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Record W2095646262 · doi:10.1200/jco.2012.45.2086

Recommendations for the Return of Research Results to Study Participants and Guardians: A Report From the Children's Oncology Group

2012· article· en· W2095646262 on OpenAlexaff
Conrad V. Fernandez, Kathleen S. Ruccione, Robert J. Wells, Jay B. Long, Wendy Pelletier, Mary C. Hooke, Rebecca D. Pentz, Robert B. Noll, Justin N. Baker, Maura O’Leary, Gregory H. Reaman, Peter C. Adamson, Steven Joffe

Bibliographic record

VenueJournal of Clinical Oncology · 2012
Typearticle
Languageen
FieldHealth Professions
TopicHealth Policy Implementation Science
Canadian institutionsAlberta Children's Hospital
FundersNational Cancer InstituteNational Institutes of HealthChildren’s Oncology Group
KeywordsVettingMedicineCogScope (computer science)Medical educationMultidisciplinary approachFamily medicine

Abstract

fetched live from OpenAlex

PURPOSE: The Children's Oncology Group (COG) strongly supports the widely recognized principle that research participants should be offered a summary of study results. The mechanism by which to do so in a cooperative research group setting has not been previously described. METHODS: On the basis of a review of the available empirical and theoretic literature and on iterative, multidisciplinary discussion, a COG Return of Results Task Force (RRTF) offered detailed recommendations for the return of results to research study participants. RESULTS: The RRTF established guidelines for the notification of research participants and/or their parents/guardians about the availability of research results, a mechanism for and timing of sharing results via registration on the COG public Web site, the scope of the research to be shared, the target audience, and a process for creating and vetting lay summaries of study results. The RRTF recognized the challenges in adequately conveying complex scientific results to audiences with varying levels of health literacy and recommended that particularly sensitive or complex results be returned using direct personal contact. The RRTF also recommended evaluation of the cost, effectiveness, and impact of sharing results. CONCLUSION: These recommendations provide a framework for the offering and returning of results to participants. They can be used by individual investigators, multi-investigator research collaboratives, and large cooperative groups.

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)0.145
metaresearch head score (Gemma)0.158
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.325
Threshold uncertainty score0.880

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.1450.158
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
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 head0.931
GPT teacher head0.815
Teacher spread0.116 · 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 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

Citations38
Published2012
Admission routes1
Has abstractyes

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