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Record W4287832405 · doi:10.1002/jgc4.1618

Danish heritable retinoblastoma survivors' perspectives on reproductive choices: “It's important for me, not to pass on this condition”

2022· article· en· W4287832405 on OpenAlexfundno aff
Pernille Axél Gregersen, Mikkel Funding, Jan Alsner, Maja Halgren Olsen, Jens Overgaard, Steen F. Urbak, Sandra E. Staffieri, Stina Lou

Bibliographic record

VenueJournal of Genetic Counseling · 2022
Typearticle
Languageen
FieldMedicine
TopicPrenatal Screening and Diagnostics
Canadian institutionsnot available
FundersRegion MidtjyllandState Government of VictoriaBørnecancerfondenHealth Research Foundation
KeywordsRetinoblastomaGenetic counselingFeelingThematic analysisPsychosocialPsychologySurvivorship curveDanishPregnancyFertilityDevelopmental psychologyMedicineClinical psychologyQualitative researchPsychiatrySocial psychologyPopulationGeneticsBiology

Abstract

fetched live from OpenAlex

Despite reporting an overall normal life, survivors of heritable retinoblastoma face numerous physical and psychosocial issues. In particular, reproductive decision-making is often complex and difficult. This study aims to examine survivors' reflections on passing on heritable retinoblastoma to their children, how survivors approach their reproductive choices, and how the healthcare system can optimize counseling and support. Semi-structured interviews with Danish adult survivors of heritable retinoblastoma were qualitatively analyzed to explore their experiences. Participants were recruited from the Retinoblastoma Survivorship Clinic, Aarhus University Hospital, Denmark. Thematic data analysis was conducted followed by a condensing process specifically for the subthemes relating to reproductive choices. A common subtheme for all participants was a strong wish to avoid passing on retinoblastoma to their children. The participants emphasized the various medical, practical, emotional, and moral issues impacting their final reproductive choice in the process of family planning to conceive a child unaffected by retinoblastoma. Some had no option other than to conceive naturally and hope for an unaffected baby; while others weighed the pros and cons of choosing natural conception with prenatal testing and then considering termination of pregnancy (in case of an affected fetus) versus choosing fertility treatment with preimplantation genetic testing to achieve an unaffected pregnancy. Several participants underlined the complexity of their decisions, and also expressed feelings of guilt, both toward their affected child, and guilt for putting their partner through many difficult decisions and obstacles due to their genetic condition. Our findings demonstrate how one family-planning decision is not unequivocally "better" or easier than another. Healthcare professionals must provide the necessary information and tools to support the individual's unique decision-making process. Survivors' autonomy and individual needs, as well as the numerous and diverse aspects of heritable retinoblastoma, should be carefully considered.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.135
Threshold uncertainty score0.663

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.017
GPT teacher head0.292
Teacher spread0.275 · 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.

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

Citations8
Published2022
Admission routes1
Has abstractyes

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