“Just what the doctor ordered”: Factors associated with oncology patients’ decision to bank sperm
Bibliographic record
Abstract
INTRODUCTION: The purpose of this cross-sectional study was to explore factors associated with oncology patients' decision to bank sperm prior to cancer treatment. MATERIALS AND METHODS: Patients who were referred to the oncology sperm banking program between January 2009 and March 2010 were invited to complete an 18-item questionnaire during one of their sperm banking visits. RESULTS: Of the 157 cancer patients referred to the Mount Sinai Oncology Sperm and Tissue Bank for sperm banking during the 15-month period, 79 questionnaires were returned (50% response rate). Of the respondents, 89% were informed about sperm banking by their physician. Future family planning was cited as the main reason to bank. Cost was not a barrier for the vast majority of respondents. Forty percent of respondents banked sperm within 4 days prior to initiating cancer treatment. Most respondents relied on their physician for verbal information on sperm banking. Eighty-one percent were unaware of any patient organizations that have educational materials on oncology fertility preservation. CONCLUSION: Sperm banking prior to cancer treatment is the only proven method of preserving fertility for cancer patients. The two main determinants associated with deciding whether to bank sperm were: the physician's recommendation and the patient's desire for future fatherhood. Physicians play a key role in influencing patients' decisions. The recommendation to bank sperm is a persuasive message if patients are clearly informed about their potential risk of infertility post-cancer treatment, and that sperm banking is an effective way of preserving fertility. Providing patients with education materials might enhance compliance in sperm banking.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".