MétaCan
Menu
Back to cohort
Record W2903459568 · doi:10.2196/10463

Fertility Preservation in Children and Adolescents With Cancer: Pilot of a Decision Aid for Parents of Children and Adolescents With Cancer

2018· article· en· W2903459568 on OpenAlexvenueno aff
Catherine Allingham, Lynn Gillam, Maria McCarthy, Margaret Zacharin, Sadunee Jayasuriya, Yves Héloury, Lisa Orme, Michael Sullivan, Michelle Peate, Yasmin Jayasinghe

Bibliographic record

VenueJMIR Pediatrics and Parenting · 2018
Typearticle
Languageen
FieldMedicine
TopicReproductive Biology and Fertility
Canadian institutionsnot available
FundersNational Health and Medical Research CouncilMedical Research CouncilNational Breast Cancer Foundation
KeywordsRegretFertility preservationFertilityMedicineUsabilityFamily medicineScale (ratio)InfertilityClinical psychologyGynecologyPopulationEnvironmental healthPregnancy

Abstract

fetched live from OpenAlex

BACKGROUND: Future infertility is a significant concern for survivors of childhood and adolescent cancer. Children and adolescents may have the opportunity to undergo fertility preservation (FP) procedures (which preserve gonadal tissue or gametes for future use) prior to the cancer treatment. However, the decision is very complex, as it is often made by parents as proxy decision makers at the time of cancer diagnosis, and is time-sensitive (needing to occur before the cancer treatment begins). Furthermore, FP procedures in children and adolescents are experimental and cannot guarantee future fertility. An uninformed decision may result in future decision regret. OBJECTIVE: This study aimed to assess the acceptability, usability, and feasibility of a Web-based FP decision aid (DA) in parents of children and adolescents with cancer and clinicians. Fertility knowledge and decision regret were compared in families who reviewed the DA compared with those who did not. METHODS: The Web-based DA was developed according to the International Patient Decision Aid Standards. A cross-sectional study of parents of patients with cancer, who discussed fertility, and clinicians at a tertiary children's hospital was undertaken. The acceptability, usability, and feasibility of the DA were assessed using a pre-post survey design. Measures included the validated Decision Regret Scale, a purpose-designed fertility-related knowledge scale, questions regarding satisfaction with the DA, and open-ended responses for additional feedback. Furthermore, clinicians involved in FP were also invited to review the DA. RESULTS: We enrolled 34 parents and 11 clinicians in this study. Participants who reviewed the DA (15 parents and 11 clinicians) expressed satisfaction with its content and functionality. Parents reported an improved understanding of cancer treatments, infertility, and FP procedures and did not report greater decision regret after DA review. Most parents (13/15, 86%) would recommend the DA to other parents. All clinicians had a consensus that this was a valid and relevant information source for all involved in fertility care. CONCLUSIONS: It is an international standard of care to discuss the impact of cancer treatment on fertility before cancer treatment. This is the first fertility DA for parents of children and adolescents with cancer and is found to be relevant and acceptable by parents and clinicians. This DA has the potential to help support parents to make informed fertility-related decisions for their children and adolescents. However, future research is needed to assess the impact of the DA on prospective decision making.

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)0.006
metaresearch head score (Gemma)0.015
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 score0.006
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.021
GPT teacher head0.300
Teacher spread0.279 · 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

Citations44
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueJMIR Pediatrics and ParentingSame topicReproductive Biology and FertilityFrench-language works237,207