consent to participate in clinical trials. Modifications to standard consent practices such as deferral of consent , surrogate consent, or 2-physician consent can produce problems including violating patient autonomy, disadvantaging patients through their participation and biasing results. Alternatively, advance consent , in which patients at risk of stroke consent to participate in RCTs before they experience a stroke, could address these challenges. In this study, we assessed the acceptability of advance consent to people at risk of stroke. Methods: We approached patients deemed at risk of stroke in the Stroke Prevention Clinic of the Ottawa Hospital, a tertiary care facility in Ontario, Canada. Eligible patients were invited to complete a questionnaire regarding advance consent. Patients who responded positively to questions about advance consent were offered the opportunity to consent in advance to the EASI-TOC and/or FASTEST clinical trials. Results: We screened 1547 patients over a 1-year period (July 2023 – July 2024), of whom 431 (28%) were eligible to participate. Of the 431 eligible participants, 157 (36%) completed the initial questionnaire. Of these, 96% (151/157) either agreed or strongly agreed that inviting stroke patients to provide advance consent to participate in clinical research trials is appropriate. Further, 95% (149/157) of participants either agreed or strongly agreed that they would provide advance consent to specific acute stroke clinical research trials, and 69% (108/157) either agreed or strongly agreed that they would provide advance consent to all acute stroke research trials, whether or not they were given the details of the trial. Ultimately, 123 respondents were eligible to be offered advance consent, of whom 45 (37%) provided advance consent to participate in at least one ongoing trial. One participant (0.8%) specified in advance that they would not want to participate in these trials. Discussion: Preliminary results of this feasibility study show that patients were open to the idea of providing advance consent to participate in acute stroke research and a sizable portion of patients were willing to provide advance consent for ongoing trials.

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)0.270
metaresearch head score (Gemma)0.375
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.730
Threshold uncertainty score0.900

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.2700.375
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.004
Bibliometrics0.0020.003
Science and technology studies0.0010.003
Scholarly communication0.0030.006
Open science0.0020.004
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0260.005

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 head0.443
GPT teacher head0.502
Teacher spread0.059 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designObservational
DomainMethods
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

Citations0
Published2025
Admission routes2
Has abstractyes

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