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Record W4310127423 · doi:10.1182/blood-2022-156111

Sperm Banking in Post-Pubertal Males with Newly Diagnosed High-Risk ALL

2022· article· en· W4310127423 on OpenAlexaboutno aff
Jessica L. Feuerstein, Burton Appel

Bibliographic record

VenueBlood · 2022
Typearticle
Languageen
FieldMedicine
TopicChildhood Cancer Survivors' Quality of Life
Canadian institutionsnot available
Fundersnot available
KeywordsOncofertilitySperm bankMedicineSpermFertilityInternal medicineFamily medicineFertility preservationPopulation

Abstract

fetched live from OpenAlex

Purpose: 10-15% of adolescent and young adults (AYA) with high-risk pre-B acute lymphoblastic leukemia (ALL) may need treatment for relapsed/refractory leukemia, leading to impaired fertility. While hospitalized, sperm banking may be difficult for a newly-diagnosed AYA with ALL. This study examined practices and specific barriers to offering sperm banking at initial ALL diagnosis prior to starting chemotherapy. Methods: This cross-sectional survey study was distributed by email to all Children's Oncology Group (COG) oncologists (n=2345) in the United States, Canada, Australia and New Zealand from January-April 2022. Data were collected regarding size of program and institutional practices for sperm banking. Program size was defined by the total numbers of new ALL diagnoses per year: small (<10 per year), medium (10-30) or large (>30 per year). Data were summarized with counts and percentages and compared between groups using chi-square tests or Fisher's exact tests. Results: 572 surveys were completed, representing a 25% participation rate. 78% of responders offer sperm banking to physically able males with newly-diagnosed ALL prior to starting chemotherapy. Commonly reported barriers were: insufficient time before chemotherapy (70%), patients being too sick (44%), and lack of perceived need since most will be fertile after initial treatment (41%). 57% of the total responders work at an institution with a dedicated oncofertility team. Of the 445 responders who offer sperm banking, 190 (43%) work at programs without a dedicated oncofertility team. Most (86%) responders who offer sperm banking work at medium/large-sized institutions. Conclusion: A majority of COG oncologists who responded to our survey offer sperm banking prior to starting chemotherapy. The most frequently-cited barriers included insufficient time before treatment and patients being too sick. It is encouraging that 43% of individuals who offer sperm banking work at institutions without a dedicated oncofertility team. Medium/large institutions may have more resources to facilitate sperm banking in this setting. A possible study limitation may be respondent-bias towards individuals passionate about fertility preservation who have already adopted the practice of sperm banking at diagnosis and are not representative of all pediatric oncologists. Future directions include obtaining additional insight into COG oncologists who did not respond in order to improve education and best practices around offering sperm banking to AYA with newly-diagnosed high-risk ALL regardless of institution size or dedicated fertility preservation team. Figure 1View largeDownload PPTFigure 1View largeDownload PPT Close modal

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 score0.008
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.014
GPT teacher head0.256
Teacher spread0.242 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

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