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Attitudes Regarding Fertility Preservation in Female Adolescent Cancer Patients

2006· article· en· W2015252453 on OpenAlexaff
Karen Burns, Christian Boudreau, Julie A. Panepinto

Bibliographic record

VenueJournal of Pediatric Hematology/Oncology · 2006
Typearticle
Languageen
FieldMedicine
TopicReproductive Biology and Fertility
Canadian institutionsUniversity of WaterlooActua
Fundersnot available
KeywordsFertility preservationFertilityMedicineInfertilityFamily medicineCross-sectional studyCancerGynecologyPregnancyPopulationEnvironmental healthInternal medicine

Abstract

fetched live from OpenAlex

Infertility is a devastating side effect of cancer treatment. Advances in fertility research have brought new preservation techniques to the forefront for women. The implication of this research in the field of pediatric oncology has not been reported. The objective of this study was to determine whether female adolescents with a diagnosis of cancer and their parents were interested in trying to preserve fertility. We conducted a cross-sectional survey of female patients, aged 10 to 21 years, and their parents. There were 39 parent/adolescent pair responses, 3 parent-only responses, and 8 adolescent-only responses. We found that adolescents and parents had thought about the future and were interested in research treatments to help preserve fertility, but not willing to postpone cancer therapy. Achieving a state of good health was most important to the adolescent group (P<0.001). There was no statistical difference between attitudes of parents and adolescents. In summary, parents and female adolescents are interested in options to help preserve fertility during cancer treatments, but they are not willing to postpone treatment for this purpose.

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)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.038
GPT teacher head0.346
Teacher spread0.308 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations117
Published2006
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Pediatric Hematology/OncologySame topicReproductive Biology and FertilityFrench-language works237,207