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Record W2080770449 · doi:10.1177/1043454207311742

An Exploratory Survey of Nurses' Perceptions of Phase I Clinical Trials in Pediatric Oncology

2008· article· en· W2080770449 on OpenAlexaff
Ann Chang

Bibliographic record

VenueJournal of Pediatric Oncology Nursing · 2008
Typearticle
Languageen
FieldMedicine
TopicEthics in Clinical Research
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsMedicinePerceptionExploratory researchClinical trialNursingFamily medicineOncology nursingPediatric oncologyNurse educationPsychologyInternal medicineCancer

Abstract

fetched live from OpenAlex

This study suggests that nurses' perceptions of pediatric oncology phase I clinical trials are diverse and mixed but are more likely to be positive than negative. Improving future treatments, medical benefit, improved quality of life, and hope were cited as potential benefits of phase I clinical trials, but nurses felt that families were hoping for a cure. Toxicities, false hope, and decreased quality of life were perceived as potential negative outcomes. Acting as a patient advocate was viewed as the most important nursing role, and providing information was identified to be the most important purpose of informed consent. Although not statistically significant, data suggest that age, experience, and practice setting may influence nurses' perceptions. Younger or less experienced nurses were more likely to report either positive or negative perceptions, whereas older or more experienced nurses expressed mixed or moderate perceptions. Inpatient nurses reported more negative perceptions compared with outpatient nurses. The respondents report that caring for patients on phase I had both positive and negative effects on their quality of nursing work life.

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)0.096
metaresearch head score (Gemma)0.134
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Research integrity
Consensus categoriesMetaresearch, Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.069
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0960.134
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0020.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0020.005
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 head0.723
GPT teacher head0.703
Teacher spread0.020 · 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

Citations16
Published2008
Admission routes1
Has abstractyes

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