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Record W1975833718 · doi:10.5737/1181912x173133136

Effectiveness of a nursing support program for patients with recurrent ovarian cancer receiving pegylated liposomal doxorubicin (Caelyx®/Doxil®)

2007· article· en· W1975833718 on OpenAlexaffvenueabout
N. Grenier, V. Lebel, Mike Gill, Thomas D. Mullen, K. Mitchenson, K. Sebborn, Jean‐François Pouliot

Bibliographic record

VenueCanadian Oncology Nursing Journal · 2007
Typearticle
Languageen
FieldMedicine
TopicOvarian cancer diagnosis and treatment
Canadian institutionsJuravinski Cancer CentreRoyal Victoria Regional Health CentreHôpital Notre-Dame
Fundersnot available
KeywordsMedicineTolerabilityDiscontinuationOvarian cancerMucositisChemotherapyInternal medicineOncologyCancerAdverse effect

Abstract

fetched live from OpenAlex

Pegylated liposomal doxorubicin (PLD) has become the preferred alternative for ovarian cancer patients who have failed platinum-based therapy, but side effects, such as palmar-plantar erythrodysesthesia (PPE), may lead to sub-optimal drug exposure and treatment discontinuation. A prospective Canadian multicentre open-label study evaluated the effects of a nurse-administered education and support program on treatment adherence and tolerability in 112 women with recurrent ovarian cancer. Subjects received an average of four four-week PLD cycles, the recommended number of courses required to evaluate the efficacy from PLD. Side effects were common, but 75% of patients were able to complete > 3 cycles and 59% completed > 4 cycles of PLD chemotherapy. With proactive nursing intervention, the incidence of PLD-associated grade three-four toxicities such as PPE and mucositis was substantially decreased. Nursing intervention may allow more patients to receive chemotherapy on schedule, thus reproducing the conditions of the clinical study in which the efficacy of the drug has been established.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.809
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.019
GPT teacher head0.356
Teacher spread0.336 · 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

Citations3
Published2007
Admission routes3
Has abstractyes

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