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Record W1636510328 · doi:10.1542/peds.2014-3402

Clinical Trial Decisions in Difficult Circumstances: Parental Consent Under Time Pressure

2015· article· en· W1636510328 on OpenAlexaff
Marijke C. Jansen‐van der Weide, Patrina Caldwell, Bridget Young, Martine C. de Vries, Dick L. Willems, William van’t Hoff, Kerry Woolfall, Johanna H. van der Lee, Martin Offringa

Bibliographic record

VenuePEDIATRICS · 2015
Typearticle
Languageen
FieldMedicine
TopicEthics and Legal Issues in Pediatric Healthcare
Canadian institutionsInstitute for Clinical Evaluative SciencesUniversity of Toronto
Fundersnot available
KeywordsInformed consentMedicinePsychological interventionParental consentCompromiseIntervention (counseling)Clinical trialFamily medicineNursingAlternative medicineLaw

Abstract

fetched live from OpenAlex

Treatments and interventions used to care for children in emergencies should be based on strong evidence. Well-designed clinical trials investigating these interventions for children are therefore indispensable. Parental informed consent is a key ethical requirement for the enrollment of children in such studies. However, if time is limited because of an urgent need for intervention, there are additional ethical challenges to adequately support the informed consent process. The acute situation and associated psychological impact may compromise the ability of parents to give informed consent. Little evidence exists to guide the process of consent seeking for a child's research participation when time is limited. It is also unclear in what circumstances alternatives to prospective informed consent could be applied. This article describes possible options to manage the informed consent process in an appropriate, practical, and, we believe, ethical way when time is limited.

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)0.510
metaresearch head score (Gemma)0.702
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.510
Threshold uncertainty score0.604

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.5100.702
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0030.003
Science and technology studies0.0060.025
Scholarly communication0.0130.022
Open science0.0060.010
Research integrity0.0360.029
Insufficient payload (model declined to judge)0.0060.004

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 head0.221
GPT teacher head0.465
Teacher spread0.245 · 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 designQualitative
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

Citations34
Published2015
Admission routes1
Has abstractyes

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